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nf-core MCP Server

by wjlim

nf-core MCP Server

An MCP server for managing and navigating nf-core pipeline repositories.

Features

  • List local nf-core repositories (rnaseq, sarek, modules, tools)
  • Access pipeline configurations and workflows
  • Search through pipeline files
  • Explore pipeline modules

Installation

NPM Version

cd nf-core_mcp npm install # Build TypeScript npm run build # Start the server npm start

Docker Version

# Build the Docker image cd nf-core_mcp docker build -t nf-core-mcp . # Run the container docker run -i --rm \ -v "/path/to/your/workspace:/app/workspace" \ nf-core-mcp

Adding nf-core Repositories

To add new nf-core pipeline repositories to the workspace:

  1. Clone the repositories:
    # Navigate to your workspace directory (example for Windows) cd /path/to/your/workspace # Clone desired nf-core repositories git clone https://github.com/nf-core/rnaseq.git git clone https://github.com/nf-core/sarek.git git clone https://github.com/nf-core/modules.git # Add any other nf-core pipeline you want to manage
  2. Directory Structure: Your workspace should look like this:
    workspace/ ├── rnaseq/ ├── sarek/ ├── modules/ └── your-new-pipeline/
  3. Verify Installation: After starting the MCP server, use the list-pipelines command to verify that your new pipelines are detected:
    list-pipelines

Note: The MCP server will automatically detect and manage any nf-core pipeline repositories in your workspace directory.

Available Tools

  1. list-pipelines
    • Lists all nf-core pipelines in the workspace
    • Shows configuration file status
    • No parameters required
  2. get-pipeline-modules
    • Gets module information from a pipeline
    • Parameters:
      • pipeline: Pipeline name (rnaseq, sarek, or modules)
  3. search-pipelines
    • Searches through pipeline files
    • Parameters:
      • query: Search query
      • pipeline (optional): Specific pipeline to search

Available Resources

  1. pipeline-config
    • Gets pipeline configuration
    • URI format: pipeline://{name}/config
    • Parameters:
      • name: Pipeline name (rnaseq, sarek, or modules)
  2. pipeline-workflow
    • Gets pipeline workflow
    • URI format: pipeline://{name}/workflow
    • Parameters:
      • name: Pipeline name (rnaseq, sarek, or modules)

Usage with Cursor IDE

Add the following to your mcp.json:

{ "mcpServers": { "nf-core": { "command": "npx", "args": ["-y", "nf-core-mcp"] } } }

Using Docker

Add the following to your mcp.json:

{ "mcpServers": { "nf-core": { "command": "docker", "args": [ "run", "-i", "--rm", "-v", "/path/to/your/workspace:/app/workspace", "nf-core-mcp" ] } } }

Example Usage

Using the MCP server in Cursor:

# List available pipelines list-pipelines # Get modules from rnaseq pipeline get-pipeline-modules pipeline=rnaseq # Search in all pipelines search-pipelines query="fastqc" # Search in specific pipeline search-pipelines query="fastqc" pipeline=rnaseq # Access pipeline configuration pipeline://rnaseq/config # Access workflow pipeline://rnaseq/workflow

Running the Server

Using NPM

# If installed globally nf-core-mcp # If installed locally npx nf-core-mcp # Using npx without installation npx -y nf-core-mcp

Using Docker

docker run -it --rm \ -v /path/to/your/workspace:/app/workspace \ nf-core-mcp

Development

# Install dependencies npm install # Build TypeScript npm run build # Run in development mode npm run dev # Run tests npm test # Run linter npm run lint

License

MIT

-
security - not tested
-
license - not tested
-
quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

Enables users to manage and navigate nf-core bioinformatics pipeline repositories, allowing list, search, and explore operations on pipeline configurations, workflows, and modules.

  1. Features
    1. Installation
      1. NPM Version
      2. Docker Version
    2. Adding nf-core Repositories
      1. Available Tools
        1. Available Resources
          1. Usage with Cursor IDE
            1. Using NPX (Recommended)
            2. Using Docker
          2. Example Usage
            1. Running the Server
              1. Using NPM
              2. Using Docker
            2. Development
              1. License

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