LibreChat/api/server/services/MCP.js
Danny Avila 5af1342dbb
🦥 refactor: Event-Driven Lazy Tool Loading (#11588)
* refactor: json schema tools with lazy loading

- Added LocalToolExecutor class for lazy loading and caching of tools during execution.
- Introduced ToolExecutionContext and ToolExecutor interfaces for better type management.
- Created utility functions to generate tool proxies with JSON schema support.
- Added ExtendedJsonSchema type for enhanced schema definitions.
- Updated existing toolkits to utilize the new schema and executor functionalities.
- Introduced a comprehensive tool definitions registry for managing various tool schemas.

chore: update @librechat/agents to version 3.1.2

refactor: enhance tool loading optimization and classification

- Improved the loadAgentToolsOptimized function to utilize a proxy pattern for all tools, enabling deferred execution and reducing overhead.
- Introduced caching for tool instances and refined tool classification logic to streamline tool management.
- Updated the handling of MCP tools to improve logging and error reporting for missing tools in the cache.
- Enhanced the structure of tool definitions to support better classification and integration with existing tools.

refactor: modularize tool loading and enhance optimization

- Moved the loadAgentToolsOptimized function to a new service file for better organization and maintainability.
- Updated the ToolService to utilize the new service for optimized tool loading, improving code clarity.
- Removed legacy tool loading methods and streamlined the tool loading process to enhance performance and reduce complexity.
- Introduced feature flag handling for optimized tool loading, allowing for easier toggling of this functionality.

refactor: replace loadAgentToolsWithFlag with loadAgentTools in tool loader

refactor: enhance MCP tool loading with proxy creation and classification

refactor: optimize MCP tool loading by grouping tools by server

- Introduced a Map to group cached tools by server name, improving the organization of tool data.
- Updated the createMCPProxyTool function to accept server name directly, enhancing clarity.
- Refactored the logic for handling MCP tools, streamlining the process of creating proxy tools for classification.

refactor: enhance MCP tool loading and proxy creation

- Added functionality to retrieve MCP server tools and reinitialize servers if necessary, improving tool availability.
- Updated the tool loading logic to utilize a Map for organizing tools by server, enhancing clarity and performance.
- Refactored the createToolProxy function to ensure a default response format, streamlining tool creation.

refactor: update createToolProxy to ensure consistent response format

- Modified the createToolProxy function to await the executor's execution and validate the result format.
- Ensured that the function returns a default response structure when the result is not an array of two elements, enhancing reliability in tool proxy creation.

refactor: ToolExecutionContext with toolCall property

- Added toolCall property to ToolExecutionContext interface for improved context handling during tool execution.
- Updated LocalToolExecutor to include toolCall in the runnable configuration, allowing for more flexible tool invocation.
- Modified createToolProxy to pass toolCall from the configuration, ensuring consistent context across tool executions.

refactor: enhance event-driven tool execution and logging

- Introduced ToolExecuteOptions for improved handling of event-driven tool execution, allowing for parallel execution of tool calls.
- Updated getDefaultHandlers to include support for ON_TOOL_EXECUTE events, enhancing the flexibility of tool invocation.
- Added detailed logging in LocalToolExecutor to track tool loading and execution metrics, improving observability and debugging capabilities.
- Refactored initializeClient to integrate event-driven tool loading, ensuring compatibility with the new execution model.

chore: update @librechat/agents to version 3.1.21

refactor: remove legacy tool loading and executor components

- Eliminated the loadAgentToolsWithFlag function, simplifying the tool loading process by directly using loadAgentTools.
- Removed the LocalToolExecutor and related executor components to streamline the tool execution architecture.
- Updated ToolService and related files to reflect the removal of deprecated features, enhancing code clarity and maintainability.

refactor: enhance tool classification and definitions handling

- Updated the loadAgentTools function to return toolDefinitions alongside toolRegistry, improving the structure of tool data returned to clients.
- Removed the convertRegistryToDefinitions function from the initialize.js file, simplifying the initialization process.
- Adjusted the buildToolClassification function to ensure toolDefinitions are built and returned simultaneously with the toolRegistry, enhancing efficiency in tool management.
- Updated type definitions in initialize.ts to include toolDefinitions, ensuring consistency across the codebase.

refactor: implement event-driven tool execution handler

- Introduced createToolExecuteHandler function to streamline the handling of ON_TOOL_EXECUTE events, allowing for parallel execution of tool calls.
- Updated getDefaultHandlers to utilize the new handler, simplifying the event-driven architecture.
- Added handlers.ts file to encapsulate tool execution logic, improving code organization and maintainability.
- Enhanced OpenAI handlers to integrate the new tool execution capabilities, ensuring consistent event handling across the application.

