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docs-mcp

MCP.Pizza Chef: buger

docs-mcp is a flexible MCP server that transforms any GitHub repository or local folder into a searchable knowledge base. Powered by Probe, it enables AI assistants to interact naturally with codebases and documentation, supporting both public and private repos. Users can query and chat with their code or docs in real time, making it ideal for developer workflows and documentation search.

Use This MCP server To

Chat with any GitHub repository using natural language queries Search and query project documentation interactively Enable AI assistants to access and understand codebases Integrate searchable code and docs into developer tools Support private and public Git repos for secure querying Facilitate onboarding by querying project docs and code Automate codebase exploration and information retrieval

README

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Docs MCP Server

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This project provides a flexible Model Context Protocol (MCP) server, powered by Probe, designed to make documentation or codebases searchable by AI assistants.

Docs Server MCP server

You can chat with code or your docs, simply by pointing to git repo or a folder.

npx -y @buger/docs-mcp@latest --gitUrl https://github.com/buger/probe

Use Cases:

  • Chat with any GitHub Repository: Point the server to a public or private Git repository to enable natural language queries about its contents.
  • Search Your Documentation: Integrate your project's documentation (from a local directory or Git) for easy searching.
  • Build Custom MCP Servers: Use this project as a template to create your own official MCP servers tailored to specific documentation sets or even codebases.

The content source (documentation or code) can be pre-built into the package during the npm run build step, or configured dynamically at runtime using local directories or Git repositories. By default, when using a gitUrl without enabling auto-updates, the server downloads a .tar.gz archive for faster startup. Full Git cloning is used only when autoUpdateInterval is greater than 0.

Features

  • Powered by Probe: Leverages the Probe search engine for efficient and relevant results.
  • Flexible Content Sources: Include a specific local directory or clone a Git repository.
  • Pre-build Content: Optionally bundle documentation/code content directly into the package.
  • Dynamic Configuration: Configure content sources, Git settings, and MCP tool details via config file, CLI arguments, or environment variables.
  • Automatic Git Updates: Keep content fresh by automatically pulling changes from a Git repository at a configurable interval.
  • Customizable MCP Tool: Define the name and description of the search tool exposed to AI assistants.
  • AI Integration: Seamlessly integrates with AI assistants supporting the Model Context Protocol (MCP).

Usage

The primary way to use this server is via npx, which downloads and runs the package without needing a local installation. This makes it easy to integrate with AI assistants and MCP clients (like IDE extensions).

Installing via Smithery

To install Docs MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @buger/docs-mcp --client claude

Integrating with MCP Clients (e.g., IDEs)

You can configure your MCP client to launch this server using npx. Here are examples of how you might configure a client (syntax may vary based on the specific client):

Example 1: Dynamically Searching a Git Repository (Tyk Docs)

This configuration tells the client to run the latest @buger/docs-mcp package using npx, pointing it dynamically to the Tyk documentation repository. The -y argument automatically confirms the npx installation prompt. The --toolName and --toolDescription arguments customize how the search tool appears to the AI assistant.

{
  "mcpServers": {
    "tyk-docs-search": {
      "command": "npx",
      "args": [
        "-y",
        "@buger/docs-mcp@latest",
        "--gitUrl",
        "https://github.com/TykTechnologies/tyk-docs",
        "--toolName",
        "search_tyk_docs",
        "--toolDescription",
        "Search Tyk API Management Documentation"
      ],
      "enabled": true
    }
  }
}

Alternatively, some clients might allow specifying the full command directly. You could achieve the same as Example 1 using:

npx -y @buger/docs-mcp@latest --gitUrl https://github.com/TykTechnologies/tyk-docs --toolName search_tyk_docs --toolDescription "Search Tyk API Management Documentation"

Example 2: Using a Pre-built, Branded MCP Server (e.g., Tyk Package)

If a team publishes a pre-built package containing specific documentation (like @tyk-technologies/docs-mcp), the configuration becomes simpler as the content source and tool details are baked into that package. The -y argument is still recommended for npx.

{
  "mcpServers": {
    "tyk-official-docs": {
      "command": "npx",
      "args": [
        "-y",
        "@tyk-technologies/docs-mcp@latest"
      ],
      "enabled": true
    }
  }
}

This approach is ideal for distributing standardized search experiences for official documentation or codebases. See the "Creating Your Own Pre-built MCP Server" section below.

Here is example on how Tyk team have build own documentation MCP server https://github.com/TykTechnologies/docs-mcp.

Configuration

Create a docs-mcp.config.json file in the root directory to define the default content source and MCP tool details used during the build and at runtime (unless overridden by CLI arguments or environment variables).

Example 1: Using a Local Directory

{
  "includeDir": "/Users/username/projects/my-project/docs",
  "toolName": "search_my_project_docs",
  "toolDescription": "Search the documentation for My Project.",
  "ignorePatterns": [
    "node_modules",
    ".git",
    "build",
    "*.log"
  ]
}

Example 2: Using a Git Repository

{
  "gitUrl": "https://github.com/your-org/your-codebase.git",
  "gitRef": "develop",
  "autoUpdateInterval": 15,
  "toolName": "search_codebase",
  "toolDescription": "Search the main company codebase.",
  "ignorePatterns": [
    "*.test.js",
    "dist/",
    "__snapshots__"
  ]
}

