Skip to main content

Natural language interface for scRNA-Seq analysis with Scanpy through MCP.

Project description

Scanpy-MCP

Natural language interface for scRNA-Seq analysis with Scanpy through MCP.

🪩 What can it do?

  • IO module like read and write scRNA-Seq data
  • 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

❓ 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 scanpy-mcp 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 scanpy-mcp

https://github.com/user-attachments/assets/93a8fcd8-aa38-4875-a147-a5eeff22a559

🏎️ Quickstart

Install

Install from PyPI

pip install scanpy-mcp

you can test it by running

scanpy-mcp run

run scnapy-server locally

Refer to the following configuration in your MCP client:

"mcpServers": {
  "scanpy-mcp": {
    "command": "scanpy-mcp",
    "args": [
      "run"
    ]
  }
}

run scnapy-server remotely

Refer to the following configuration in your MCP client:

run it in your server

scanpy-mcp run --transport shttp --port 8000

Then configure your MCP client, like this:

http://localhost:8000/mcp

🤝 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!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scanpy_mcp-0.2.2.tar.gz (7.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

scanpy_mcp-0.2.2-py3-none-any.whl (34.4 kB view details)

Uploaded Python 3

File details

Details for the file scanpy_mcp-0.2.2.tar.gz.

File metadata

  • Download URL: scanpy_mcp-0.2.2.tar.gz
  • Upload date:
  • Size: 7.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for scanpy_mcp-0.2.2.tar.gz
Algorithm Hash digest
SHA256 02cd9b8e449d1a696c14051b05f32ef08f535aef4eeeda246d9cf6b65668b34b
MD5 81e3129fa441bcc6d459a61e57a0e14a
BLAKE2b-256 b123f01801a5f3de9d7549cfcd49936d27b161f7fc5bdcf1deb7b27dc29fbe5a

See more details on using hashes here.

Provenance

The following attestation bundles were made for scanpy_mcp-0.2.2.tar.gz:

Publisher: publish.yml on scmcphub/scanpy-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file scanpy_mcp-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: scanpy_mcp-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 34.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for scanpy_mcp-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 3bf8ee0e69c2bfd6fab9dcbb79f647b75f83a63487c207ca09eea6f263b20b5f
MD5 1c2f5394262a34c9cd7cfab73be63198
BLAKE2b-256 aea3d3652260c43f3acf80b74b420c9cdc53a33b41eab53cefeab9d1ccdc0370

See more details on using hashes here.

Provenance

The following attestation bundles were made for scanpy_mcp-0.2.2-py3-none-any.whl:

Publisher: publish.yml on scmcphub/scanpy-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page