refactor: integrate event-driven tool execution options

- Added toolExecuteOptions to support event-driven tool execution in OpenAI and responses controllers, enhancing flexibility in tool handling.
- Updated handlers to utilize createToolExecuteHandler, allowing for streamlined execution of tools during agent interactions.
- Refactored service dependencies to include toolExecuteOptions, ensuring consistent integration across the application.

refactor: enhance tool loading with definitionsOnly parameter

- Updated createToolLoader and loadAgentTools functions to include a definitionsOnly parameter, allowing for the retrieval of only serializable tool definitions in event-driven mode.
- Adjusted related interfaces and documentation to reflect the new parameter, improving clarity and flexibility in tool management.
- Ensured compatibility across various components by integrating the definitionsOnly option in the initialization process.

refactor: improve agent tool presence check in initialization

- Added a check for tool presence using a new hasAgentTools variable, which evaluates both structuredTools and toolDefinitions.
- Updated the conditional logic in the agent initialization process to utilize the hasAgentTools variable, enhancing clarity and maintainability in tool management.

refactor: enhance agent tool extraction to support tool definitions

- Updated the extractMCPServers function to handle both tool instances and serializable tool definitions, improving flexibility in agent tool management.
- Added a new property toolDefinitions to the AgentWithTools type for better integration of event-driven mode.
- Enhanced documentation to clarify the function's capabilities in extracting unique MCP server names from both tools and tool definitions.

refactor: enhance tool classification and registry building

- Added serverName property to ToolDefinition for improved tool identification.
- Introduced buildToolRegistry function to streamline the creation of tool registries based on MCP tool definitions and agent options.
- Updated buildToolClassification to utilize the new registry building logic, ensuring basic definitions are returned even when advanced classification features are not allowed.
- Enhanced documentation and logging for clarity in tool classification processes.

refactor: update @librechat/agents dependency to version 3.1.22

fix: expose loadTools function in ToolService

- Added loadTools function to the exported module in ToolService.js, enhancing the accessibility of tool loading functionality.

chore: remove configurable options from tool execute options in OpenAI controller

refactor: enhance tool loading mechanism to utilize agent-specific context

chore: update @librechat/agents dependency to version 3.1.23

fix: simplify result handling in createToolExecuteHandler

* refactor: loadToolDefinitions for efficient tool loading in event-driven mode

* refactor: replace legacy tool loading with loadToolsForExecution in OpenAI and responses controllers

- Updated OpenAIChatCompletionController and createResponse functions to utilize loadToolsForExecution for improved tool loading.
- Removed deprecated loadToolsLegacy references, streamlining the tool execution process.
- Enhanced tool loading options to include agent-specific context and configurations.

* refactor: enhance tool loading and execution handling

- Introduced loadActionToolsForExecution function to streamline loading of action tools, improving organization and maintainability.
- Updated loadToolsForExecution to handle both regular and action tools, optimizing the tool loading process.
- Added detailed logging for missing tools in createToolExecuteHandler, enhancing error visibility.
- Refactored tool definitions to normalize action tool names, improving consistency in tool management.

* refactor: enhance built-in tool definitions loading

- Updated loadToolDefinitions to include descriptions and parameters from the tool registry for built-in tools, improving the clarity and usability of tool definitions.
- Integrated getToolDefinition to streamline the retrieval of tool metadata, enhancing the overall tool management process.

* feat: add action tool definitions loading to tool service

- Introduced getActionToolDefinitions function to load action tool definitions based on agent ID and tool names, enhancing the tool loading process.
- Updated loadToolDefinitions to integrate action tool definitions, allowing for better management and retrieval of action-specific tools.
- Added comprehensive tests for action tool definitions to ensure correct loading and parameter handling, improving overall reliability and functionality.

* chore: update @librechat/agents dependency to version 3.1.26

* refactor: add toolEndCallback to handle tool execution results

* fix: tool definitions and execution handling

- Introduced native tools (execute_code, file_search, web_search) to the tool service, allowing for better integration and management of these tools.
- Updated isBuiltInTool function to include native tools in the built-in check, improving tool recognition.
- Added comprehensive tests for loading parameters of native tools, ensuring correct functionality and parameter handling.
- Enhanced tool definitions registry to include new agent tool definitions, streamlining tool retrieval and management.

