Teams Messenger MCP App

FROM python:3.10-slim WORKDIR /app # Install system dependencies RUN apt-get update && apt-get install -y --no-install-recommends \ build-essential \ && apt-get clean \ && rm -rf /var/lib/apt/lists/* # Copy requirements COPY requirements.txt /app/ # Install Python dependencies RUN pip install --no-cache-dir -r requirements.txt RUN pip install --no-cache-dir "mcp[cli]>=1.2.0" fastapi uvicorn # Copy application code COPY . /app/ # Create a script to run an HTTP API server with FastAPI RUN echo '#!/usr/bin/env python3\nimport uvicorn\nfrom fastapi import FastAPI, Request, Response\nimport json\nimport logging\n\nlogging.basicConfig(level=logging.INFO)\nlogger = logging.getLogger(__name__)\n\napp = FastAPI()\n\n@app.get("/")\ndef health_check():\n return {"status": "ok", "message": "IR server is running"}\n\n@app.get("/api/tools")\ndef list_tools():\n return {"tools": ["search", "index_content", "index_teams_messages", "get_content_count", "delete_content"]}\n\n@app.post("/api/tools/{tool_name}")\nasync def call_tool(tool_name: str, request: Request):\n try:\n logger.info(f"Tool call received: {tool_name}")\n content = await request.json()\n logger.info(f"Tool parameters: {content}")\n \n if tool_name == "search":\n query = content.get("query", "")\n search_type = content.get("search_type", "hybrid")\n limit = content.get("limit", 10)\n logger.info(f"Search request: query={query}, type={search_type}, limit={limit}")\n return {\n "result": {\n "results": [\n {\n "id": "result-1",\n "content": f"This is a simulated search result for: {query}",\n "score": 0.95,\n "metadata": {"source": "teams", "created": "2025-04-01T12:00:00Z"}\n },\n {\n "id": "result-2", \n "content": f"Another result matching: {query}",\n "score": 0.82,\n "metadata": {"source": "teams", "created": "2025-03-28T15:30:00Z"}\n }\n ],\n "metadata": {\n "total_results": 2,\n "search_type": search_type\n }\n }\n }\n elif tool_name == "index_content":\n content_text = content.get("content", "")\n source_type = content.get("source_type", "")\n metadata = content.get("metadata", {})\n logger.info(f"Indexing content: source_type={source_type}, length={len(content_text)}")\n return {\n "result": {\n "status": "success",\n "indexed_id": f"doc-{hash(content_text) % 10000}",\n "source_type": source_type\n }\n }\n elif tool_name == "get_content_count":\n source_type = content.get("source_type")\n logger.info(f"Content count request: source_type={source_type}")\n return {\n "result": {\n "total": 1250,\n "by_source": {\n "teams": 1142,\n "email": 108\n }\n }\n }\n else:\n return {\n "result": {\n "status": "success", \n "tool": tool_name,\n "parameters": content,\n "message": "Simulated tool response"\n }\n }\n except Exception as e:\n logger.error(f"Error processing tool call: {e}")\n return {"error": str(e)}\n\nif __name__ == "__main__":\n logger.info("Starting FastAPI server on 0.0.0.0:8090")\n uvicorn.run(app, host="0.0.0.0", port=8090)' > /app/start_server.py \ && chmod +x /app/start_server.py # Set Python path to include parent directory ENV PYTHONPATH="/app:${PYTHONPATH}" # Set environment variables with default values ENV MCP_SERVER_PORT=8090 ENV MCP_SERVER_HOST="0.0.0.0" ENV PORT=8090 ENV HOST="0.0.0.0" ENV MCP_HTTP=1 # Create a non-root user to run the application RUN useradd -m appuser USER appuser # Expose port for MCP server EXPOSE 8090 # Start the MCP IR server with minimal script CMD ["python", "/app/start_server.py"]