Allows installation of the scmcp package directly from PyPI using pip, making it easy to set up the MCP server for scRNA-Seq analysis.
⚠️ Important Notice: This repository is no longer maintained.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
you can test it by running
run scnapy-server locally
Refer to the following configuration in your MCP client:
run scnapy-server remotely
Refer to the following configuration in your MCP client:
run it in your server
Then configure your MCP client, like this:
🤝 Contributing
If you have any questions, welcome to submit an issue, or contact me(hsh-me@outlook.com). Contributions to the code are also welcome!
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hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
An MCP server that enables single-cell RNA sequencing analysis through natural language, supporting data processing, visualization, and analysis tasks without requiring coding knowledge.
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