* refactor: enhance tool loading and execution context

- Added toolRegistry to the context for OpenAIChatCompletionController and createResponse functions, improving tool management.
- Updated loadToolsForExecution to utilize toolRegistry for better integration of programmatic tools and tool search functionalities.
- Enhanced the initialization process to include toolRegistry in agent context, streamlining tool access and configuration.
- Refactored tool classification logic to support event-driven execution, ensuring compatibility with new tool definitions.

* chore: add request duration logging to OpenAI and Responses controllers

- Introduced logging for request start and completion times in OpenAIChatCompletionController and createResponse functions.
- Calculated and logged the duration of each request, enhancing observability and performance tracking.
- Improved debugging capabilities by providing detailed logs for both streaming and non-streaming responses.

* chore: update @librechat/agents dependency to version 3.1.27

* refactor: implement buildToolSet function for tool management

- Introduced buildToolSet function to streamline the creation of tool sets from agent configurations, enhancing tool management across various controllers.
- Updated AgentClient, OpenAIChatCompletionController, and createResponse functions to utilize buildToolSet, improving consistency in tool handling.
- Added comprehensive tests for buildToolSet to ensure correct functionality and edge case handling, enhancing overall reliability.

* refactor: update import paths for ToolExecuteOptions and createToolExecuteHandler

* fix: update GoogleSearch.js description for maximum search results

- Changed the default maximum number of search results from 10 to 5 in the Google Search JSON schema description, ensuring accurate documentation of the expected behavior.

* chore: remove deprecated Browser tool and associated assets

- Deleted the Browser tool definition from manifest.json, which included its name, plugin key, description, and authentication configuration.
- Removed the web-browser.svg asset as it is no longer needed following the removal of the Browser tool.

* fix: ensure tool definitions are valid before processing

- Added a check to verify the existence of tool definitions in the registry before accessing their properties, preventing potential runtime errors.
- Updated the loading logic for built-in tool definitions to ensure that only valid definitions are pushed to the built-in tool definitions array.

* fix: extend ExtendedJsonSchema to support 'null' type and nullable enums

- Updated the ExtendedJsonSchema type to include 'null' as a valid type option.
- Modified the enum property to accept an array of values that can include strings, numbers, booleans, and null, enhancing schema flexibility.

* test: add comprehensive tests for tool definitions loading and registry behavior

- Implemented tests to verify the handling of built-in tools without registry definitions, ensuring they are skipped correctly.
- Added tests to confirm that built-in tools include descriptions and parameters in the registry.
- Enhanced tests for action tools, checking for proper inclusion of metadata and handling of tools without parameters in the registry.

* test: add tests for mixed-type and number enum schema handling

- Introduced tests to validate the parsing of mixed-type enum values, including strings, numbers, booleans, and null.
- Added tests for number enum schema values to ensure correct parsing of numeric inputs, enhancing schema validation coverage.

* fix: update mock implementation for @librechat/agents

- Changed the mock for @librechat/agents to spread the actual module's properties, ensuring that all necessary functionalities are preserved in tests.
- This adjustment enhances the accuracy of the tests by reflecting the real structure of the module.

* fix: change max_results type in GoogleSearch schema from number to integer

- Updated the type of max_results in the Google Search JSON schema to 'integer' for better type accuracy and validation consistency.

* fix: update max_results description and type in GoogleSearch schema

- Changed the type of max_results from 'number' to 'integer' for improved type accuracy.
- Updated the description to reflect the new default maximum number of search results, changing it from 10 to 5.

* refactor: remove unused code and improve tool registry handling

- Eliminated outdated comments and conditional logic related to event-driven mode in the ToolService.
- Enhanced the handling of the tool registry by ensuring it is configurable for better integration during tool execution.

* feat: add definitionsOnly option to buildToolClassification for event-driven mode

- Introduced a new parameter, definitionsOnly, to the BuildToolClassificationParams interface to enable a mode that skips tool instance creation.
- Updated the buildToolClassification function to conditionally add tool definitions without instantiating tools when definitionsOnly is true.
- Modified the loadToolDefinitions function to pass definitionsOnly as true, ensuring compatibility with the new feature.

* test: add unit tests for buildToolClassification with definitionsOnly option

- Implemented tests to verify the behavior of buildToolClassification when definitionsOnly is set to true or false.
- Ensured that tool instances are not created when definitionsOnly is true, while still adding necessary tool definitions.
- Confirmed that loadAuthValues is called appropriately based on the definitionsOnly parameter, enhancing test coverage for this new feature.
2026-02-01 08:50:57 -05:00

721 lines
23 KiB
JavaScript

const { tool } = require('@langchain/core/tools');
const { logger } = require('@librechat/data-schemas');
const {
Providers,
StepTypes,
GraphEvents,
Constants: AgentConstants,
} = require('@librechat/agents');
const {
sendEvent,
MCPOAuthHandler,
isMCPDomainAllowed,
normalizeServerName,
resolveJsonSchemaRefs,
GenerationJobManager,
} = require('@librechat/api');
const {
Time,
CacheKeys,
Constants,
ContentTypes,
isAssistantsEndpoint,
} = require('librechat-data-provider');
const {
getOAuthReconnectionManager,
getMCPServersRegistry,
getFlowStateManager,
getMCPManager,
} = require('~/config');
const { findToken, createToken, updateToken } = require('~/models');
const { getGraphApiToken } = require('./GraphTokenService');
const { reinitMCPServer } = require('./Tools/mcp');
const { getAppConfig } = require('./Config');
const { getLogStores } = require('~/cache');
function isEmptyObjectSchema(jsonSchema) {
return (
jsonSchema != null &&
typeof jsonSchema === 'object' &&
jsonSchema.type === 'object' &&
(jsonSchema.properties == null || Object.keys(jsonSchema.properties).length === 0) &&
!jsonSchema.additionalProperties
);
}
/**
* @param {object} params
* @param {ServerResponse} params.res - The Express response object for sending events.
* @param {string} params.stepId - The ID of the step in the flow.
* @param {ToolCallChunk} params.toolCall - The tool call object containing tool information.
* @param {string | null} [params.streamId] - The stream ID for resumable mode.
*/
function createRunStepDeltaEmitter({ res, stepId, toolCall, streamId = null }) {
/**
* @param {string} authURL - The URL to redirect the user for OAuth authentication.
* @returns {void}
*/
return function (authURL) {
/** @type {{ id: string; delta: AgentToolCallDelta }} */
const data = {
id: stepId,
delta: {
type: StepTypes.TOOL_CALLS,
tool_calls: [{ ...toolCall, args: '' }],
auth: authURL,
expires_at: Date.now() + Time.TWO_MINUTES,
},
};
const eventData = { event: GraphEvents.ON_RUN_STEP_DELTA, data };
if (streamId) {
GenerationJobManager.emitChunk(streamId, eventData);
} else {
sendEvent(res, eventData);
}
};
}
/**
* @param {object} params
* @param {ServerResponse} params.res - The Express response object for sending events.
* @param {string} params.runId - The Run ID, i.e. message ID
* @param {string} params.stepId - The ID of the step in the flow.
* @param {ToolCallChunk} params.toolCall - The tool call object containing tool information.
* @param {number} [params.index]
* @param {string | null} [params.streamId] - The stream ID for resumable mode.
*/
function createRunStepEmitter({ res, runId, stepId, toolCall, index, streamId = null }) {
return function () {
/** @type {import('@librechat/agents').RunStep} */
const data = {
runId: runId ?? Constants.USE_PRELIM_RESPONSE_MESSAGE_ID,
id: stepId,
type: StepTypes.TOOL_CALLS,
index: index ?? 0,
stepDetails: {
type: StepTypes.TOOL_CALLS,
tool_calls: [toolCall],
},
};
const eventData = { event: GraphEvents.ON_RUN_STEP, data };
if (streamId) {
GenerationJobManager.emitChunk(streamId, eventData);
} else {
sendEvent(res, eventData);
}
};
}
/**
* Creates a function used to ensure the flow handler is only invoked once
* @param {object} params
* @param {string} params.flowId - The ID of the login flow.
* @param {FlowStateManager<any>} params.flowManager - The flow manager instance.
* @param {(authURL: string) => void} [params.callback]
*/
function createOAuthStart({ flowId, flowManager, callback }) {
/**
* Creates a function to handle OAuth login requests.
* @param {string} authURL - The URL to redirect the user for OAuth authentication.
* @returns {Promise<boolean>} Returns true to indicate the event was sent successfully.
*/
return async function (authURL) {
await flowManager.createFlowWithHandler(flowId, 'oauth_login', async () => {
callback?.(authURL);
logger.debug('Sent OAuth login request to client');
return true;
});
};
}
/**
* @param {object} params
* @param {ServerResponse} params.res - The Express response object for sending events.
* @param {string} params.stepId - The ID of the step in the flow.
* @param {ToolCallChunk} params.toolCall - The tool call object containing tool information.
* @param {string | null} [params.streamId] - The stream ID for resumable mode.
*/
function createOAuthEnd({ res, stepId, toolCall, streamId = null }) {
return async function () {
/** @type {{ id: string; delta: AgentToolCallDelta }} */
const data = {
id: stepId,
delta: {
type: StepTypes.TOOL_CALLS,
tool_calls: [{ ...toolCall }],
},
};
const eventData = { event: GraphEvents.ON_RUN_STEP_DELTA, data };
if (streamId) {
GenerationJobManager.emitChunk(streamId, eventData);
} else {
sendEvent(res, eventData);
}
logger.debug('Sent OAuth login success to client');
};
}
/**
* @param {object} params
* @param {string} params.userId - The ID of the user.
* @param {string} params.serverName - The name of the server.
* @param {string} params.toolName - The name of the tool.
* @param {FlowStateManager<any>} params.flowManager - The flow manager instance.
*/
function createAbortHandler({ userId, serverName, toolName, flowManager }) {
return function () {
logger.info(`[MCP][User: ${userId}][${serverName}][${toolName}] Tool call aborted`);
const flowId = MCPOAuthHandler.generateFlowId(userId, serverName);
// Clean up both mcp_oauth and mcp_get_tokens flows
flowManager.failFlow(flowId, 'mcp_oauth', new Error('Tool call aborted'));
flowManager.failFlow(flowId, 'mcp_get_tokens', new Error('Tool call aborted'));
};
}
/**
* @param {Object} params
* @param {() => void} params.runStepEmitter
* @param {(authURL: string) => void} params.runStepDeltaEmitter
* @returns {(authURL: string) => void}
*/
function createOAuthCallback({ runStepEmitter, runStepDeltaEmitter }) {
return function (authURL) {
runStepEmitter();
runStepDeltaEmitter(authURL);
};
}
/**
* @param {Object} params
* @param {ServerResponse} params.res - The Express response object for sending events.
* @param {IUser} params.user - The user from the request object.
* @param {string} params.serverName
* @param {AbortSignal} params.signal
* @param {string} params.model
* @param {number} [params.index]
* @param {string | null} [params.streamId] - The stream ID for resumable mode.
* @param {Record<string, Record<string, string>>} [params.userMCPAuthMap]
* @returns { Promise<Array<typeof tool | { _call: (toolInput: Object | string) => unknown}>> } An object with `_call` method to execute the tool input.
*/
async function reconnectServer({
res,
user,
index,
signal,
serverName,
userMCPAuthMap,
streamId = null,
}) {
logger.debug(
`[MCP][reconnectServer] serverName: ${serverName}, user: ${user?.id}, hasUserMCPAuthMap: ${!!userMCPAuthMap}`,
);
const runId = Constants.USE_PRELIM_RESPONSE_MESSAGE_ID;
const flowId = `${user.id}:${serverName}:${Date.now()}`;
const flowManager = getFlowStateManager(getLogStores(CacheKeys.FLOWS));
const stepId = 'step_oauth_login_' + serverName;
const toolCall = {
id: flowId,
name: serverName,
type: 'tool_call_chunk',
};
// Set up abort handler to clean up OAuth flows if request is aborted
const oauthFlowId = MCPOAuthHandler.generateFlowId(user.id, serverName);
const abortHandler = () => {
logger.info(
`[MCP][User: ${user.id}][${serverName}] Tool loading aborted, cleaning up OAuth flows`,
);
// Clean up both mcp_oauth and mcp_get_tokens flows
flowManager.failFlow(oauthFlowId, 'mcp_oauth', new Error('Tool loading aborted'));
flowManager.failFlow(oauthFlowId, 'mcp_get_tokens', new Error('Tool loading aborted'));
};
if (signal) {
signal.addEventListener('abort', abortHandler, { once: true });
}
try {
const runStepEmitter = createRunStepEmitter({
res,
index,
runId,
stepId,
toolCall,
streamId,
});
const runStepDeltaEmitter = createRunStepDeltaEmitter({
res,
stepId,
toolCall,
streamId,
});
const callback = createOAuthCallback({ runStepEmitter, runStepDeltaEmitter });
const oauthStart = createOAuthStart({
res,
flowId,
callback,
flowManager,
});
return await reinitMCPServer({
user,
signal,
serverName,
oauthStart,
flowManager,
userMCPAuthMap,
forceNew: true,
returnOnOAuth: false,
connectionTimeout: Time.TWO_MINUTES,
});
} finally {
// Clean up abort handler to prevent memory leaks
if (signal) {
signal.removeEventListener('abort', abortHandler);
}
}
}
/**
