epr-mcp-python

xbcsmith/epr-mcp-python

3.2

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EPR MCP Python is a Python-based server designed for the Event Provenance Registry, utilizing the Model Context Protocol (MCP) to manage and track event provenance data.

epr-mcp-python

Overview

EPR MCP Python is a python MCP server for the Event Provenance Registry server.

Development

Local Development

git clone git@github.com:xbcsmith/epr-mcp-python.git
cd epr-mcp-python

python3 -m venv .venv/epr-mcp-python
source .venv/epr-mcp-python/bin/activate

pip install -e .

Docker Development

Option 1: Docker Compose (Recommended)
git clone git@github.com:xbcsmith/epr-mcp-python.git
cd epr-mcp-python

# Copy and configure environment
cp .env.example .env
# Edit .env with your EPR_URL and EPR_TOKEN

# Start with Docker Compose
docker-compose up -d

# View logs
docker-compose logs -f epr-mcp-server
Option 2: Direct Docker Run
git clone git@github.com:xbcsmith/epr-mcp-python.git
cd epr-mcp-python

# Build the Docker image
docker build -t epr-mcp-server .

# Run with environment variables
docker run -d \
  --name epr-mcp-server \
  -p 8000:8000 \
  -e EPR_URL=http://host.docker.internal:8042 \
  -e EPR_TOKEN=your-epr-api-token \
  -e EPR_DEBUG=false \
  epr-mcp-server

# View logs
docker logs -f epr-mcp-server

# Stop the container
docker stop epr-mcp-server
docker rm epr-mcp-server
Docker Run Options

Basic run:

docker run -p 8000:8000 \
  -e EPR_URL=http://host.docker.internal:8042 \
  -e EPR_TOKEN=your-token \
  epr-mcp-server

With volume for logs:

docker run -p 8000:8000 \
  -v $(pwd)/logs:/app/logs \
  -e EPR_URL=http://host.docker.internal:8042 \
  -e EPR_TOKEN=your-token \
  epr-mcp-server

Interactive mode (for debugging):

docker run -it --rm \
  -p 8000:8000 \
  -e EPR_URL=http://host.docker.internal:8042 \
  -e EPR_TOKEN=your-token \
  epr-mcp-server

IMPORTANT: When running in Docker, EPR_URL must point to the correct address:

  • If EPR server runs on host: EPR_URL=http://host.docker.internal:8042
  • If EPR server runs in container: EPR_URL=http://container-name:8042

See for detailed Docker Compose documentation.

Development dependencies

pip install -e .[lint,test,build]

Makefile

install         Installs epr-mcp-python into a virtualenv called epr-mcp
lint            Run linter (requires ruff)
tests           Run tests
release         Run tox
wheel           Create an sdist bdist_wheel
clean           Cleanup everything

Usage

The EPR MCP server provides both MCP tools and OpenAPI endpoints for interacting with the Event Provenance Registry.

MCP Tools

The server automatically generates MCP tools from the OpenAPI specification:

  • fetchEvent - Fetch an event by ID
  • fetchReceiver - Fetch an event receiver by ID
  • fetchGroup - Fetch an event receiver group by ID
  • createEvent - Create a new event
  • createReceiver - Create a new event receiver
  • createGroup - Create a new event receiver group
  • searchEvents - Search for events
  • searchReceivers - Search for event receivers
  • searchGroups - Search for event receiver groups
  • healthCheck - Health check endpoint

OpenAPI Endpoints

When the server is running, the following OpenAPI endpoints are available:

  • OpenAPI Specification:

    • YAML format: http://localhost:8000/openapi.yaml
    • JSON format: http://localhost:8000/openapi.json

  • API Documentation:

    • Swagger UI: http://localhost:8000/docs

  • Health Check:

    • http://localhost:8000/health

Example Usage

# Using MCP tools
mcp.call_tool('fetchEvent', {'id': 'event-123'})

mcp.call_tool('searchEvents', {
    'name': 'deployment', 
    'version': '1.0.0'
})

mcp.call_tool('createEvent', {
    'name': 'test-event',
    'version': '1.0.0',
    'release': '1.0.0',
    'platform_id': 'linux',
    'package': 'test-package',
    'description': 'Test event',
    'event_receiver_id': 'receiver-123',
    'success': True,
    'payload': {'key': 'value'}
})

VSCode

HTTP Transport Configuration
"mcp": {
	"servers": {
		"epr-mcp-server": {
			"type": "http",
			"url": "http://localhost:8000/mcp"
		}
	}
}
Docker Configuration (Alternative)

If running via Docker, you can use this configuration:

"mcp": {
	"servers": {
		"epr-mcp-server": {
			"command": "docker",
			"args": [
				"run",
				"-d",
				"--rm",
				"--network=host",
				"-e",
				"EPR_URL=${input:epr_url}",
				"-e",
				"EPR_TOKEN=${input:epr_token}",
				"epr-mcp-python:latest"
			],
			"type": "http",
			"url": "http://localhost:8000/mcp"
		}
	},
	"inputs": [
		{
			"type": "promptString",
			"id": "epr_token",
			"description": "EPR API Token",
			"password": true
		},
		{
			"type": "promptString",
			"id": "epr_url",
			"description": "EPR URL",
			"default": "http://localhost:8042",
			"password": false
		}
	]
}
Local Development Configuration

For local development, start the server first and then use this configuration:

"mcp": {
	"servers": {
		"epr-mcp-server": {
			"type": "http",
			"url": "http://localhost:8000/mcp",
			"env": {
				"EPR_URL": "${input:epr_url}",
				"EPR_TOKEN": "${input:epr_token}"
			}
		}
	},
	"inputs": [
		{
			"type": "promptString",
			"id": "epr_token",
			"description": "EPR API Token",
			"password": true
		},
		{
			"type": "promptString",
			"id": "epr_url",
			"description": "EPR URL",
			"default": "http://localhost:8042",
			"password": false
		}
	]
}
Starting the Server

Before using the VSCode integration, start the EPR MCP Server:

# Set environment variables
export EPR_URL="http://your-epr-server:8042"
export EPR_TOKEN="your-api-token"

# Start the server
python -m epr_mcp.main start

The server will be available at http://localhost:8000/mcp for MCP connections and http://localhost:8000/docs for API documentation.

Run MCP Inspector
npx @modelcontextprotocol/inspector

Troubleshooting

Having connection issues? See the for detailed solutions to common problems.

Quick fixes for Docker:

  • Connection failed errors: Use EPR_URL=http://host.docker.internal:8042 in your .env file
  • Check if EPR server is running: curl http://localhost:8042/health
  • View logs: docker-compose logs -f epr-mcp-server

Documentation

  • - Docker Compose and direct Docker usage
  • - Common Docker commands and examples
  • - Solutions to common issues