Skip to content

Latest commit

 

History

History
166 lines (119 loc) · 5.69 KB

OPENAPI_IMPLEMENTATION.md

File metadata and controls

166 lines (119 loc) · 5.69 KB

EPR MCP Server - OpenAPI Implementation

Summary

I have successfully implemented OpenAPI endpoint support for the EPR MCP Server. This implementation provides a comprehensive API interface with automatic MCP tool generation, interactive documentation, and schema validation.

What Was Implemented

1. OpenAPI 3.0 Specification (src/epr_mcp/openapi.yaml)

A complete OpenAPI 3.0 specification that defines:

  • Schemas: Event, EventReceiver, EventReceiverGroup, SearchCriteria, Error
  • Endpoints:
    • Fetch operations: GET /api/v1/{resource}/{id}
    • Create operations: POST /api/v1/{resource}
    • Search operations: POST /api/v1/{resource}/search
    • Health check: GET /health
  • Request/Response types: Proper typing for all operations
  • Validation rules: Required fields, data types, constraints

2. OpenAPI Endpoint Support (server.py)

Enhanced the existing server with:

  • OpenAPI Spec Endpoints:

    • GET /openapi.yaml - YAML format specification
    • GET /openapi.json - JSON format specification
    • GET /docs - Swagger UI interactive documentation

  • Improved Error Handling: Better HTTP status codes and error messages

  • Structured Responses: All responses now use model objects and return JSON

  • Schema Integration: Full integration with existing Pydantic validation schemas

3. Alternative OpenAPI Server (openapi_server.py)

A demonstration of how to use FastMCP's native OpenAPI integration:

  • FastMCPOpenAPI Class: Shows how to leverage FastMCP's built-in OpenAPI support
  • Route Mappings: Configuration to map OpenAPI paths to MCP components
  • Handler Classes: Structured approach for handling API operations

4. Enhanced Models and Schemas

  • Updated GraphQLQuery: Fixed to support dictionary variables
  • Model Integration: Full integration between dataclass models and API operations
  • Validation: Consistent ValidationError usage throughout the codebase

5. Testing and Documentation

  • Comprehensive Tests (tests/test_openapi.py): Validates OpenAPI spec structure and schemas
  • Demo Script (openapi_demo.py): Interactive demonstration of capabilities
  • Updated README: Complete documentation of OpenAPI features
  • Updated Dependencies: Added PyYAML for OpenAPI spec handling

Key Features

🔄 Automatic MCP Tool Generation

The OpenAPI specification can be used with FastMCP to automatically generate MCP tools, eliminating manual tool definition.

📚 Interactive Documentation

Swagger UI provides a user-friendly interface to explore and test the API endpoints directly in the browser.

🛡️ Type Safety & Validation

  • Pydantic schemas for request validation
  • Dataclass models for response serialization
  • OpenAPI schemas for API documentation
  • Consistent error handling with ValidationError

🔌 Flexible Architecture

  • Works with existing manual MCP tool definitions
  • Can be migrated to use FastMCP's OpenAPI integration
  • Maintains backward compatibility
  • Extensible for future enhancements

API Endpoints Available

When the server is running on http://localhost:8000:

Endpoint Purpose Format
/openapi.yaml OpenAPI specification YAML
/openapi.json OpenAPI specification JSON
/docs Interactive API documentation HTML (Swagger UI)
/health Health check Plain text

MCP Tools Generated

From the OpenAPI specification, these MCP tools are available:

  1. fetchEvent - Retrieve a single event by ID
  2. fetchReceiver - Retrieve a single event receiver by ID
  3. fetchGroup - Retrieve a single event receiver group by ID
  4. createEvent - Create a new event
  5. createReceiver - Create a new event receiver
  6. createGroup - Create a new event receiver group
  7. searchEvents - Search for events with criteria
  8. searchReceivers - Search for event receivers with criteria
  9. searchGroups - Search for event receiver groups with criteria
  10. healthCheck - Health status check

Benefits

For Developers

  • Clear API contract with OpenAPI specification
  • Interactive testing with Swagger UI
  • Automatic tool generation reduces boilerplate
  • Type-safe operations with proper validation

For Users

  • Consistent interface across all operations
  • Self-documenting API with examples
  • Better error messages and status codes
  • Structured JSON responses

For Maintenance

  • Single source of truth for API definition
  • Automatic validation ensures consistency
  • Easy to extend with new operations
  • Clear separation of concerns

Next Steps

  1. Install Dependencies: pip install PyYAML fastmcp
  2. Start Server: Run with your EPR configuration
  3. Explore API: Visit http://localhost:8000/docs
  4. Use MCP Tools: Integrate with MCP clients
  5. Extend: Add new operations to the OpenAPI spec

File Structure

src/epr_mcp/
├── openapi.yaml           # OpenAPI 3.0 specification
├── server.py              # Enhanced MCP server with OpenAPI endpoints
├── openapi_server.py      # Alternative FastMCP OpenAPI implementation
├── models.py              # Data models (Event, EventReceiver, etc.)
├── schemas.py             # Pydantic validation schemas
└── ...

tests/
├── test_openapi.py        # OpenAPI specification tests
└── ...

openapi_demo.py            # Interactive demonstration script
README.md                  # Updated documentation

This implementation provides a robust, well-documented, and extensible foundation for the EPR MCP Server with full OpenAPI support.