Skip to main content

An MCP server for scRNA-Seq analysis with natural language!

Project description

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

❓ 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!

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

scmcp-0.1.0.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.

scmcp-0.1.0-py3-none-any.whl (37.2 kB view details)

Uploaded Python 3

File details

Details for the file scmcp-0.1.0.tar.gz.

File metadata

  • Download URL: scmcp-0.1.0.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 scmcp-0.1.0.tar.gz
Algorithm Hash digest
SHA256 beb7883ca66c96fd0002db6973cc3a83130c38dafd296dd49685833da523605e
MD5 e3a76cc213b8159649b9968b1df83f9d
BLAKE2b-256 92fb6ef6079b5632f1fc2d3626bbff95426208687eb28b951f142ed41394937c

See more details on using hashes here.

Provenance

The following attestation bundles were made for scmcp-0.1.0.tar.gz:

Publisher: publish.yml on huang-sh/scmcp

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

File details

Details for the file scmcp-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: scmcp-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 37.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for scmcp-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 102c2c5ebd7cbbdb0d69d5b0e06be58e4f6ee6cb49231c004d1af5bae2a57325
MD5 9514a30fc7719ce326a4fa259f3f46f4
BLAKE2b-256 89a423c374bae21579f5dcb643b4d92a64354dab5819b620d4cadc2d86dfbb59

See more details on using hashes here.

Provenance

The following attestation bundles were made for scmcp-0.1.0-py3-none-any.whl:

Publisher: publish.yml on huang-sh/scmcp

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