This commit is contained in:
willtwilson 2026-04-05 02:37:05 +00:00 committed by GitHub
commit dbe07c9fb2
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
7 changed files with 633 additions and 0 deletions

View file

@ -0,0 +1,219 @@
---
title: Agent Browser MCP
description: Browser automation via MCP using Vercel's agent-browser library (Playwright + @ref accessibility snapshots)
---
import { Steps, Callout, Tabs } from 'nextra/components'
# Agent Browser MCP Server
The agent-browser MCP server provides AI-optimised browser automation for LibreChat agents, powered by [Vercel's `agent-browser` library](https://www.npmjs.com/package/agent-browser) which uses Playwright with accessibility tree snapshots.
## Why agent-browser instead of raw Playwright/Puppeteer?
Raw Playwright and Puppeteer expose CSS selectors and XPath expressions to the model. These are brittle in single-page applications, break when a site redeploys, and require the model to infer element identity from unstructured HTML.
`agent-browser` solves this by producing **accessibility tree snapshots** with stable `@ref` identifiers:
```
button [@e3] "Sign in"
input [@e7] placeholder="Email address"
```
Every interactive element gets a unique `@e1`, `@e2`, `@e3`… reference that the model can pass directly to `click` or `fill`. This lets the LLM:
- Reference elements precisely without fragile CSS selectors
- Navigate complex SPAs without XPath hacks
- Interact reliably with dynamically rendered content
## Tools provided
| Tool | Description |
|------|-------------|
| `navigate` | Navigate to a URL; returns the page title |
| `snapshot` | Get the accessibility tree with `@ref` identifiers for all interactive elements |
| `click` | Click an element by `@ref` (from snapshot) or CSS selector |
| `fill` | Clear and type into an input field by `@ref` or CSS selector |
| `get_text` | Extract text content from an element by CSS selector |
| `press_key` | Press a keyboard key (Enter, Tab, Escape, ArrowDown, etc.) |
| `screenshot` | Take a screenshot of the current page (returns base64 PNG) |
| `get_url` | Get the current browser URL |
| `close_browser` | Close the browser session and free all resources |
## Setup
### Prerequisites
- Docker Compose (recommended) **or** Node.js ≥ 20 + Playwright system dependencies
- LibreChat configured with `mcpServers` in `librechat.yaml`
<Steps>
### Run the MCP server
<Tabs items={['Docker Compose', 'Build from source']}>
<Tabs.Tab>
Add to your `docker-compose.override.yaml`:
```yaml
services:
agent-browser-mcp:
build:
context: ./packages/mcp-servers/agent-browser
environment:
- PORT=8932
# Optional: path to a specific Chromium binary
# - CHROMIUM_PATH=/usr/bin/chromium
# Internal Docker network only — do not expose publicly without auth
# For local dev, uncomment: ports: ["127.0.0.1:8932:8932"]
restart: unless-stopped
```
</Tabs.Tab>
<Tabs.Tab>
```bash
# Clone LibreChat
git clone https://github.com/danny-avila/LibreChat
cd LibreChat/packages/mcp-servers/agent-browser
npm install
npx playwright install chromium --with-deps
npm run build
npm start
```
The server listens on `http://localhost:8932` by default. Set `PORT` to override.
</Tabs.Tab>
</Tabs>
### Configure librechat.yaml
Add the server to your `librechat.yaml`:
```yaml
# Allow the MCP client to reach the agent-browser server
mcpSettings:
allowedDomains:
- http://agent-browser-mcp:8932
- http://localhost:8932
mcpServers:
agent-browser:
type: sse
url: http://agent-browser-mcp:8932/sse
# For local/non-Docker setups:
# url: http://localhost:8932/sse
```
</Steps>
## Environment variables
| Variable | Default | Description |
|----------|---------|-------------|
| `PORT` | `8932` | HTTP port the MCP server listens on |
| `CHROMIUM_PATH` | _(Playwright managed)_ | Path to a custom Chromium binary |
### Security
<Callout type="warning">
**SSRF protection:** The `navigate` tool validates URLs and rejects requests to private
IP ranges (10.x, 192.168.x, 172.16-31.x, 127.x, 169.254.x) and internal hostnames
(localhost, .local, .internal). For internal/homelab use, fork the server and adjust
the `isAllowedUrl()` function in `src/server.ts`.
</Callout>
## Implementation reference
If you are building your own MCP SSE server or extending this one, the following pattern is critical.
### Critical: Do not add `express.json()` middleware
The MCP `SSEServerTransport.handlePostMessage` reads the raw request stream internally. Adding `express.json()` upstream of the POST `/messages` route causes Express to consume the stream before the SDK can read it, producing **HTTP 400 "stream is not readable"** on every `initialize` call and preventing all tool execution.
```typescript
import express from "express";
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
// CORRECT: no express.json() anywhere on this app
const app = express();
const transports = new Map<string, SSEServerTransport>();
app.get("/sse", async (req, res) => {
const transport = new SSEServerTransport("/messages", res);
transports.set(transport.sessionId, transport);
const server = buildMcpServer(); // creates McpServer with all tools
await server.connect(transport);
res.on("close", () => transports.delete(transport.sessionId));
});
app.post("/messages", async (req, res) => {
const transport = transports.get(req.query.sessionId as string);
if (!transport) {
res.status(404).json({ error: "Session not found" });
return;
}
await transport.handlePostMessage(req, res);
});
```
### Session management
Each LibreChat client connection creates its own `SSEServerTransport` instance on `GET /sse`. The transport's `sessionId` (a UUID generated by the SDK) is appended to the client's POST `/messages` requests as `?sessionId=…`, routing each message back to the correct server-sent events connection.
### Tool registration pattern
Tools are registered using the `McpServer` fluent API with [Zod](https://zod.dev) schemas for parameter validation:
```typescript
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { z } from "zod";
function buildMcpServer(): McpServer {
const server = new McpServer({ name: "agent-browser", version: "1.0.0" });
server.tool(
"navigate",
"Navigate the browser to a URL. Returns the page title.",
{
url: z
.string()
.url()
.refine(isAllowedUrl, {
message:
"URL must use http/https and must not point to private, loopback, or link-local addresses.",
})
.describe("Full URL including https://"),
},
async ({ url }) => {
// ... call agent-browser BrowserManager with a validated, external URL
return { content: [{ type: "text", text: `Navigated to: ${title}` }] };
}
);
// Register remaining tools...
return server;
}
```
## Typical agent workflow
```
1. navigate → https://example.com
2. snapshot → gets accessibility tree with @e1, @e2, @e3 refs
3. fill → @e7 "search query"
4. press_key → Enter
5. snapshot → inspect updated page
6. get_text → .result-list (extract results)
```
<Callout type="info">
Call `close_browser` when the task is finished to free Playwright resources. The browser session is shared across tool calls within a single server process, so leaving it open between tasks is intentional but consumes memory.
</Callout>
## Related
- [MCP Server configuration](https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/mcp_servers)
- [Vercel `agent-browser` npm package](https://www.npmjs.com/package/agent-browser)
- [Model Context Protocol SDK](https://github.com/modelcontextprotocol/typescript-sdk)

