⚠️ Important Notice: This repository is no longer maintained. Please visit SCMCPHub for the latest version of MCP servers.
An MCP server for scRNA-Seq analysis with natural language!
- 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
- Anyone who wants to do scRNA-Seq analysis natural language!
- Agent developers who want to call scanpy's functions for their applications
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
A demo showing scRNA-Seq cell cluster analysis in a AI client Cherry Studio using natural language based on scmcp
Scanpy-mcp.demo.mp4
Install from PyPI
pip install scmcp
you can test it by running
scmcp run
Refer to the following configuration in your MCP client:
"mcpServers": {
"scmcp": {
"command": "scmcp",
"args": [
"run"
]
}
}
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
If you have any questions, welcome to submit an issue, or contact me(