What can Liana-MCP do?
It provides an IO module, cell-cell communication methods, and a plotting module (circle plot, dotplot) for scRNA-Seq analysis, all accessible via natural language through MCP.
@scmcphub
基本情報
MCP server for cell–cell communication using liana
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Liana-MCP is a natural language interface for single-cell RNA-Seq (scRNA-Seq) analysis that uses the Model Context Protocol (MCP) to connect with the Liana analysis library. It is designed for researchers and developers who want to perform scRNA-Seq tasks—such as reading/writing data, cell-cell communication inference, and plotting—using natural language commands within MCP-compatible clients.
Install via pip: pip install Liana-mcp. Run locally with liana-mcp run and configure your MCP client with "command": "liana-mcp", "args": ["run"]. For remote access, run Liana-mcp run --transport shttp --port 8000 and set the client URL to http://localhost:8000/mcp.
It provides an IO module, cell-cell communication methods, and a plotting module (circle plot, dotplot) for scRNA-Seq analysis, all accessible via natural language through MCP.
It is for anyone wanting to do scRNA-Seq analysis in natural language, and for agent developers who want to call Liana’s functions from their applications.
It can be used in MCP-compatible AI clients (e.g., Cherry Studio), plugins (e.g., Cline), and agent frameworks (e.g., Agno).
Install from PyPI: `pip install Liana-mcp`. Then run `liana-mcp run` to start the local server, and configure your MCP client with the appropriate command and arguments.
Use the command `Liana-mcp run --transport shttp --port 8000` on your server, then set your MCP client’s server URL to `http://localhost:8000/mcp`.
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