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Ceph MCP Server

by rajmohanram

Ceph MCP Server

A Model Context Protocol (MCP) server that enables AI assistants to interact with Ceph storage clusters through natural language. This server provides a bridge between AI tools and your Ceph infrastructure, making storage management more accessible and intuitive.

🚀 Features

  • Health Monitoring: Get comprehensive cluster health status and diagnostics
  • Host Management: Monitor and manage cluster hosts and their services
  • Detailed Analysis: Access detailed health checks for troubleshooting
  • Secure Communication: Authenticated access to Ceph Manager API
  • Structured Responses: AI-friendly output formatting for clear communication
  • Async Architecture: Non-blocking operations for better performance

📋 Prerequisites

  • Python 3.11 or higher
  • UV package manager
  • Access to a Ceph cluster with Manager API enabled
  • Valid Ceph credentials with appropriate permissions

🛠️ Installation

  1. Clone and setup the project:
# Create the project directory mkdir ceph-mcp-server cd ceph-mcp-server # Initialize UV project uv init --python 3.11 # Add dependencies uv add mcp httpx pydantic python-dotenv structlog asyncio-mqtt uv add --dev pytest pytest-asyncio black isort mypy ruff
  1. Set up your environment:
# Copy the example environment file cp .env.example .env # Edit .env with your Ceph cluster details nano .env
  1. Configure your Ceph connection:
# .env file contents CEPH_MANAGER_URL=https://192.16.0.31:8443 CEPH_USERNAME=admin CEPH_PASSWORD=your_ceph_password CEPH_SSL_VERIFY=false # Set to true in production with proper certificates

🏃‍♂️ Quick Start

  1. