rlm-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@rlm-mcpcalculate the first 10 Fibonacci numbers"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: long-context-mcp
Prerequisites
RLM Library
git clone https://github.com/alexzhang13/rlm.git $HOME/rlm cd $HOME/rlm pip install -e .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.shConfiguration
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 |
| (required) | OpenRouter API key |
|
| Root execution model |
|
| Subtask model |
|
| Max recursion depth |
|
| Max iterations per task |
|
| Directory for execution logs |
|
| 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
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