View file

@ -0,0 +1,9 @@
PORT=8932
CHROMIUM_PATH=/usr/bin/chromium
# Optional: Perplexica web search integration
# PERPLEXICA_URL=http://perplexica:3001
# PERPLEXICA_CHAT_PROVIDER=openai
# PERPLEXICA_CHAT_MODEL=gpt-4
# PERPLEXICA_EMBED_PROVIDER=ollama-embeddings
# PERPLEXICA_EMBED_MODEL=nomic-embed-text:latest

View file

@ -0,0 +1,42 @@
FROM node:22-slim AS builder
WORKDIR /app
COPY package.json tsconfig.json ./
RUN npm install
COPY src/ src/
RUN npm run build
FROM node:22-slim
# Install Chromium dependencies for Playwright
RUN apt-get update && apt-get install -y --no-install-recommends \
chromium \
fonts-liberation \
libasound2 \
libatk-bridge2.0-0 \
libatk1.0-0 \
libcups2 \
libdbus-1-3 \
libdrm2 \
libgbm1 \
libgtk-3-0 \
libnspr4 \
libnss3 \
libx11-xcb1 \
libxcomposite1 \
libxdamage1 \
libxrandr2 \
xdg-utils \
&& rm -rf /var/lib/apt/lists/*
RUN groupadd -r appuser && useradd -r -g appuser -d /app appuser
WORKDIR /app
COPY --from=builder /app/dist dist/
COPY --from=builder /app/node_modules node_modules/
COPY package.json ./
ENV CHROMIUM_PATH=/usr/bin/chromium
USER appuser
EXPOSE 8932
CMD ["node", "dist/server.js"]

