
Dev assistant MCP
Dev assistant MCP
An MCP server for managing and navigating nf-core pipeline repositories.
cd nf-core_mcp
npm install
# Build TypeScript
npm run build
# Start the server
npm start# 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-mcpTo 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 manageDirectory Structure: Your workspace should look like this:
workspace/
├── rnaseq/
├── sarek/
├── modules/
└── your-new-pipeline/Verify Installation:
After starting the MCP server, use the list-pipelines command to verify that your new pipelines are detected:
list-pipelinesNote: The MCP server will automatically detect and manage any nf-core pipeline repositories in your workspace directory.
list-pipelines
get-pipeline-modules
pipeline: Pipeline name (rnaseq, sarek, or modules)search-pipelines
query: Search querypipeline (optional): Specific pipeline to searchpipeline-config
pipeline://{name}/configname: Pipeline name (rnaseq, sarek, or modules)pipeline-workflow
pipeline://{name}/workflowname: Pipeline name (rnaseq, sarek, or modules)Add the following to your mcp.json:
{
"mcpServers": {
"nf-core": {
"command": "npx",
"args": ["-y", "nf-core-mcp"]
}
}
}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"
]
}
}
}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# If installed globally
nf-core-mcp
# If installed locally
npx nf-core-mcp
# Using npx without installation
npx -y nf-core-mcpdocker run -it --rm \
-v /path/to/your/workspace:/app/workspace \
nf-core-mcp# Install dependencies
npm install
# Build TypeScript
npm run build
# Run in development mode
npm run dev
# Run tests
npm test
# Run linter
npm run lintMIT
Pick your client and paste the snippet. Each one is the same server, written the way that client expects it.
claude mcp add nf-core -- npx -y nf-core-mcp{
"mcpServers": {
"nf-core": {
"args": [
"-y",
"nf-core-mcp"
],
"command": "npx"
}
}
}code --add-mcp '{"name":"nf-core","args":["-y","nf-core-mcp"],"command":"npx"}'[mcp_servers.nf-core]
command = "npx"
args = ["-y", "nf-core-mcp"]Runs locally on your device. Your client starts the server itself, so nothing has to be hosted.
Paste this prompt into your agent. It reads this page and does the setup for you.
Read https://aiagentslisting.com/mcp/nf-core-mcp-server to learn what the "nf-core MCP Server" MCP server does and how to install it. Add it to my coding agent's MCP configuration as documented on that page, then confirm the server connects and list the tools it exposes.Agents can also browse this directory over MCP at https://aiagentslisting.com/api/mcp
docker run -i --rm
docker run -it --rmnpx nf-core-mcp
npx -y nf-core-mcpThis server runs locally, so we can't read its tool list over the web yet.
Maintain this server? Claiming proves you own the listing and earns the last 4 points.
Claim this listingPaste this line near the top of your repository's README. The badge always renders the current score.
[](https://aiagentslisting.com/mcp/nf-core-mcp-server)Nothing comparable is listed yet.
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Connect to the AI Agents Listing MCP server at https://aiagentslisting.com/api/mcp using the HTTP transport and complete the sign-in when it asks. Then call the submit_review tool for the listing "nf-core-mcp-server" with a rating from 1 to 5 and a short note on what worked and what did not.No reviews yet
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