# Milvus

> Use this tool when you need to manage and query large-scale vector data for AI applications, such as similarity searches, recommendation systems, and semantic search implementations. It provides a comprehensive API for creating collections, inserting and querying vector data, and managing database operations programmatically. With support for customizable schemas, index management, and authentication middleware, Milvus is ideal for building AI assistants that require efficient vector storage and retrieval capabilities.

Canonical page: https://skillsregistry.net/skills/tailabs-milvus  
JSON: https://api.skillsregistry.net/v1/skills/tailabs-milvus

## Description

This MCP server provides comprehensive vector database operations through the Milvus API, enabling AI assistants to create collections with custom schemas, insert and query vector data, perform similarity searches, and manage database operations programmatically. Built by TaiLabs using Go with session management and middleware support, it offers 17 specialized tools including collection creation with flexible field definitions, vector similarity search with configurable metrics, data insertion with automatic type conversion, index management for performance optimization, and database administration capabilities. The implementation features robust session handling with automatic cleanup, type-safe data transformation between JSON and Milvus formats, authentication middleware, and detailed logging with performance monitoring, making it valuable for AI applications requiring vector storage and retrieval, semantic search implementations, recommendation systems, and building AI assistants that need programmatic access to Milvus vector databases without manual cluster management.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tailabs-milvus)
- **Repository:** <https://github.com/tailabs/mcp-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": "tailabs-milvus"
    }
  }
}
```

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