nf-core MCP Server
Manage and navigate local nf-core pipeline repositories.
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:
-
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 -
Directory Structure: Your workspace should look like this:
workspace/ ├── rnaseq/ ├── sarek/ ├── modules/ └── your-new-pipeline/ -
Verify Installation: After starting the MCP server, use the
list-pipelinescommand 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
-
list-pipelines- Lists all nf-core pipelines in the workspace
- Shows configuration file status
- No parameters required
-
get-pipeline-modules- Gets module information from a pipeline
- Parameters:
pipeline: Pipeline name (rnaseq, sarek, or modules)
-
search-pipelines- Searches through pipeline files
- Parameters:
query: Search querypipeline(optional): Specific pipeline to search
Available Resources
-
pipeline-config- Gets pipeline configuration
- URI format:
pipeline://{name}/config - Parameters:
name: Pipeline name (rnaseq, sarek, or modules)
-
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
Related Servers
Terraform MCP
A command-line tool that acts as an MCP server to interact with Terraform environments.
MCP Installer
Set up MCP servers in Claude Desktop
PyPI MCP Server
Search and access Python package metadata, version history, and download statistics from the PyPI repository.
Claude TypeScript MCP Servers
A collection of TypeScript MCP servers to enhance Claude Desktop as a powerful development assistant using your Claude Pro/Max subscription.
Pica MCP Server
Integrates with the Pica API platform to interact with various third-party services through a standardized interface.
Apifox MCP Pro
An enhanced Apifox MCP service providing comprehensive API management capabilities for Claude Desktop and Cursor.
FreeCAD MCP
A server to interact with FreeCAD models using the Model Context Protocol (MCP).
FastMCP
A fast, Pythonic framework for building MCP servers and clients.
Make
Execute make targets from any Makefile in a safe and controlled environment.
AST2LLM for Go
An AST-powered tool that enhances LLM context by automatically injecting relevant Go code structures into prompts.