What can SCMCP do?
It provides natural‑language‑driven access to scanpy functions for scRNA‑Seq analysis, including reading/writing data, preprocessing, clustering, differential expression, plotting, and cell‑cell communication analysis.
@huang-sh
基本情報
MCP server for single cell analysis
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SCMCP is an MCP server that enables scRNA‑Seq analysis through natural language commands. It wraps common scanpy functions, providing modules for IO, preprocessing, clustering, differential expression, plotting, and cell‑cell communication analysis.
Install with pip install scmcp. Run locally using scmcp run and configure your MCP client with the command scmcp run. For remote access, run scmcp run --transport sse --port 8000 and connect to http://localhost:8000/sse.
It provides natural‑language‑driven access to scanpy functions for scRNA‑Seq analysis, including reading/writing data, preprocessing, clustering, differential expression, plotting, and cell‑cell communication analysis.
Anyone who wants to do scRNA‑Seq analysis with natural language, and agent developers who need to call scanpy functions from their applications.
In any AI client, plugin, or agent framework that supports MCP, such as Cherry Studio, Cline, or Agno.
Install from PyPI with `pip install scmcp`, then run `scmcp run` locally. For remote use, run `scmcp run --transport sse --port 8000` and connect via the SSE endpoint.
Local (stdio) via `scmcp run` and remote SSE via `scmcp run --transport sse --port 8000`.

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