# Milvus MCP Server

> Use this tool when you need to integrate large language models (LLMs) with a vector database for efficient search, query, and data management operations. It enables seamless interaction between LLMs and Milvus, allowing for robust data retrieval and manipulation. Ideal for applications requiring complex data queries and vector search, such as natural language processing and machine learning workflows.

Canonical page: https://skillsregistry.net/skills/stephen37-mcp-server-milvus  
JSON: https://api.skillsregistry.net/v1/skills/stephen37-mcp-server-milvus

## Description

Enables LLMs to interact with Milvus vector database for search, query, and collection management operations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ce5mkbya2x)
- **Repository:** <https://github.com/stephen37/mcp-server-milvus>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "stephen37-mcp-server-milvus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stephen37-mcp-server-milvus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stephen37-mcp-server-milvus/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt