llm-mcp
About
llm-mcp is an LLM plugin that adds Model Context Protocol (MCP) support, enabling LLMs to use tools from any MCP server. It integrates with the LLM command-line tool and is designed for users who want to extend their LLMs with external tools via MCP.
Details
- License
- MIT license
Explore
- Add remote and local MCP servers.
- List, view, and remove MCP servers.
- Convert MCP tools to LLM tools.
- Support for stdio and HTTP servers.
- Debug mode with the --td flag.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
llm-mcpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install LLM 0.26+ and the plugin with llm install llm-mcp. Then add MCP servers using llm mcp servers add <url> (remote) or llm mcp servers add "npx ..." (local). Added tools become available via the -T flag when running LLM models.
Once a server is added, its tools become available to use with any LLM model:
```bash
llm -T read_file "What is the secret word in secret.txt?"
llm -T search_llm_documentation -T fetch_generic_url_content \
"Find docs for how to specify a schema in llm project"
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"llm-mcp": {
"llm-mcp": {
"command": "uv",
"args": [
"tool",
"install",
"llm"
]
}
}
}
}McpServers
{
"llm-mcp": {
"command": "uv",
"args": [
"tool",
"install",
"llm"
]
}
}
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+:
```bash
uv tool install llm
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