Nf-core tools MCP (Unofficial)

Name: Nf-core tools MCP (Unofficial)
Author: FloWuenne

@FloWuenne

代码仓库

关于 Nf-core tools MCP (Unofficial)

Unofficial MCP server for nf-core tools.

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

FloWuenne

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-nf-core": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

工具

未检测到工具

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 Nf-core tools MCP (Unofficial)?

This is an experimental MCP (Model Context Protocol) server that provides programmatic access to key nf-core tools functions. It allows users to create pipelines, list and create modules, and install existing modules—all through MCP-compatible clients like Claude Desktop or Cursor. It is designed for nf-core developers and bioinformaticians who want to integrate nf-core workflows into AI-assisted environments.

How to use Nf-core tools MCP (Unofficial)?

Installation requires Claude Desktop or Cursor, Uv, and nf-core tools. Create a virtual environment with uv venv, activate it, then add packages with uv add "mcp[cli]" nf-core. Finally, install one of the two server files using fastmcp install nf-core.test-server.cli.py (CLI-based) or fastmcp install nf-core.test-server.python.py (Python-based). To add the server to Cursor, configure a JSON entry pointing to the repo directory with uv run server.py.

Key features of Nf-core tools MCP (Unofficial)

Create a pipeline using the nf-core template
List available nf-core modules
Create a module using the nf-core modules template
Install existing nf-core modules into a pipeline or modules repo
Two implementations: CLI-based and Python-based
Integrates with Claude Desktop and Cursor via MCP

Use cases of Nf-core tools MCP (Unofficial)

Bootstrapping a new nf-core pipeline without leaving an MCP client
Browsing the nf-core modules registry and installing modules into an existing pipeline
Automating module creation during pipeline development workflows
Experimenting with MCP capabilities for nf-core tooling in AI-assisted environments

FAQ from Nf-core tools MCP (Unofficial)

What does Nf-core tools MCP (Unofficial) do?

It provides MCP-compatible tools that wrap nf-core command-line functions, enabling users to create pipelines, list and create modules, and install modules directly from MCP clients.

What are the prerequisites for using this server?

You need Claude Desktop or Cursor, Uv, and nf-core tools installed on your system.

How do I install the server?

Create a virtual environment with uv venv, activate it, add the required packages (uv add "mcp[cli]" nf-core), then run fastmcp install with either the CLI or Python server file.

What are the two server implementations?

The CLI-based server (nf-core.test-server.cli.py) calls nf-core commands via subprocess, while the Python-based server (nf-core.test-server.python.py) uses the nf-core Python package directly. Both provide identical tools.