docusaurus-plugin-mcp-server

A Docusaurus plugin that exposes an MCP (Model Context Protocol) server endpoint, allowing AI agents like Claude, Cursor, and other MCP-compatible tools to search and retrieve your documentation.

Installation

npm install docusaurus-plugin-mcp-server

Quick Start

1. Add the Plugin

// docusaurus.config.js
module.exports = {
  plugins: [
    [
      'docusaurus-plugin-mcp-server',
      {
        server: {
          name: 'my-docs',
          version: '1.0.0',
        },
      },
    ],
  ],
};

2. Create the API Endpoint

The MCP server runs on any web-standard serverless or edge runtime — Cloudflare Workers, modern Netlify functions, Vercel Edge, Deno, Bun. Import the build artifacts and pass them to createWebRequestHandler, which returns a standard (request: Request) => Promise<Response>. (These runtimes can't read the filesystem, so the data is imported as modules rather than loaded from disk.)

import { createWebRequestHandler } from 'docusaurus-plugin-mcp-server/adapters';
import docs from '../build/mcp/docs.json';
import searchIndex from '../build/mcp/search-index.json';

export default {
  fetch: createWebRequestHandler({
    docs,
    searchIndexData: searchIndex,
    name: 'my-docs',
    baseUrl: 'https://docs.example.com',
  }),
};

The export default { fetch } form works on Cloudflare Workers, Deno, and Bun. Other runtimes use their own entry convention (e.g. modern Netlify functions export default async (request) => Response) — the handler is identical, only the export wrapper differs.

The handler is unauthenticated and allows all origins (Access-Control-Allow-Origin: *) by default, since a docs MCP endpoint is meant to be public — pass corsOrigin to restrict it.

For local development, run the server over Node's http with createNodeServer from docusaurus-plugin-mcp-server/adapters/node (see Adapter Exports).

3. Build and Deploy

npm run build
# Deploy to your platform

4. Connect Your AI Tool

Claude Code:

claude mcp add --transport http my-docs https://docs.example.com/mcp

Cursor / VS Code:

{
  "mcpServers": {
    "my-docs": {
      "url": "https://docs.example.com/mcp"
    }
  }
}

5. Add an Install Button (Optional)

Add a dropdown button to your docs site so users can easily install the MCP server in their AI tool:

import { McpInstallButton } from 'docusaurus-plugin-mcp-server/theme';

function NavbarItems() {
  return <McpInstallButton serverUrl="https://docs.example.com/mcp" serverName="my-docs" />;
}

The button shows a dropdown with copy-to-clipboard configurations for all supported MCP clients.

Light Mode	Dark Mode

Props:

Prop	Type	Default	Description
serverUrl	string	required	Your MCP server endpoint URL
serverName	string	required	Name for the MCP server
label	string	(none)	Button label. If omitted, shows only the MCP icon
headerText	string	"Choose your AI tool:"	Text shown at the top of the dropdown
className	string	""	Optional CSS class
clients	ClientId[]	All HTTP-capable	Which clients to show

MCP Tools

The server exposes two tools for AI agents:

docs_search

Search across documentation with relevance ranking. Returns matching documents with URLs, snippets, and relevance scores.

{
  "name": "docs_search",
  "arguments": {
    "query": "authentication",
    "limit": 16
  }
}

Parameter	Type	Default	Description
query	string	required	Search query
limit	number	16	Max results (1-20)

Response includes:

• Full URL for each result (use with docs_fetch)
• Title and relevance score
• Snippet of matching content
• Matching headings

docs_fetch

Retrieve full page content as markdown. Use this after searching to get the complete content of a specific page.

{
  "name": "docs_fetch",
  "arguments": {
    "url": "https://docs.example.com/docs/authentication"
  }
}

Parameter	Type	Description
url	string	Full URL of the page (from search results)

Response includes:

• Page title and description
• Table of contents with anchor links
• Full markdown content

Plugin Options

Option	Type	Default	Description
outputDir	string	'mcp'	Output directory for MCP artifacts (relative to build dir)
contentSelectors	string[]	['article', 'main', ...]	CSS selectors for finding content
excludeSelectors	string[]	['nav', 'header', ...]	CSS selectors for elements to remove
minContentLength	number	50	Minimum content length to consider a page valid
server.name	string	'docs-mcp-server'	Name of the MCP server
server.version	string	'1.0.0'	Version of the MCP server
server.url	string	(derived)	Explicit MCP HTTP endpoint URL for the install button
server.urlBase	'origin' | 'site'	'origin'	How to derive the MCP URL when server.url is not set. 'origin' → {siteUrl}/{outputDir}; 'site' → under Docusaurus baseUrl
excludeRoutes	string[]	['/404*', '/search*']	Routes to exclude (glob patterns)
indexers	string[] | false	['flexsearch']	Indexers to run during build. Use false to disable. Supports built-in ('flexsearch'), relative paths, or npm packages.
search	string	'flexsearch'	Search provider module for runtime queries. Supports built-in ('flexsearch'), relative paths, or npm packages.
flexsearch	FlexSearchConfig	(tuned defaults)	Tuning for the built-in FlexSearch index (tokenize, resolution, context, fieldWeights). Must be the same at build and runtime, or the index deserializes wrong.

