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Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.10-slim
+FROM python:3.10-slim
 
 WORKDIR /app
 
@@ -13,7 +13,6 @@ RUN pip install --no-cache-dir -r requirements.txt
 COPY edgar_client.py .
 COPY financial_analyzer.py .
 COPY mcp_server_fastmcp.py .
-COPY app.py .
 
 # Expose port
 EXPOSE 7860
@@ -21,9 +20,11 @@ EXPOSE 7860
 # Environment variables
 ENV PYTHONUNBUFFERED=1
 ENV PYTHONDONTWRITEBYTECODE=1
+ENV PORT=7860
+ENV HOST=0.0.0.0
 
 # Health check
 HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 CMD curl -f http://localhost:7860/ || exit 1
 
 # Run MCP Server
-CMD ["python", "app.py"]
+CMD ["python", "mcp_server_fastmcp.py"]

README.md

@@ -5,7 +5,6 @@ colorFrom: blue
 colorTo: green
 sdk: docker
 app_port: 7860
-app_file: app.py
 pinned: false
 ---
 

mcp_server_fastmcp.py

@@ -1,4 +1,4 @@
-"""
+"""
 MCP Server for SEC EDGAR Financial Data - FastMCP Implementation
 Uses Anthropic official FastMCP SDK for cleaner, more maintainable code
 """
@@ -197,6 +197,19 @@ def advanced_search_company(company_input: str) -> dict:
     return result
 
 
-# For production deployment, use the MCP SDK server directly
+# For production deployment
 if __name__ == "__main__":
-    mcp.run(transport="sse")
+    import os
+    import uvicorn
+    
+    # Get port from environment or use 7860 for HF Space
+    port = int(os.getenv("PORT", "7860"))
+    host = os.getenv("HOST", "0.0.0.0")
+    
+    # Run with uvicorn manually since mcp.run() defaults to port 8000
+    # We create a simple ASGI app wrapper
+    async def asgi_app(scope, receive, send):
+        # Delegate to FastMCP's SSE handler
+        await mcp._handle_sse_message(scope, receive, send)
+    
+    uvicorn.run(asgi_app, host=host, port=port)