# mcp-server-milvus

> Use this tool when you need to efficiently manage and search large datasets of vectors and text, and interact with a vector database. It solves problems related to similarity search, data retrieval, and collection management, providing capabilities for vector search, text search, and hybrid search. The tool accepts dataset inputs and returns relevant search results, making it ideal for applications requiring complex data queries and analysis.

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

## Description

Provides MCP tools to interact with Milvus vector database, enabling vector search, text search, hybrid search, and collection management.

## 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/tep32nm0tn)
- **Repository:** <https://github.com/danchev/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": "danchev-mcp-server-milvus"
    }
  }
}
```

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

---
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