genlayer-docs-mcp 0.1.0

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 instantly with zero manual file path or dependency setup.

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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Universal Running & Setup Options

You can run this server using standard Python tools. We recommend using uv (a fast Python package manager) for a zero-install experience, or standard pip/pipx.

Option A: Running Locally (For Development)

If you have cloned or downloaded this directory locally to c:\Users\MueAb\Desktop\Genlayer mcp:

1. Claude Desktop Setup

Open your Claude configuration file (on Windows: %APPDATA%\Claude\claude_desktop_config.json) and add the server inside the mcpServers block:

• Using uvx (Easiest, zero-install):

  {
    "mcpServers": {
      "genlayer-docs": {
        "command": "uvx",
        "args": [
          "--from",
          "c:\\Users\\MueAb\\Desktop\\Genlayer mcp",
          "genlayer-docs-mcp"
        ]
      }
    }
  }
  

• Using installed python package: If you have installed the package via pip install -e . (or pip install .):

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

2. Cursor IDE / Windsurf Setup

Register the server in your editor's MCP settings:

• Type: command
• Command: uvx --from "c:\Users\MueAb\Desktop\Genlayer mcp" genlayer-docs-mcp

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Option B: Publishing & Distributing to PyPI (For Everyone)

If you publish this package to PyPI (e.g., under the name genlayer-docs-mcp), anyone in the world can use it on any AI client instantly with zero local files!

1. Claude Desktop Setup

Any user can simply add this to their claude_desktop_config.json:

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

2. Cursor IDE / Windsurf Setup

• Type: command
• Command: uvx genlayer-docs-mcp

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Option B2: Install directly from GitHub (no PyPI needed)

If you prefer not to wait for PyPI, or want to track the latest source, any user can run the server straight from the public GitHub repository:

• Using uvx (zero-install):

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

• Using pip:

  pip install "git+https://github.com/genlayerlabs/genlayer-docs-mcp"
  

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Option C: Installation via pipx or pip

Users who prefer not to use uvx can install the server globally using pipx:

# Install globally from PyPI
pipx install genlayer-docs-mcp

# Or install globally from GitHub
pipx install "git+https://github.com/genlayerlabs/genlayer-docs-mcp"

Then configure the command in any AI client as:

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