genlayer-docs-mcp 0.1.1

Model Context Protocol (MCP) server for GenLayer documentation

GenLayer Documentation MCP Server

A standardized, shareable Model Context Protocol (MCP) server that packages and exposes the GenLayer documentation (genlayer-docs.txt) to any AI assistant (including Claude Desktop, Cursor, Windsurf, Gemini, and others).

By packaging this as a Python project with a pyproject.toml and utilizing the official mcp SDK, anyone can run it with a standard Python install — no manual file paths or dependency wrangling.

Available Tools

Once registered, the server exposes the following tools:

1. search_docs(query: string, top_k: int = 5): Search the GenLayer documentation for relevant sections matching a query. Returns top matching sections along with their hierarchical title breadcrumbs (e.g., What is GenLayer > Core Technology > On-Chain AI Processing) and starting line numbers.

2. get_section(title: string): Retrieve the full content of a specific documentation section matching the specified heading title.

3. list_sections(): List all headings and subheadings present in the GenLayer documentation along with their starting line numbers.

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Quick Start (Recommended)

This is the setup verified to work with a standard Python installation on Windows, macOS, and Linux.

1. Install the package

From PyPI:

pip install genlayer-docs-mcp

Or from source (after cloning this repo):

pip install .

2. Register it with your AI client

Add the server inside the mcpServers block of your client's MCP config (Claude Desktop on Windows: %APPDATA%\Claude\claude_desktop_config.json):

{
  "mcpServers": {
    "genlayer-docs": {
      "command": "python",
      "args": [
        "-m",
        "genlayer_docs_mcp"
      ]
    }
  }
}

Why python -m? It uses the Python interpreter already on your PATH, so there is nothing extra to install (unlike uvx, which requires uv to be installed first). Restart your client after saving, and the three tools above will appear.

For Cursor / Windsurf, use the same values in the editor's MCP settings:

• Type: command
• Command: python
• Args: -m genlayer_docs_mcp

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Alternative: Zero-install with uvx

If you have uv installed, you can run the server without installing it first. Anyone in the world can use this on any AI client with zero local files:

{
  "mcpServers": {
    "genlayer-docs": {
      "command": "uvx",
      "args": ["genlayer-docs-mcp"]
    }
  }
}

Cursor / Windsurf command: uvx genlayer-docs-mcp

Requires uv/uvx on your PATH. Install it with winget install astral-sh.uv (Windows) or see the uv install guide.

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Alternative: Install directly from GitHub (no PyPI needed)

To track the latest source, install straight from the public repository:

• Using pip:

  pip install "git+https://github.com/Laegend14/Genlayer-mcp"
  

• Using uvx (zero-install):

  {
    "mcpServers": {
      "genlayer-docs": {
        "command": "uvx",
        "args": [
          "--from",
          "git+https://github.com/Laegend14/Genlayer-mcp",
          "genlayer-docs-mcp"
        ]
      }
    }
  }
  

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Alternative: Global install via pipx

Users who prefer an isolated global install can use pipx:

# From PyPI
pipx install genlayer-docs-mcp

# Or from GitHub
pipx install "git+https://github.com/Laegend14/Genlayer-mcp"

Then configure the command in any AI client as:

• Command: genlayer-docs-mcp (no arguments required)

Note: this requires the pipx scripts directory to be on your PATH (pipx ensurepath). If your client can't find the genlayer-docs-mcp executable, use the Quick Start python -m method instead.

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Development

Clone the repo and install in editable mode:

git clone https://github.com/Laegend14/Genlayer-mcp
cd Genlayer-mcp
pip install -e .

Run the server directly to confirm it loads the documentation:

python -m genlayer_docs_mcp

You should see a log line reporting the number of parsed documentation sections.