Pandoc Bridge

"""Main application entry point - FastAPI + FastMCP integration.""" import uvicorn from fastapi import FastAPI, Request from fastapi.middleware.cors import CORSMiddleware from fastapi.responses import JSONResponse from src.api.routes import router from src.config import get_settings from src.core.exceptions import PandocBridgeError from src.mcp.server import mcp settings = get_settings() # Create FastAPI application app = FastAPI( title="Pandoc Bridge", description=""" Document format conversion service using Pandoc. Supports both REST API (OpenAPI 3.1) and MCP (Model Context Protocol) interfaces. ## Features - Convert text between 40+ document formats - Upload and convert files - Streaming conversion with progress events - Bearer token authentication ## Authentication Protected endpoints require a Bearer token in the Authorization header: ``` Authorization: Bearer <token> ``` ## MCP Server The MCP server is available at `/mcp` endpoint for Claude Desktop and other MCP clients. """, version=settings.service_version, openapi_tags=[ {"name": "Info", "description": "Service information and health checks"}, {"name": "Formats", "description": "Format listing and validation"}, {"name": "Convert", "description": "Document conversion operations"}, ], ) # Add CORS middleware app.add_middleware( CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) # Exception handlers @app.exception_handler(PandocBridgeError) async def pandoc_bridge_exception_handler( request: Request, exc: PandocBridgeError ) -> JSONResponse: """Handle custom exceptions.""" return JSONResponse( status_code=exc.http_status, content=exc.to_dict(), ) # Include REST routes app.include_router(router) # Mount MCP server # FastMCP provides HTTP transport for MCP app.mount("/mcp", mcp.http_app()) def run() -> None: """Run the application with uvicorn.""" uvicorn.run( "src.main:app", host=settings.host, port=settings.port, log_level=settings.log_level.lower(), reload=False, ) if __name__ == "__main__": run()