1. Conduid
  2. Data
  3. Milvus
MCP server · Data

Milvus

MCP server for Milvus vector database with session-aware connection management.

54Fair

Scored yesterday · breakdown

About Milvus

Milvus is an MCP server published by tailabs in the Data category: mCP server for Milvus vector database with session-aware connection management.

The repository has 1 stars and 1 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/tailabs/mcp-milvus

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Milvus

Powered by Claude · Grounded in docs

I know everything about Milvus. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

3 checks have not been run yet.

Releases

v0.1.0v0.1.0 · 14 Jul 2025Full Changelog**: https://github.com/tailabs/mcp-milvus/commits/v0.1.0

README

MCP Milvus

A Model Context Protocol (MCP) server for Milvus vector database, providing comprehensive vector database operations.

🚀 Features

  • Complete Milvus Operations: Full lifecycle management of databases, collections, and indexes
  • High-Performance Vector Search: Support for similarity search, hybrid search, and more retrieval methods
  • Intelligent Session Management: Efficient connection pooling based on Ristretto cache
  • Engineering Architecture: Modular design for easy extension and maintenance
  • Middleware Support: Built-in logging, authentication, and other middleware
  • Docker Support: Complete containerized deployment solution
  • Type Safety: Go's strong type system ensures API safety

📋 Supported Tools

Database Management

  • milvus_create_database - Create database
  • milvus_list_databases - List all databases
  • milvus_use_database - Switch database

Collection Management

  • milvus_create_collection - Create collection
  • milvus_drop_collection - Drop collection
  • milvus_list_collections - List collections
  • milvus_get_collection_info - Get collection information
  • milvus_rename_collection - Rename collection
  • milvus_load_collection - Load collection into memory
  • milvus_release_collection - Release collection from memory

Index Management

  • milvus_create_index - Create index
  • milvus_drop_index - Drop index

Data Operations

  • milvus_insert_data - Insert data
  • milvus_upsert - Insert or update data
  • milvus_delete_entities - Delete entities
  • milvus_query - Conditional query
  • milvus_vector_search - Vector similarity search

Connection Management

  • milvus_connector - Establish Milvus connection

🛠️ Installation and Usage

Prerequisites

  • Go 1.24 or higher
  • Running Milvus instance

Install from Source

git clone https://github.com/tailabs/mcp-milvus.git
cd mcp-milvus
make deps
make build

Or using Go directly:

git clone https://github.com/tailabs/mcp-milvus.git
cd mcp-milvus
go mod download
go build -o mcp-milvus ./cmd/mcp-milvus

Docker Deployment

# Build image
docker build -t mcp-milvus .

# Run container
docker run -p 8080:8080 mcp-milvus

Usage

  1. Start the server
# Using Makefile
make run

# Or directly
./build/mcp-milvus
  1. Connect to Milvus Use the milvus_connector tool to establish connection:
{
  "address": "localhost:19530",
  "token": "username:password",
  "db_name": "default"
}
  1. Perform operations After connection is established, you can use other tools for database operations.

🏗️ Project Structure

mcp-milvus/
├── cmd/mcp-milvus/          # Main application entry
├── internal/
│   ├── middleware/          # Middleware (logging, auth, etc.)
│   ├── registry/            # Tool registry
│   ├── schema/              # Schema builder
│   ├── session/             # Session management
│   └── tools/               # Milvus tool implementations
├── Dockerfile               # Docker build file
├── go.mod                   # Go module definition
└── README.md               # Project documentation

🔧 Configuration

Environment Variables

  • LOG_LEVEL: Log level (debug/info/warn/error), default: info
  • PORT: Service port, default: 8080

Connection Configuration

Supports the following connection parameters:

  • address: Milvus service address
  • token: Authentication token (format: username:password)
  • db_name: Database name

🤝 Contributing

We welcome all forms of contributions! Please see CONTRIBUTING.md for details.

Development Workflow

  1. Fork this repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Set up development environment (make deps && make tools)
  4. Make your changes and test (make test && make lint)
  5. Commit your changes (git commit -m 'Add some AmazingFeature')
  6. Push to the branch (git push origin feature/AmazingFeature)
  7. Open a Pull Request

Available Make Commands

Run make help to see all available commands:

make help          # Show all available commands
make build         # Build binary
make test          # Run tests
make lint          # Run linter
make fmt           # Format code
make run           # Build and run
make dev           # Run with live reload
make docker        # Build Docker image
make build-all     # Build for all platforms
make release       # Prepare release
make clean         # Clean build artifacts

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Related Links

📞 Support

If you encounter any issues or have questions:

  1. Check Issues to see if similar issues exist
  2. Create a new Issue describing your problem
  3. Join discussions in Discussions

🙏 Acknowledgments

  • Milvus - Excellent vector database
  • MCP Go - Go implementation of MCP
  • All contributors and users

⭐ If this project helps you, please give it a Star!

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Milvus

How do I install Milvus?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Milvus safe to use with an AI agent?

Its trust score is 54 out of 100 (fair). It passes 2 of the 3 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Milvus still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.