Better Qdrant MCP Server

MIT License

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search

Find similar documents in a specified collection using semantic search with multiple embedding service options, and control result precision by setting limit parameters.

Instructions

Search for similar documents in a collection

Input Schema

Name	Required	Description
`collection`	Yes	Name of the collection to search in
`embeddingService`	Yes	Embedding service to use
`limit`	No	Maximum number of results to return (optional)
`query`	Yes	Search query

Input Schema (JSON Schema)

{
  "properties": {
    "collection": {
      "description": "Name of the collection to search in",
      "type": "string"
    },
    "embeddingService": {
      "description": "Embedding service to use",
      "enum": [
        "openai",
        "openrouter",
        "fastembed",
        "ollama"
      ],
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return (optional)",
      "type": "number"
    },
    "query": {
      "description": "Search query",
      "type": "string"
    }
  },
  "required": [
    "query",
    "collection",
    "embeddingService"
  ],
  "type": "object"
}

Install Server

HTTP connection URL

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