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Cellrank MCP Server

@scmcphub

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scmcphub

关于 Cellrank MCP Server

MCP server for trajectory inference using cellrank

Cellrank MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

Cellrank MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is cellrank-MCP?

cellrank-MCP is a natural language interface for scRNA-Seq analysis that exposes cellrank functions through the Model Context Protocol. It is designed for researchers and agent developers who want to perform single-cell RNA sequencing workflows using conversational AI clients or agentic frameworks.

How to use cellrank-MCP?

Install via pip (pip install cellrank-mcp), then run locally with the command cellrank-mcp run. To use it in an MCP client, configure the server with the full path to the binary and the run argument. For remote usage, start the server with cellrank-mcp run --transport shttp --port 8000 and set the client’s URL to http://localhost:8000/mcp.

Key features of cellrank-MCP

  • Natural‑language interface for scRNA-Seq analysis.
  • IO module for reading and writing scRNA‑Seq data.
  • Preprocessing functions: filtering, QC, normalization, scaling, HVG selection, PCA, neighbors.
  • Tool module: clustering, differential expression analysis, and more.
  • Plotting module: violin plots, heatmaps, dot plots.

Use cases of cellrank-MCP

  • Perform complete scRNA‑Seq analysis pipelines using only natural language in an AI client.
  • Integrate cellrank capabilities into agentic frameworks (e.g., Agno) for automated data processing.
  • Add single‑cell analysis features to plugins like Cline.
  • Use Cherry Studio to interactively explore cell cluster results.

常见问题

1

What analysis modules are available?

cellrank-MCP covers IO, preprocessing (filtering, QC, normalization, scaling, HVG, PCA, neighbors), tools (clustering, differential expression), and plotting (violin, heatmap, dotplot).

2

Who should use cellrank-MCP?

Anyone who wants to perform scRNA-Seq analysis through natural language, as well as agent developers who need to call cellrank functions programmatically.

3

How do I install and run cellrank-MCP?

Install it from PyPI with `pip install cellrank-mcp`. Verify the installation with `cellrank-mcp run`, then configure your MCP client with the command and the `run` argument.

4

Can I run cellrank-MCP on a remote server?

Yes. Start the server with `cellrank-mcp run --transport shttp --port 8000` and set your client’s URL to `http://localhost:8000/mcp`.

5

What types of MCP clients are supported?

cellrank-MCP works with any MCP‑compatible client, including Cherry Studio (AI client), Cline (plugin), and Agno (agent framework).

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