Search, Query and interact with data in your Milvus Vector Database.
Milvus mcp server connects Milvus to AI assistants that speak the Model Context Protocol. Search, Query and interact with data in your Milvus Vector Database.
This repository contains a MCP server that provides access to Milvus vector database functionality.
Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Before the server will start you need to supply one environment variable: MILVUS_TOKEN. Keep credentials in your client's env block or a secrets manager rather than committing them.
Before using this MCP server, ensure you have: - Python 3.10 or higher - A running Milvus instance (local or remote) - uv installed (recommended for running the server)
Database servers turn schema archaeology and ad-hoc reporting into conversation, which is why they tend to be the second or third server people install. Milvus sits in that group. Worth comparing against the other databases servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
2. Update `mcp.json`:
```json
{
"mcpServers": {
"milvus-streamable-http": {
"url": "http://your_host:port/mcp",
"disabled": false,
"autoApprove": []
}
}
}Configuration as documented by the project. Restart the client after saving.
Before using this MCP server, ensure you have: - Python 3.10 or higher - A running Milvus instance (local or remote) - uv installed (recommended for running the server)
| Variable | Description | Required |
|---|---|---|
| MILVUS_TOKEN | Credential the server authenticates with. | Yes |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.