1  import httpx
 2  from mcp.server.fastmcp import FastMCP
 3  
 4  # Initialize FastMCP for your "Parallel Swarm"
 5  mcp = FastMCP("Parallel_AI_Swarm")
 6  
 7  @mcp.tool()
 8  async def search_3tb_archive(query_text: str):
 9      """Searches the 3.6TB Epstein Research archive for specific keywords."""
10      async with httpx.AsyncClient() as client:
11          # This hits your live terminal DB
12          response = await client.post(
13              "http://localhost:6333/collections/epstein_research/points/scroll",
14              json={
15                  "filter": {"must": [{"key": "text", "match": {"value": query_text}}]},
16                  "limit": 3
17              }
18          )
19          return response.json()
20  
21  if __name__ == "__main__":
22      mcp.run()