iflow-mcp_huang-sh-scmcp 0.1.3

An MCP server for scRNA-Seq analysis with natural language!

⚠️ Important Notice: This repository is no longer maintained. Please visit SCMCPHub for the latest version of MCP servers.

SCMCP

An MCP server for scRNA-Seq analysis with natural language!

🪩 What can it do?

• IO module like read and write scRNA-Seq data with natural language
• Preprocessing module,like filtering, quality control, normalization, scaling, highly-variable genes, PCA, Neighbors,...
• Tool module, like clustering, differential expression etc.
• Plotting module, like violin, heatmap, dotplot
• cell-cell communication analysis

❓ Who is this for?

• Anyone who wants to do scRNA-Seq analysis natural language!
• Agent developers who want to call scanpy's functions for their applications

🌐 Where to use it?

You can use scmcp in most AI clients, plugins, or agent frameworks that support the MCP:

• AI clients, like Cherry Studio
• Plugins, like Cline
• Agent frameworks, like Agno

🎬 Demo

A demo showing scRNA-Seq cell cluster analysis in a AI client Cherry Studio using natural language based on scmcp

https://github.com/user-attachments/assets/93a8fcd8-aa38-4875-a147-a5eeff22a559

🏎️ Quickstart

Install

Install from PyPI

pip install scmcp

you can test it by running

scmcp run

run scnapy-server locally

Refer to the following configuration in your MCP client:

"mcpServers": {
  "scmcp": {
    "command": "scmcp",
    "args": [
      "run"
    ]
  }
}

run scnapy-server remotely

Refer to the following configuration in your MCP client:

run it in your server

scmcp run --transport sse --port 8000

Then configure your MCP client, like this:

http://localhost:8000/sse

🤝 Contributing

If you have any questions, welcome to submit an issue, or contact me([e-mail]). Contributions to the code are also welcome!