* Creates all tools from the specified MCP Server via `toolKey`.
*
* This function assumes tools could not be aggregated from the cache of tool definitions,
* i.e. `availableTools`, and will reinitialize the MCP server to ensure all tools are generated.
*
* @param {Object} params
* @param {ServerResponse} params.res - The Express response object for sending events.
* @param {IUser} params.user - The user from the request object.
* @param {string} params.serverName
* @param {string} params.model
* @param {Providers | EModelEndpoint} params.provider - The provider for the tool.
* @param {number} [params.index]
* @param {AbortSignal} [params.signal]
* @param {string | null} [params.streamId] - The stream ID for resumable mode.
* @param {import('@librechat/api').ParsedServerConfig} [params.config]
* @param {Record<string, Record<string, string>>} [params.userMCPAuthMap]
* @returns { Promise<Array<typeof tool | { _call: (toolInput: Object | string) => unknown}>> } An object with `_call` method to execute the tool input.
*/
async function createMCPTools({
res,
user,
index,
signal,
config,
provider,
serverName,
userMCPAuthMap,
streamId = null,
}) {
// Early domain validation before reconnecting server (avoid wasted work on disallowed domains)
// Use getAppConfig() to support per-user/role domain restrictions
const serverConfig =
config ?? (await getMCPServersRegistry().getServerConfig(serverName, user?.id));
if (serverConfig?.url) {
const appConfig = await getAppConfig({ role: user?.role });
const allowedDomains = appConfig?.mcpSettings?.allowedDomains;
const isDomainAllowed = await isMCPDomainAllowed(serverConfig, allowedDomains);
if (!isDomainAllowed) {
logger.warn(`[MCP][${serverName}] Domain not allowed, skipping all tools`);
return [];
}
}
const result = await reconnectServer({
res,
user,
index,
signal,
serverName,
userMCPAuthMap,
streamId,
});
if (!result || !result.tools) {
logger.warn(`[MCP][${serverName}] Failed to reinitialize MCP server.`);
return;
}
const serverTools = [];
for (const tool of result.tools) {
const toolInstance = await createMCPTool({
res,
user,
provider,
userMCPAuthMap,
streamId,
availableTools: result.availableTools,
toolKey: `${tool.name}${Constants.mcp_delimiter}${serverName}`,
config: serverConfig,
});
if (toolInstance) {
serverTools.push(toolInstance);
}
}
return serverTools;
}
/**
* Creates a single tool from the specified MCP Server via `toolKey`.
* @param {Object} params
* @param {ServerResponse} params.res - The Express response object for sending events.
* @param {IUser} params.user - The user from the request object.
* @param {string} params.toolKey - The toolKey for the tool.
* @param {string} params.model - The model for the tool.
* @param {number} [params.index]
* @param {AbortSignal} [params.signal]
* @param {string | null} [params.streamId] - The stream ID for resumable mode.
* @param {Providers | EModelEndpoint} params.provider - The provider for the tool.
* @param {LCAvailableTools} [params.availableTools]
* @param {Record<string, Record<string, string>>} [params.userMCPAuthMap]
* @param {import('@librechat/api').ParsedServerConfig} [params.config]
* @returns { Promise<typeof tool | { _call: (toolInput: Object | string) => unknown}> } An object with `_call` method to execute the tool input.
*/
async function createMCPTool({
res,
user,
index,
signal,
toolKey,
provider,
userMCPAuthMap,
availableTools,
config,
streamId = null,
}) {
const [toolName, serverName] = toolKey.split(Constants.mcp_delimiter);
// Runtime domain validation: check if the server's domain is still allowed
// Use getAppConfig() to support per-user/role domain restrictions
const serverConfig =
config ?? (await getMCPServersRegistry().getServerConfig(serverName, user?.id));
if (serverConfig?.url) {
const appConfig = await getAppConfig({ role: user?.role });
const allowedDomains = appConfig?.mcpSettings?.allowedDomains;
const isDomainAllowed = await isMCPDomainAllowed(serverConfig, allowedDomains);
if (!isDomainAllowed) {
logger.warn(`[MCP][${serverName}] Domain no longer allowed, skipping tool: ${toolName}`);
return undefined;
}
}
/** @type {LCTool | undefined} */
let toolDefinition = availableTools?.[toolKey]?.function;
if (!toolDefinition) {
logger.warn(
`[MCP][${serverName}][${toolName}] Requested tool not found in available tools, re-initializing MCP server.`,
);
const result = await reconnectServer({
res,
user,
