wjlim nf core mcp

wjlim nf core mcp avatar

by wjlim

Dev assistant MCP

What is wjlim nf core mcp

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

Using NPX (Recommended)

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

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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