View file

@ -0,0 +1,42 @@
# @librechat/mcp-agent-browser
Vercel [agent-browser](https://github.com/vercel-labs/agent-browser) wrapped as an MCP SSE server for LibreChat.
Uses Playwright with AI-optimised accessibility tree `@ref` snapshots — significantly better than raw CSS selectors for LLM-driven browser automation.
## Tools
| Tool | Description |
| --- | --- |
| `navigate` | Navigate to a URL (SSRF-protected) |
| `snapshot` | Get accessibility snapshot with `@ref` identifiers |
| `click` | Click element by `@ref` or CSS selector |
| `fill` | Fill form input by `@ref` or CSS selector |
| `get_text` | Get text content of an element |
| `press_key` | Press a keyboard key |
| `screenshot` | Take page screenshot |
| `get_url` | Get current URL |
| `close_browser` | Close browser session |
| `perplexica_search` | *(Optional)* Web search via Perplexica |
## Quick Start
```bash
docker build -t agent-browser-mcp .
docker run -p 8932:8932 agent-browser-mcp
```
## LibreChat Configuration
```yaml
mcpServers:
agent-browser:
type: sse
url: http://agent-browser-mcp:8932/sse
```
## Security
- **SSRF protection**: The `navigate` tool rejects private IPs (10.x, 192.168.x, 172.16-31.x, 127.x) and internal hostnames.
- Runs as non-root `appuser` in Docker.
- No `express.json()` middleware — see source comments for explanation.

View file

@ -0,0 +1,24 @@
{
"name": "@librechat/mcp-agent-browser",
"version": "1.0.0",
"description": "Vercel agent-browser MCP SSE server for LibreChat — Playwright-based browser automation with AI-optimised @ref snapshots",
"type": "module",
"main": "dist/server.js",
"scripts": {
"build": "tsc",
"start": "node dist/server.js",
"dev": "tsx src/server.ts"
},
"dependencies": {
"@modelcontextprotocol/sdk": "^1.0.0",
"agent-browser": "^0.16.0",
"express": "^4.21.0",
"zod": "^3.23.0"
},
"devDependencies": {
"@types/express": "^4.17.21",
"@types/node": "^22.0.0",
"tsx": "^4.19.0",
"typescript": "^5.6.0"
}
}

