iflow-mcp_scmcp

> ⚠️ **Important Notice**: This repository is no longer maintained. Please visit [SCMCPHub](https://github.com/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(hsh-me@outlook.com). Contributions to the code are also welcome!