LLMMCP

Provides up-to-date MCP data from OpenAI, Anthropic, and Google with real-time parameter details and docs.

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4 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "zero-abd-llmmcp": {
      "command": "npx",
      "args": [
        "-y",
        "llmmcp@latest"
      ]
    }
  }
}

llmmcp is a Model Context Protocol (MCP) server that provides real-time, up-to-date documentation for major LLM providers. It helps your AI agents rely on current official docs rather than stale training data or deprecated patterns, ensuring accurate model information, API parameters, and implementation guidance.

How to use

Use llmmcp by connecting your MCP client to the provided CLI endpoint. You can run the server on demand and have your client query for up-to-date model details, tool usage parameters, and current provider listings.

How to install

Prerequisites: ensure you have Node.js and npm installed on your system.

Run the following command to start using llmmcp without local installation. This uses a lightweight, on-demand approach so you can begin querying immediately.

# Start the MCP server using npx
npx -y llmmcp@latest

Configuration and usage notes

To integrate with clients like Cursor or Claude Desktop, use the standard MCP server connection pattern shown below. Adjust the integration for your tool as needed.

Example client configuration for Claude Desktop (JSON snippet):

{
  "mcpServers": {
    "llmmcp": {
      "command": "npx",
      "args": ["-y", "llmmcp@latest"]
    }
  }
}

Notes on hosting and self-hosting

llmmcp can be used as a ready-to-run MCP server from the command line, enabling you to pull real-time provider information and documentation through your MCP client. If you choose to self-host, you would typically align with your environment’s deployment pattern and security practices while using the same command as shown above.

Tools and capabilities

llmmcp exposes tools that help you access up-to-date documentation and provider information.

Available tools

search_docs

Search the latest official documentation to retrieve specific technical details such as tool usage parameters, context sizes, and rate limits.

list_providers

Return a dynamically updated list of available providers (OpenAI, Anthropic, Google) and their currently promoted models.