Default Selectors

Content selectors (in priority order):

['article', 'main', '.main-wrapper', '[role="main"]'];

Exclude selectors:

[
  'nav',
  'header',
  'footer',
  'aside',
  '[role="navigation"]',
  '[role="banner"]',
  '[role="contentinfo"]',
];

Custom Providers

The plugin uses a two-phase provider model: indexers run at build time to process documents, and search providers handle queries at runtime. Both are pluggable.

ContentIndexer

Implement ContentIndexer to push documents to an external system during build:

import type { ContentIndexer, ProviderContext, ProcessedDoc } from 'docusaurus-plugin-mcp-server';

export default class AlgoliaIndexer implements ContentIndexer {
  readonly name = 'algolia';

  shouldRun(): boolean {
    return process.env.ALGOLIA_SYNC === 'true';
  }

  async initialize(context: ProviderContext): Promise<void> {
    console.log(`[Algolia] Initializing for ${context.baseUrl}`);
  }

  async indexDocuments(docs: ProcessedDoc[]): Promise<void> {
    // Push docs to Algolia
  }

  async finalize(): Promise<Map<string, unknown>> {
    // No local artifacts needed
    return new Map();
  }
}

SearchProvider

Implement SearchProvider to delegate runtime search to an external service:

import type {
  SearchProvider,
  ProviderContext,
  SearchOptions,
  SearchResult,
} from 'docusaurus-plugin-mcp-server';

export default class GleanSearchProvider implements SearchProvider {
  readonly name = 'glean';

  private apiEndpoint = process.env.GLEAN_API_ENDPOINT!;
  private apiToken = process.env.GLEAN_API_TOKEN!;

  async initialize(context: ProviderContext): Promise<void> {
    if (!this.apiEndpoint || !this.apiToken) {
      throw new Error('GLEAN_API_ENDPOINT and GLEAN_API_TOKEN required');
    }
  }

  isReady(): boolean {
    return !!this.apiEndpoint && !!this.apiToken;
  }

  async search(query: string, options?: SearchOptions): Promise<SearchResult[]> {
    // Call Glean Search API and transform results
    return [];
  }
}

Configuring Custom Providers

// docusaurus.config.js
module.exports = {
  plugins: [
    [
      'docusaurus-plugin-mcp-server',
      {
        // Run both the built-in FlexSearch indexer and a custom one
        indexers: ['flexsearch', './my-algolia-indexer.js'],
        // Use a custom search provider at runtime
        search: '@myorg/glean-search',
      },
    ],
  ],
};

Server Configuration

For the runtime adapters:

Option	Type	Required	Description
docsPath	string	Yes*	Path to docs.json
indexPath	string	Yes*	Path to search-index.json
docs	object	Yes*	Pre-loaded docs (web handler)
searchIndexData	object	Yes*	Pre-loaded search index (web handler)
name	string	Yes	Server name
version	string	No	Server version
baseUrl	string	No	Base URL for full page URLs in responses
instructions	string	No	Instructions describing how to use the server, surfaced to MCP clients in the initialize response
tools	object	No	Per-tool overrides. Supports docs_search.description and docs_fetch.description to customize tool descriptions

*Use file paths (createNodeServer, local dev) or pre-loaded data (createWebRequestHandler, serverless/edge).

Example with extended configuration:

export default {
  fetch: createWebRequestHandler({
    docs,
    searchIndexData: searchIndex,
    name: 'my-docs',
    baseUrl: 'https://docs.example.com',
    instructions: 'Search the Acme product docs. Use docs_search to find pages, then docs_fetch for full content.',
    tools: {
      docs_search: { description: 'Search the Acme product documentation.' },
      docs_fetch: { description: 'Fetch the full markdown of an Acme docs page.' },
    },
  }),
};

Verifying Your Build

After running npm run build, use the included CLI to verify the MCP output:

npx docusaurus-mcp-verify

This checks that:

• All required files exist (docs.json, search-index.json, manifest.json)
• Document structure is valid
• The MCP server can initialize and load the content

You can specify a custom build directory:

npx docusaurus-mcp-verify ./custom-build

Example output:

🔍 MCP Build Verification
==================================================
Build directory: /path/to/your/project/build

📁 Checking build output...
   ✓ Found 42 documents
   ✓ All required files present
   ✓ File structure valid

🚀 Testing MCP server...
   ✓ Server initialized with 42 documents

✅ All checks passed!

