mcpField
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llm-mcp

llm-mcp

Local
github.com/genomoncologyAI & Agents4Updated 73w ago
Repository

About llm-mcp

llm-mcp is an MCP plugin for the LLM command-line tool, enabling models to use tools from MCP servers. It manages server connections and makes their tools available for LLM calls.

Key features

  1. 01Add remote and local MCP servers
  2. 02List, inspect, and remove servers
  3. 03Convert MCP tools to LLM tools
  4. 04Support STDIO and HTTP servers

Use cases

  1. 01Call MCP tools from LLM
  2. 02Manage local or remote server configurations
  3. 03Combine multiple tools for a task

MCP support

The plugin lets LLM connect to and manage MCP servers, making their tools available as callable LLM tools. The README describes support for STDIO and HTTP servers.

#llm-mcp#plugin#mcp

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

llm-mcp

Release Build status

LLM plugin for Model Context Protocol (MCP) support, enabling LLMs to use tools from any MCP server.

Requirements

  • LLM version 0.26 or higher (for tool support)
  • Python 3.10+

Installation

First, install or upgrade LLM to version 0.26+:

uv tool install llm
# or upgrade if you have it already
uv tool upgrade llm

Then install the plugin:

llm install llm-mcp

Basic Usage

Adding MCP Servers

Add a remote MCP server:

llm mcp servers add "https://gitmcp.io/simonw/llm"
✔ added server 'gitmcp_llm' with 4 tools

Add a local MCP server via npx:

llm mcp servers add "npx @wonderwhy-er/desktop-commander"
✔ added server 'desktop_commander' with 18 tools
Managing Servers

List servers:

llm mcp servers list

View server details:

llm mcp servers view gitmcp_llm

Remove a server:

llm mcp servers remove gitmcp_llm
Using Tools

Once a server is added, its tools become available to use with any LLM model:

# Use a single tool
llm -T read_file "What is the secret word in secret.txt?"

# Use multiple tools
llm -T search_llm_documentation -T fetch_generic_url_content \
  "Find docs for how to specify a schema in llm project"

# Debug mode to see tool calls
llm -T tool_name "your prompt" --td

Roadmap to v0.1

  • ✅ v0.0.2 - Basic MCP server management and tool usage

    • llm mcp servers for add, list, view
    • Convert MCP tools to LLM tools
    • Support for stdio and HTTP servers

  • 🚧 v0.1.0 - Advanced features

    • Remote server authentication (tokens, OAuth)
    • llm mcp toolboxes - create and manage tool collections
    • Support vanilla Python functions as tools
    • llm mcp proxy - start MCP proxy server for toolboxes
    • Proxy authentication

Resources

Safety Warning

⚠️ Tools can be dangerous! Be careful about which tools you enable when working with untrusted content. See the LLM tools documentation for important security considerations.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.