Configuration Options

  • includeDir: (Build/Runtime) Absolute path to a local directory whose contents will be copied to the data directory during build, or used directly at runtime if dataDir is not specified. Use this OR gitUrl.
  • gitUrl: (Build/Runtime) URL of the Git repository. Use this OR includeDir.
    • If autoUpdateInterval is 0 (default), the server attempts to download a .tar.gz archive directly (currently assumes GitHub URL structure: https://github.com/{owner}/{repo}/archive/{ref}.tar.gz). This is faster but doesn't support updates.
    • If autoUpdateInterval > 0, the server performs a git clone and enables periodic updates.
  • gitRef: (Build/Runtime) The branch, tag, or commit hash to use from the gitUrl (default: main). Used for both tarball download and Git clone/pull.
  • autoUpdateInterval: (Runtime) Interval in minutes to automatically check for Git updates (default: 0, meaning disabled). Setting this to a value > 0 enables Git cloning and periodic git pull operations. Requires the git command to be available in the system path.
  • dataDir: (Runtime) Path to the directory containing the content to be searched at runtime. Overrides content sourced from includeDir or gitUrl defined in the config file or built into the package. Useful for pointing the server to live data without rebuilding.
  • toolName: (Build/Runtime) The name of the MCP tool exposed by the server (default: search_docs). Choose a descriptive name relevant to the content.
  • toolDescription: (Build/Runtime) The description of the MCP tool shown to AI assistants (default: "Search documentation using the probe search engine.").
  • ignorePatterns: (Build/Runtime) An array of glob patterns.
  • enableBuildCleanup: (Build) If true (default), removes common binary/media files (images, videos, archives, etc.) and files larger than 100KB from the data directory after the build step. Set to false to disable this cleanup.
    • If using includeDir during build: Files matching these patterns are excluded when copying to data. .gitignore rules are also respected.
    • If using gitUrl or dataDir at runtime: Files matching these patterns within the data directory are ignored by the search indexer.

Precedence:

  1. Runtime Configuration (Highest): CLI arguments (--dataDir, --gitUrl, etc.) and Environment Variables (DATA_DIR, GIT_URL, etc.) override all other settings. CLI arguments take precedence over Environment Variables.
  2. Build-time Configuration: Settings in docs-mcp.config.json (includeDir, gitUrl, toolName, etc.) define defaults used during npm run build and also serve as runtime defaults if not overridden.
  3. Default Values (Lowest): Internal defaults are used if no configuration is provided (e.g., toolName: 'search_docs', autoUpdateInterval: 5).

Note: If both includeDir and gitUrl are provided in the same configuration source (e.g., both in the config file, or both as CLI args), gitUrl takes precedence.

Creating Your Own Pre-built MCP Server

You can use this project as a template to create and publish your own npm package with documentation or code pre-built into it. This provides a zero-configuration experience for users (like Example 2 above).

  1. Fork/Clone this Repository: Start with this project's code.
  2. Configure docs-mcp.config.json: Define the includeDir or gitUrl pointing to your content source. Set the default toolName and toolDescription.
  3. Update package.json: Change the name (e.g., @my-org/my-docs-mcp), version, description, etc.
  4. Build: Run npm run build. This clones/copies your content into the data directory and makes the package ready.
  5. Publish: Run npm publish (you'll need npm authentication configured).

Now, users can run your specific documentation server easily: npx @my-org/my-docs-mcp@latest.

(The previous "Running", "Dynamic Configuration at Runtime", and "Environment Variables" sections have been removed as npx usage with arguments within client configurations is now the primary documented method.)

Using with AI Assistants

This MCP server exposes a search tool to connected AI assistants via the Model Context Protocol. The tool's name and description are configurable (see Configuration section). It searches the content within the currently active data directory (determined by build settings, config file, CLI args, or environment variables).

Tool Parameters:

  • query: A natural language query or keywords describing what to search for (e.g., "how to configure the gateway", "database connection example", "user authentication"). The server uses Probe's search capabilities to find relevant content. (Required)
  • page: The page number for results when dealing with many matches. Defaults to 1 if omitted. (Optional)

Example Tool Call (using search_tyk_docs from Usage Example 1):

{
  "tool_name": "search_tyk_docs",
  "arguments": {
    "query": "gateway rate limiting",
    "page": 1 // Requesting the first page
  }
}

Example Tool Call (using the tool from the @tyk/docs-mcp package):

Assuming the pre-built package @tyk/docs-mcp defined its tool name as search_tyk_official_docs:

{
  "tool_name": "search_tyk_official_docs",
  "arguments": {
    "query": "dashboard api access",
    "page": 2 // Requesting the second page
  }
}

(The previous "Publishing as an npm Package" section has been replaced by the "Creating Your Own Pre-built MCP Server" section above.)

License

MIT

docs-mcp FAQ

How do I start the docs-mcp server with a GitHub repository?
Run `npx -y @buger/docs-mcp@latest --gitUrl <repo-url>` to launch the server pointing to your GitHub repo.
Can docs-mcp handle private GitHub repositories?
Yes, docs-mcp supports private repositories with proper authentication setup.
What types of data sources can docs-mcp index?
It can index GitHub repositories and local folders containing code and documentation.
How does docs-mcp integrate with AI assistants?
It exposes the repository content as structured context via MCP, enabling AI models to query and chat with the code and docs.
Is docs-mcp limited to any specific programming languages?
No, it works with any codebase or documentation regardless of language.
What underlying technology powers docs-mcp?
docs-mcp is powered by Probe, which enables efficient indexing and querying of code and docs.
Can I use docs-mcp to improve developer onboarding?
Yes, by enabling natural language queries on project docs and code, it simplifies onboarding.
Does docs-mcp support real-time updates from the repository?
It depends on the configuration, but typically it can be set up to refresh its index periodically or on demand.