needle_search

Perform semantic search across documents using natural language queries. Retrieve relevant text passages with source information to find specific content, answer questions, or research topics efficiently.

Instructions

Perform intelligent semantic search across documents in a Needle collection. This tool uses advanced embedding technology to find relevant content based on meaning, not just keywords. The search: - Understands natural language queries - Finds conceptually related content - Returns relevant text passages with source information - Ranks results by semantic relevance

        Use this tool when you need to:
        - Find specific information within documents
        - Answer questions from document content
        - Research topics across multiple documents
        - Locate relevant passages and their sources
        
        More effective than traditional keyword search for:
        - Natural language questions
        - Conceptual queries
        - Finding related content
        
        Returns matching text passages with their source file IDs.

Input Schema

Name	Required	Description	Default
`collection_id`	Yes	The unique collection identifier to search within
`query`	Yes	Natural language query describing the information you're looking for

Input Schema (JSON Schema)

{
  "properties": {
    "collection_id": {
      "description": "The unique collection identifier to search within",
      "type": "string"
    },
    "query": {
      "description": "Natural language query describing the information you're looking for",
      "type": "string"
    }
  },
  "required": [
    "collection_id",
    "query"
  ],
  "type": "object"
}

Needle MCP Server

needle_search

Instructions

Input Schema

Input Schema (JSON Schema)

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