Testing the Endpoint

The easiest way to test your MCP server is with the official MCP Inspector:

npx @modelcontextprotocol/inspector

This opens a visual interface where you can:

• Connect to your server URL
• Browse available tools
• Execute tool calls interactively
• View responses in a formatted display

Alternatively, test with curl:

# List available tools
curl -X POST https://docs.example.com/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

# Search documentation
curl -X POST https://docs.example.com/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc":"2.0",
    "id":2,
    "method":"tools/call",
    "params":{
      "name":"docs_search",
      "arguments":{"query":"getting started"}
    }
  }'

How It Works

The plugin operates in two phases:

Build Time: During docusaurus build, the plugin's postBuild hook processes all rendered HTML pages, extracts content, converts to markdown, builds a FlexSearch index, and outputs artifacts to build/mcp/.

Runtime: A serverless function loads the pre-built artifacts and handles MCP JSON-RPC requests from AI agents. The server is stateless and fast since all indexing happens at build time.

Features

• Full-text Search - FlexSearch-powered search with relevance ranking
• Page Retrieval - Get complete page content as clean markdown
• Platform Adapters - Pre-built adapters for Vercel, Netlify, and Cloudflare Workers
• CORS Support - All adapters include CORS headers for browser-based clients
• Build-time Processing - Extracts content from rendered HTML, capturing React component output
• Zero Runtime Docusaurus Dependency - The MCP server runs independently

Local Development

Run a local MCP server for testing using the built-in Node adapter:

// mcp-server.mjs
import { createNodeServer } from 'docusaurus-plugin-mcp-server/adapters/node';

createNodeServer({
  docsPath: './build/mcp/docs.json',
  indexPath: './build/mcp/search-index.json',
  name: 'my-docs',
  baseUrl: 'http://localhost:3000',
}).listen(3456, () => {
  console.log('MCP server at http://localhost:3456');
});

The Node adapter handles CORS, preflight requests, and health checks (GET) automatically.

Connect Claude Code:

claude mcp add --transport http my-docs http://localhost:3456

API Reference

Main Exports

import {
  // Docusaurus plugin (also the default export)
  mcpServerPlugin,

  // MCP server class (advanced / custom runtimes)
  McpDocsServer,

  // Tool definitions
  docsSearchTool,
  docsFetchTool,

  // Provider loaders (built-in 'flexsearch' or custom indexers/providers)
  loadIndexer,
  loadSearchProvider,

  // Resolve the MCP endpoint URL the install button uses
  resolveServerUrl,

  // Default plugin options
  DEFAULT_PLUGIN_OPTIONS,
} from 'docusaurus-plugin-mcp-server';

Adapter Exports

import { createWebRequestHandler } from 'docusaurus-plugin-mcp-server/adapters';
import { createNodeServer, createNodeHandler } from 'docusaurus-plugin-mcp-server/adapters/node';

• createNodeServer(options) — Creates a complete Node.js HTTP server for local development. Returns an http.Server ready to .listen().
• createNodeHandler(options) — Creates a request handler function compatible with http.createServer(). Use this when you need to integrate with an existing server.

Theme Exports

import {
  McpInstallButton,
  type McpInstallButtonProps,
  useMcpRegistry,
  createDocsRegistry,
  createDocsRegistryOptions,
  type McpConfig,
} from 'docusaurus-plugin-mcp-server/theme';

• McpInstallButton — Dropdown button for users to install the MCP server in their AI tool.
• useMcpRegistry() — React hook that returns the MCP config registry from plugin global data. Returns undefined if the plugin is not installed.
• createDocsRegistry(config) — Creates a pre-configured MCPConfigRegistry for documentation servers.
• createDocsRegistryOptions(config) — Returns registry options without creating the registry.
• McpConfig — Type for { serverUrl: string; serverName: string }.

Requirements

• Node.js >= 20
• Docusaurus 3.x

License

MIT

Agent skills

This repository ships agent skill(s) under skills/. Install them into your AI agent with npx skills:

npx skills add -g scalvert/docusaurus-plugin-mcp-server   # global — available in every repo
npx skills add scalvert/docusaurus-plugin-mcp-server      # or scoped to the current repo