RLM MCP Server

MCP (Model Context Protocol) server wrapper for RLM (Recursive Language Models).

Note: This is an MCP interface for the RLM library. The core RLM implementation is by Alex Zhang, Tim Kraska, and Omar Khattab at MIT CSAIL. See Acknowledgments for full credits.

RLM enables verified code execution with LLM reasoning - it writes and executes Python code iteratively until producing a verified answer.

Features

• rlm_execute - Execute tasks with Python code and LLM reasoning
• rlm_analyze - Analyze data with code execution
• rlm_code - Generate and test code
• rlm_decompose - Break complex tasks into subtasks
• rlm_status - Check system status

Prerequisites

1. RLM Library

   git clone https://github.com/alexzhang13/rlm.git $HOME/rlm
   cd $HOME/rlm
   pip install -e .
   

2. OpenRouter API Key

   export OPENROUTER_API_KEY="your-key-here"
   

Installation

# Create MCP server directory
mkdir -p $HOME/.claude/mcp-servers/rlm

# Download files
curl -o $HOME/.claude/mcp-servers/rlm/src/server.py \
  https://raw.githubusercontent.com/eesb99/rlm-mcp/main/src/server.py
curl -o $HOME/.claude/mcp-servers/rlm/run_server.sh \
  https://raw.githubusercontent.com/eesb99/rlm-mcp/main/run_server.sh
curl -o $HOME/.claude/mcp-servers/rlm/setup.sh \
  https://raw.githubusercontent.com/eesb99/rlm-mcp/main/setup.sh
curl -o $HOME/.claude/mcp-servers/rlm/requirements.txt \
  https://raw.githubusercontent.com/eesb99/rlm-mcp/main/requirements.txt

# Setup
chmod +x $HOME/.claude/mcp-servers/rlm/*.sh
$HOME/.claude/mcp-servers/rlm/setup.sh

Configuration

Add to $HOME/.mcp.json:

{
  "mcpServers": {
    "rlm": {
      "command": "bash",
      "args": ["/YOUR/HOME/PATH/.claude/mcp-servers/rlm/run_server.sh"]
    }
  }
}

Replace /YOUR/HOME/PATH with your actual home directory (run echo $HOME to find it).

Environment Variables

Variable	Default	Description
OPENROUTER_API_KEY	(required)	OpenRouter API key
RLM_MODEL	openrouter/x-ai/grok-code-fast-1	Root execution model
RLM_SUBTASK_MODEL	openrouter/openai/gpt-4o-mini	Subtask model
RLM_MAX_DEPTH	2	Max recursion depth
RLM_MAX_ITERATIONS	20	Max iterations per task
RLM_LOG_DIR	~/.rlm/logs	Directory for execution logs
RLM_LIB_PATH	$HOME/rlm	Path to RLM library (if not pip installed)

Usage with mcporter

# Install mcporter
npm install -g mcporter

# Check server is available
mcporter list | grep rlm

# Execute a calculation
mcporter call 'rlm.rlm_execute(task: "calculate the first 20 prime numbers")'

# Analyze data
mcporter call 'rlm.rlm_analyze(data: "[1,2,3,4,5]", question: "what is the mean?")'

# Check status
mcporter call 'rlm.rlm_status()'

Security Notice

RLM executes arbitrary Python code by design. Only use with trusted inputs. The code runs in a local Python environment without additional sandboxing.

Acknowledgments

This MCP server is a wrapper for the Recursive Language Models (RLM) library developed by:

• Alex L. Zhang (MIT CSAIL)
• Tim Kraska (MIT CSAIL)
• Omar Khattab (MIT CSAIL)

The RLM concept and implementation are their original work. This repository only provides an MCP interface to make RLM accessible via the Model Context Protocol.

Citation:

@article{zhang2025rlm,
  title={Recursive Language Models},
  author={Zhang, Alex L. and Kraska, Tim and Khattab, Omar},
  journal={arXiv preprint arXiv:2512.24601},
  year={2025}
}

References

• Paper: Recursive Language Models (Zhang, Kraska, Khattab 2025)
• RLM Library: github.com/alexzhang13/rlm
• MCP SDK: modelcontextprotocol.io
• mcporter: mcporter.dev

License

MIT License - see LICENSE