Leeroopedia MCP Server

Give your AI coding agent access to best-practices of ML and AI.

$20 free credit on sign-up : that's plenty of searches, plans, and diagnoses. Skip the guesswork on your next fine-tuning run or inference deployment. No credit card required. Get your API key →

What is Leeroopedia?

Your ML & AI Knowledge Wiki. Learnt by AI, built by AI, for AI.

Expert-level knowledge across the full ML & AI stack, from fine-tuning and distributed training, to inference serving and GPU kernel optimization, to building agents and RAG pipelines. 1000+ frameworks and libraries, all in one place.

This MCP server turns your AI coding agent (Claude Code, Cursor, OpenAI Codex, ...) into an ML/AI expert engineer.

Browse the full knowledge base at leeroopedia.com.

Want to go end-to-end?

Leeroopedia gives your agent the knowledge. Kapso gives it the ability to act on it : research, experiment, and deploy. Together: a complete ML/AI engineer agent.

Benchmarks

We measured the effect of Leeroopedia MCP on real ML tasks built by Claude Code.

• ML Inference Optimization: Write CUDA/Triton kernels for 10 KernelBench problems. 2.11x geomean speedup vs 1.80x (+17%), with/without Leeroopedia MCP. → results

• LLM Post-Training: End-to-end SFT + DPO + LoRA merge + vLLM serving + IFEval on 8×A100. 21.3 vs 18.5 IFEval strict-prompt accuracy, 34.6 vs 30.9 strict-instruction accuracy, 272.7 vs 231.6 throughput. → results

  

• Self-Evolving RAG: Build a RAG service that automatically improves itself over multiple rounds. 45.16 vs 40.51 Precision@5, 40.32 vs 35.29 Recall@5, in 52 vs 62 min wall time. → results

  

• Customer Support Agent: Multi-agent triage system classifying 200 tickets into 27 intents. 98 vs 83 benchmark performance, 11s vs 61s per query. → results

  

Quick Start

1. Get Your API Key

1. Go to app.leeroopedia.com
2. Create an account or log in
3. Navigate to Dashboard > API Keys
4. Copy your API key (format: kpsk_...)

2. Use the hosted server (no installation needed)

Just paste this URL into any MCP client that supports remote servers:

https://mcp.leeroopedia.com/mcp?token=kpsk_your_key_here

See the connect guides for all IDEs, running locally, and troubleshooting.

3. Configure Claude Code

Remote (no install):

claude mcp add --transport http leeroopedia "https://mcp.leeroopedia.com/mcp?token=kpsk_your_key_here"

Local (via uvx):

Add to your ~/.claude.json or project .mcp.json:

{
  "mcpServers": {
    "leeroopedia": {
      "command": "uvx",
      "args": ["leeroopedia-mcp"],
      "env": {
        "LEEROOPEDIA_API_KEY": "kpsk_your_key_here"
      }
    }
  }
}

Getting spawn uvx ENOENT? Your IDE can't find uvx in its PATH. Run which uvx (or where uvx on Windows) in your terminal to get the full path, then use it in your config:

"command": "/home/username/.local/bin/uvx"

Common locations: ~/.local/bin/uvx (Linux), ~/.local/bin/uvx (macOS curl install), /opt/homebrew/bin/uvx (macOS Homebrew).

4. Configure Cursor

Remote (no install):

Add to your Cursor settings (.cursor/mcp.json):

{
  "mcpServers": {
    "leeroopedia": {
      "url": "https://mcp.leeroopedia.com/mcp?token=kpsk_your_key_here"
    }
  }
}

Local (via uvx):

{
  "mcpServers": {
    "leeroopedia": {
      "command": "uvx",
      "args": ["leeroopedia-mcp"],
      "env": {
        "LEEROOPEDIA_API_KEY": "kpsk_your_key_here"
      }
    }
  }
}

Getting spawn uvx ENOENT? See the tip in Configure Claude Code above.

5. Configure OpenAI Codex

Run the CLI command:

codex mcp add leeroopedia --env LEEROOPEDIA_API_KEY=kpsk_your_key_here -- uvx leeroopedia-mcp

Or add to your ~/.codex/config.toml:

[mcp_servers.leeroopedia]
command = "uvx"
args = ["leeroopedia-mcp"]

[mcp_servers.leeroopedia.env]
LEEROOPEDIA_API_KEY = "kpsk_your_key_here"

Getting spawn uvx ENOENT? See the tip in Configure Claude Code above.

6. Optional: Add the Agent Skill File

For coding agents that support project-level instruction files (Claude Code, Cursor, Codex), you can add an optional skill file that teaches the agent when and how to pick the right Leeroopedia tool for each situation. This improves tool selection, encourages parallel searches, and provides canonical workflows for common tasks like "How do I implement X?" or "My run crashed".

Download SKILL.md and place it in the appropriate location for your agent:

This step is optional. The MCP tools work without the skill file. The skill file just helps the agent make better tool choices automatically.

Documentation

docs.leeroopedia.com — full setup guides, environment variables, troubleshooting, connect guides for every IDE, and detailed tool usage.

Contributing

We welcome contributions! Please see our Contributing Guide for details on how to get started.

This project follows our Code of Conduct.

License

This project is licensed under the MIT License.