What are the requirements for llm-mcp?
Requires LLM version 0.26 or higher and Python 3.10+.
@genomoncology
Basic information
llm plugin of MCP for clients and servers.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"llm-mcp": {
"command": "uv",
"args": [
"tool",
"install",
"llm"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
--td flag.Requires LLM version 0.26 or higher and Python 3.10+.
It supports stdio and HTTP servers for MCP connections.
The README warns that tools can be dangerous; care is needed when enabling tools with untrusted content.
Use `llm mcp servers add <url>` for remote servers or `llm mcp servers add "npx ..."` for local servers.
Yes, use the `--td` flag with your LLM command to see tool calls in debug mode.
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