View file

@ -0,0 +1,283 @@
import express, { Request, Response } from "express";
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
import { z } from "zod";
import { BrowserManager } from "agent-browser/dist/browser.js";
import { executeCommand } from "agent-browser/dist/actions.js";
const PORT = parseInt(process.env.PORT ?? "8932");
const CHROMIUM_PATH = process.env.CHROMIUM_PATH ?? "";
// Optional Perplexica integration — only enabled if PERPLEXICA_URL is set
const PERPLEXICA_URL = process.env.PERPLEXICA_URL ?? "";
const PERPLEXICA_CHAT_PROVIDER = process.env.PERPLEXICA_CHAT_PROVIDER ?? "";
const PERPLEXICA_CHAT_MODEL = process.env.PERPLEXICA_CHAT_MODEL ?? "";
const PERPLEXICA_EMBED_PROVIDER = process.env.PERPLEXICA_EMBED_PROVIDER ?? "";
const PERPLEXICA_EMBED_MODEL = process.env.PERPLEXICA_EMBED_MODEL ?? "";
let browser: BrowserManager | null = null;
let cmdId = 0;
const nextId = () => `c${++cmdId}`;
async function getBrowser(): Promise<BrowserManager> {
if (!browser?.isLaunched()) {
browser = new BrowserManager();
const launchCmd: Record<string, unknown> = { id: nextId(), action: "launch", headless: true };
if (CHROMIUM_PATH) launchCmd.executablePath = CHROMIUM_PATH;
const resp = await executeCommand(launchCmd as any, browser);
if (!resp.success) throw new Error(`Browser launch failed: ${(resp as any).error}`);
}
return browser;
}
async function cmd<T = unknown>(command: Record<string, unknown>): Promise<T> {
const b = await getBrowser();
const resp = await executeCommand({ id: nextId(), ...command } as any, b);
if (!resp.success) throw new Error((resp as any).error ?? "Command failed");
return (resp as any).data as T;
}
// --- SSRF Protection ---
const isPrivateHostname = (hostname: string): boolean => {
const lower = hostname.toLowerCase();
return (
lower === "localhost" ||
lower === "ip6-localhost" ||
lower.endsWith(".local") ||
lower.endsWith(".internal")
);
};
const isPrivateIp = (hostname: string): boolean => {
if (/^\d{1,3}(\.\d{1,3}){3}$/.test(hostname)) {
const parts = hostname.split(".").map(Number);
const [a, b] = parts;
if (a === 10) return true;
if (a === 127) return true;
if (a === 169 && b === 254) return true;
if (a === 172 && b >= 16 && b <= 31) return true;
if (a === 192 && b === 168) return true;
}
return hostname === "::1";
};
const isAllowedUrl = (value: string): boolean => {
try {
const parsed = new URL(value);
if (parsed.protocol !== "http:" && parsed.protocol !== "https:") return false;
return !isPrivateHostname(parsed.hostname) && !isPrivateIp(parsed.hostname);
} catch {
return false;
}
};
// --- Optional Perplexica search ---
async function perplexicaChat(query: string): Promise<string> {
if (!PERPLEXICA_URL) throw new Error("Perplexica not configured");
const messageId = `msg-${Date.now()}`;
const chatId = `chat-${Date.now()}`;
const body = {
message: { messageId, chatId, role: "user", content: query },
chatModel: { providerId: PERPLEXICA_CHAT_PROVIDER, key: PERPLEXICA_CHAT_MODEL },
embeddingModel: { providerId: PERPLEXICA_EMBED_PROVIDER, key: PERPLEXICA_EMBED_MODEL },
sources: ["web"],
optimizationMode: "speed",
history: [],
};
const resp = await fetch(`${PERPLEXICA_URL}/api/chat`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(body),
});
if (!resp.ok) throw new Error(`Perplexica ${resp.status}: ${await resp.text()}`);
const rawText = await resp.text();
const blockValues: Map<string, string> = new Map();
for (const line of rawText.split("\n")) {
const trimmed = line.trim();
if (!trimmed) continue;
let event: any;
try { event = JSON.parse(trimmed); } catch { continue; }
if (event.type === "error") throw new Error(event.data ?? "Perplexica error");
if (event.type === "updateBlock" && Array.isArray(event.patch)) {
for (const patch of event.patch) {
if (patch.op === "replace" && patch.path === "/data") {
blockValues.set(event.blockId, String(patch.value ?? ""));
}
}
}
}
return Array.from(blockValues.values()).join("\n\n").trim() || "No response from Perplexica";
}
function buildMcpServer(): McpServer {
const server = new McpServer({ name: "agent-browser", version: "1.0.0" });
// Register Perplexica search only if configured
if (PERPLEXICA_URL) {
server.tool(
"perplexica_search",
"Search the web using Perplexica AI (gives cited answers).",
{ query: z.string().describe("Search query") },
async ({ query }: { query: string }) => {
try {
const result = await perplexicaChat(query);
return { content: [{ type: "text", text: result }] };
} catch (e) {
return { content: [{ type: "text", text: `Perplexica error: ${String(e)}` }] };
}
}
);
}
server.tool(
"navigate",
"Navigate the browser to a URL. Returns the page title. SSRF-protected: rejects private/internal addresses.",
{
url: z.string().url().refine(isAllowedUrl, {
