qdrant/mcp-server-qdrant

4.0

mcp-server-qdrant is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.

If you are the rightful owner of mcp-server-qdrant and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The mcp-server-qdrant is a Model Context Protocol server designed to integrate with the Qdrant vector search engine, providing a semantic memory layer for storing and retrieving information.

Try mcp-server-qdrant with chat:

qdrant-find

Look up memories in Qdrant. Use this tool when you need to: - Find memories by their content - Access memories for further analysis - Get some personal information about the user

Try it

Result:

qdrant-store

Keep the memory for later use, when you are asked to remember something.

Try it

Result:

Loading Tools

Connecting to MCP server and fetching available tools...

Author

qdrant

Claim Ownership

Verify you have write access to the repository

Version

v0.8.0

Repository

https://github.com/qdrant/mcp-server-qdrant

Homepage

https://qdrant.tech

GitHub Stars

888

License

Apache License 2.0

Last publish date

2025-06-27

Last update date

2025-08-30

Server configs

via uvx in claude desktop

{
  "qdrant": {
    "command": "uvx",
    "args": ["mcp-server-qdrant"],
    "env": {
      "QDRANT_URL": "https://xyz-example.eu-central.aws.cloud.qdrant.io:6333",
      "QDRANT_API_KEY": "your_api_key",
      "COLLECTION_NAME": "your-collection-name",
      "EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
    }
  }
}

via uvx in vs code

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "qdrantUrl",
        "description": "Qdrant URL"
      },
      {
        "type": "promptString",
        "id": "qdrantApiKey",
        "description": "Qdrant API Key",
        "password": true
      },
      {
        "type": "promptString",
        "id": "collectionName",
        "description": "Collection Name"
      }
    ],
    "servers": {
      "qdrant": {
        "command": "uvx",
        "args": ["mcp-server-qdrant"],
        "env": {
          "QDRANT_URL": "${input:qdrantUrl}",
          "QDRANT_API_KEY": "${input:qdrantApiKey}",
          "COLLECTION_NAME": "${input:collectionName}"
        }
      }
    }
  }
}

in vs code

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "qdrantUrl",
        "description": "Qdrant URL"
      },
      {
        "type": "promptString",
        "id": "qdrantApiKey",
        "description": "Qdrant API Key",
        "password": true
      },
      {
        "type": "promptString",
        "id": "collectionName",
        "description": "Collection Name"
      }
    ],
    "servers": {
      "qdrant": {
        "command": "docker",
        "args": [
          "run",
          "-p", "8000:8000",
          "-i",
          "--rm",
          "-e", "QDRANT_URL",
          "-e", "QDRANT_API_KEY",
          "-e", "COLLECTION_NAME",
          "mcp-server-qdrant"
        ],
        "env": {
          "QDRANT_URL": "${input:qdrantUrl}",
          "QDRANT_API_KEY": "${input:qdrantApiKey}",
          "COLLECTION_NAME": "${input:collectionName}"
        }
      }
    }
  }
}

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