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Milvus

MilvusMCP Server

by Zilliz
Added to Onei
v0.1.1.dev9
Repository Docs
Databases & Data

Summary

Search and manage Milvus vector collections from an AI client — vector, full-text, and hybrid queries.

Features

  • Vector, full-text, and hybrid search over Milvus collections
  • Collection and index management
  • Works with Milvus Lite, self-hosted, and Zilliz Cloud

Installation

Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.

Any MCP-compatible agent

Most agents (Claude, Cursor, Windsurf, VS Code, and more) read a standard mcpServers configuration.

  1. Open your agent's MCP configuration file.
  2. Merge the snippet below into it.
  3. Restart the agent — the "Milvus" tools will be available.
{
  "mcpServers": {
    "milvus": {
      "command": "uvx",
      "args": [
        "mcp-server-milvus",
        "--milvus-uri",
        "http://localhost:19530"
      ]
    }
  }
}

Description

The Milvus MCP server from Zilliz gives an assistant access to Milvus, one of the most widely deployed open-source vector databases.

Capabilities
  • Search — dense vector similarity, sparse full-text, and hybrid queries combining both, with metadata filtering
  • Collection management — create, describe, load, release, and drop collections
  • Data operations — insert, upsert, delete, and query by expression
  • Index management for tuning the accuracy/speed trade-off
Deployment options

The same server works against Milvus Lite (an embedded file-based mode ideal for local development), a self-hosted Milvus cluster, and Zilliz Cloud. That range means the same configuration pattern carries from a laptop prototype to production.

Where it fits

Useful both as a retrieval backend an assistant can query during a task, and as a development aid — inspecting what is actually in a collection is the fastest way to debug a RAG pipeline returning nonsense.

Runs with uvx mcp-server-milvus --milvus-uri <uri>.

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