index,
signal,
serverName,
userMCPAuthMap,
streamId,
});
toolDefinition = result?.availableTools?.[toolKey]?.function;
}
if (!toolDefinition) {
logger.warn(`[MCP][${serverName}][${toolName}] Tool definition not found, cannot create tool.`);
return;
}
return createToolInstance({
res,
provider,
toolName,
serverName,
toolDefinition,
streamId,
});
}
function createToolInstance({
res,
toolName,
serverName,
toolDefinition,
provider: _provider,
streamId = null,
}) {
/** @type {LCTool} */
const { description, parameters } = toolDefinition;
const isGoogle = _provider === Providers.VERTEXAI || _provider === Providers.GOOGLE;
let schema = parameters ? resolveJsonSchemaRefs(parameters) : null;
if (!schema || (isGoogle && isEmptyObjectSchema(schema))) {
schema = {
type: 'object',
properties: {
input: { type: 'string', description: 'Input for the tool' },
},
required: [],
};
}
const normalizedToolKey = `${toolName}${Constants.mcp_delimiter}${normalizeServerName(serverName)}`;
/** @type {(toolArguments: Object | string, config?: GraphRunnableConfig) => Promise<unknown>} */
const _call = async (toolArguments, config) => {
const userId = config?.configurable?.user?.id || config?.configurable?.user_id;
/** @type {ReturnType<typeof createAbortHandler>} */
let abortHandler = null;
/** @type {AbortSignal} */
let derivedSignal = null;
try {
const flowsCache = getLogStores(CacheKeys.FLOWS);
const flowManager = getFlowStateManager(flowsCache);
derivedSignal = config?.signal ? AbortSignal.any([config.signal]) : undefined;
const mcpManager = getMCPManager(userId);
const provider = (config?.metadata?.provider || _provider)?.toLowerCase();
const { args: _args, stepId, ...toolCall } = config.toolCall ?? {};
const flowId = `${serverName}:oauth_login:${config.metadata.thread_id}:${config.metadata.run_id}`;
const runStepDeltaEmitter = createRunStepDeltaEmitter({
res,
stepId,
toolCall,
streamId,
});
const oauthStart = createOAuthStart({
flowId,
flowManager,
callback: runStepDeltaEmitter,
});
const oauthEnd = createOAuthEnd({
res,
stepId,
toolCall,
streamId,
});
if (derivedSignal) {
abortHandler = createAbortHandler({ userId, serverName, toolName, flowManager });
derivedSignal.addEventListener('abort', abortHandler, { once: true });
}
const customUserVars =
config?.configurable?.userMCPAuthMap?.[`${Constants.mcp_prefix}${serverName}`];
const result = await mcpManager.callTool({
serverName,
toolName,
provider,
toolArguments,
options: {
signal: derivedSignal,
},
user: config?.configurable?.user,
requestBody: config?.configurable?.requestBody,
customUserVars,
flowManager,
tokenMethods: {
findToken,
createToken,
updateToken,
},
oauthStart,
oauthEnd,
graphTokenResolver: getGraphApiToken,
});
if (isAssistantsEndpoint(provider) && Array.isArray(result)) {
return result[0];
}
if (isGoogle && Array.isArray(result[0]) && result[0][0]?.type === ContentTypes.TEXT) {
return [result[0][0].text, result[1]];
}
return result;
} catch (error) {
logger.error(
`[MCP][${serverName}][${toolName}][User: ${userId}] Error calling MCP tool:`,
error,
);
/** OAuth error, provide a helpful message */
const isOAuthError =
error.message?.includes('401') ||
error.message?.includes('OAuth') ||
error.message?.includes('authentication') ||
error.message?.includes('Non-200 status code (401)');
if (isOAuthError) {
throw new Error(
`[MCP][${serverName}][${toolName}] OAuth authentication required. Please check the server logs for the authentication URL.`,
);
}
throw new Error(
`[MCP][${serverName}][${toolName}] tool call failed${error?.message ? `: ${error?.message}` : '.'}`,
);
} finally {
// Clean up abort handler to prevent memory leaks
if (abortHandler && derivedSignal) {
derivedSignal.removeEventListener('abort', abortHandler);
}
}
};
const toolInstance = tool(_call, {
schema,
name: normalizedToolKey,
description: description || '',
responseFormat: AgentConstants.CONTENT_AND_ARTIFACT,
});
toolInstance.mcp = true;
toolInstance.mcpRawServerName = serverName;
toolInstance.mcpJsonSchema = parameters;
return toolInstance;
}
/**
* Get MCP setup data including config, connections, and OAuth servers
* @param {string} userId - The user ID
* @returns {Object} Object containing mcpConfig, appConnections, userConnections, and oauthServers
*/
async function getMCPSetupData(userId) {
const mcpConfig = await getMCPServersRegistry().getAllServerConfigs(userId);
if (!mcpConfig) {