message: "URL must use http/https and must not point to private or loopback addresses.",
}).describe("Full public URL including https://"),
},
async ({ url }: { url: string }) => {
const data = await cmd<{ url: string; title: string }>({ action: "navigate", url });
return { content: [{ type: "text", text: `Navigated to: ${data.title} (${data.url})` }] };
}
);
server.tool(
"snapshot",
"Get an accessibility snapshot of the current page with @ref identifiers. Use refs with click/fill tools.",
{},
async () => {
const data = await cmd<{ snapshot: string; origin?: string }>({
action: "snapshot",
interactive: true,
});
return { content: [{ type: "text", text: data.snapshot }] };
}
);
server.tool(
"click",
"Click an element by @ref (from snapshot) or CSS selector.",
{ ref: z.string().describe("@ref from snapshot (e.g. '@e1') or CSS selector") },
async ({ ref }: { ref: string }) => {
await cmd({ action: "click", selector: ref });
return { content: [{ type: "text", text: `Clicked ${ref}` }] };
}
);
server.tool(
"fill",
"Clear a form input and type a new value. Use @ref from snapshot or CSS selector.",
{
ref: z.string().describe("@ref from snapshot or CSS selector"),
value: z.string().describe("Value to enter"),
},
async ({ ref, value }: { ref: string; value: string }) => {
await cmd({ action: "fill", selector: ref, value });
return { content: [{ type: "text", text: `Filled ${ref} with "${value}"` }] };
}
);
server.tool(
"get_text",
"Get the text content of an element by CSS selector.",
{ selector: z.string().describe("CSS selector") },
async ({ selector }: { selector: string }) => {
const data = await cmd<{ text: string; origin?: string }>({ action: "gettext", selector });
return { content: [{ type: "text", text: data.text.slice(0, 2000) }] };
}
);
server.tool(
"press_key",
"Press a keyboard key globally (e.g. Enter, Tab, Escape, ArrowDown).",
{ key: z.string().describe("Key name e.g. Enter, Tab, ArrowDown") },
async ({ key }: { key: string }) => {
const b = await getBrowser();
await b.getPage().keyboard.press(key);
return { content: [{ type: "text", text: `Pressed ${key}` }] };
}
);
server.tool(
"screenshot",
"Take a screenshot of the current page.",
{},
async () => {
const b = await getBrowser();
const page = b.getPage();
await page.screenshot({ path: "/tmp/screenshot.png" });
return { content: [{ type: "text", text: "Screenshot taken (saved to /tmp/screenshot.png)" }] };
}
);
server.tool(
"get_url",
"Get the current browser URL.",
{},
async () => {
const data = await cmd<{ url: string }>({ action: "url" });
return { content: [{ type: "text", text: data.url }] };
}
);
server.tool(
"close_browser",
"Close the browser session and free resources.",
{},
async () => {
if (browser) {
const b = browser.getBrowser();
if (b) await b.close().catch(() => {});
browser = null;
}
return { content: [{ type: "text", text: "Browser closed" }] };
}
);
return server;
}
// CRITICAL: Do NOT add express.json() or any body-parsing middleware here.
// SSEServerTransport.handlePostMessage() reads the raw request body as a Node.js readable
// stream. If express.json() pre-consumes the stream, every MCP initialize handshake fails
// with HTTP 400 "stream is not readable", silently preventing all tool execution.
const app = express();
const transports: Map<string, SSEServerTransport> = new Map();
app.get("/health", (_req: Request, res: Response) => {
const tools = [
"navigate", "snapshot", "click", "fill", "get_text",
"press_key", "screenshot", "get_url", "close_browser",
];
if (PERPLEXICA_URL) tools.unshift("perplexica_search");
res.json({ status: "ok", tools });
});
app.get("/sse", async (req: Request, res: Response) => {
const transport = new SSEServerTransport("/messages", res);
const id = transport.sessionId;
transports.set(id, transport);
const server = buildMcpServer();
await server.connect(transport);
res.on("close", () => transports.delete(id));
});
app.post("/messages", async (req: Request, res: Response) => {
const id = req.query.sessionId as string;
const transport = transports.get(id);
if (!transport) {
res.status(404).json({ error: "Session not found" });
return;
}
await transport.handlePostMessage(req, res);
});
app.listen(PORT, () => {
console.log(`agent-browser MCP server listening on port ${PORT}`);
if (PERPLEXICA_URL) console.log(`Perplexica integration enabled: ${PERPLEXICA_URL}`);
else console.log("Perplexica integration disabled (set PERPLEXICA_URL to enable)");
});

View file

@ -0,0 +1,14 @@
{
"compilerOptions": {
"target": "ES2022",
"module": "NodeNext",
"moduleResolution": "NodeNext",
"outDir": "dist",
"rootDir": "src",
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"declaration": true
},
"include": ["src"]
}