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Milvus MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

71,107 tools. Last updated 2026-02-09 16:08
  • Remove entities from a Milvus vector database collection using filtering conditions or primary keys to manage data efficiently.
    Apache 2.0
  • Retrieve detailed metadata about a specific collection in a Milvus or Zilliz Cloud vector database, including fields, indexes, and configuration.
    Apache 2.0
  • Filter and retrieve data from a Milvus vector database collection using boolean expressions to find specific records based on defined criteria.
    Apache 2.0
  • Create vector collections in Milvus or Zilliz Cloud by specifying cluster details, dimensions, and metric types to organize data for similarity searches.
    Apache 2.0
  • Add data to a Milvus vector database collection through the Zilliz MCP Server by specifying cluster details and entity objects matching the schema.
    Apache 2.0

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