throw new Error('MCP config not found');
}
const mcpManager = getMCPManager(userId);
/** @type {Map<string, import('@librechat/api').MCPConnection>} */
let appConnections = new Map();
try {
// Use getLoaded() instead of getAll() to avoid forcing connection creation
// getAll() creates connections for all servers, which is problematic for servers
// that require user context (e.g., those with {{LIBRECHAT_USER_ID}} placeholders)
appConnections = (await mcpManager.appConnections?.getLoaded()) || new Map();
} catch (error) {
logger.error(`[MCP][User: ${userId}] Error getting app connections:`, error);
}
const userConnections = mcpManager.getUserConnections(userId) || new Map();
const oauthServers = await getMCPServersRegistry().getOAuthServers(userId);
return {
mcpConfig,
oauthServers,
appConnections,
userConnections,
};
}
/**
* Check OAuth flow status for a user and server
* @param {string} userId - The user ID
* @param {string} serverName - The server name
* @returns {Object} Object containing hasActiveFlow and hasFailedFlow flags
*/
async function checkOAuthFlowStatus(userId, serverName) {
const flowsCache = getLogStores(CacheKeys.FLOWS);
const flowManager = getFlowStateManager(flowsCache);
const flowId = MCPOAuthHandler.generateFlowId(userId, serverName);
try {
const flowState = await flowManager.getFlowState(flowId, 'mcp_oauth');
if (!flowState) {
return { hasActiveFlow: false, hasFailedFlow: false };
}
const flowAge = Date.now() - flowState.createdAt;
const flowTTL = flowState.ttl || 180000; // Default 3 minutes
if (flowState.status === 'FAILED' || flowAge > flowTTL) {
const wasCancelled = flowState.error && flowState.error.includes('cancelled');
if (wasCancelled) {
logger.debug(`[MCP Connection Status] Found cancelled OAuth flow for ${serverName}`, {
flowId,
status: flowState.status,
error: flowState.error,
});
return { hasActiveFlow: false, hasFailedFlow: false };
} else {
logger.debug(`[MCP Connection Status] Found failed OAuth flow for ${serverName}`, {
flowId,
status: flowState.status,
flowAge,
flowTTL,
timedOut: flowAge > flowTTL,
error: flowState.error,
});
return { hasActiveFlow: false, hasFailedFlow: true };
}
}
if (flowState.status === 'PENDING') {
logger.debug(`[MCP Connection Status] Found active OAuth flow for ${serverName}`, {
flowId,
flowAge,
flowTTL,
});
return { hasActiveFlow: true, hasFailedFlow: false };
}
return { hasActiveFlow: false, hasFailedFlow: false };
} catch (error) {
logger.error(`[MCP Connection Status] Error checking OAuth flows for ${serverName}:`, error);
return { hasActiveFlow: false, hasFailedFlow: false };
}
}
/**
* Get connection status for a specific MCP server
* @param {string} userId - The user ID
* @param {string} serverName - The server name
* @param {import('@librechat/api').ParsedServerConfig} config - The server configuration
* @param {Map<string, import('@librechat/api').MCPConnection>} appConnections - App-level connections
* @param {Map<string, import('@librechat/api').MCPConnection>} userConnections - User-level connections
* @param {Set} oauthServers - Set of OAuth servers
* @returns {Object} Object containing requiresOAuth and connectionState
*/
async function getServerConnectionStatus(
userId,
serverName,
config,
appConnections,
userConnections,
oauthServers,
) {
const connection = appConnections.get(serverName) || userConnections.get(serverName);
const isStaleOrDoNotExist = connection ? connection?.isStale(config.updatedAt) : true;
const baseConnectionState = isStaleOrDoNotExist
? 'disconnected'
: connection?.connectionState || 'disconnected';
let finalConnectionState = baseConnectionState;
// connection state overrides specific to OAuth servers
if (baseConnectionState === 'disconnected' && oauthServers.has(serverName)) {
// check if server is actively being reconnected
const oauthReconnectionManager = getOAuthReconnectionManager();
if (oauthReconnectionManager.isReconnecting(userId, serverName)) {
finalConnectionState = 'connecting';
} else {
const { hasActiveFlow, hasFailedFlow } = await checkOAuthFlowStatus(userId, serverName);
if (hasFailedFlow) {
finalConnectionState = 'error';
} else if (hasActiveFlow) {
finalConnectionState = 'connecting';
}
}
}
return {
requiresOAuth: oauthServers.has(serverName),
connectionState: finalConnectionState,
};
}
module.exports = {
createMCPTool,
createMCPTools,
getMCPSetupData,
checkOAuthFlowStatus,
getServerConnectionStatus,
};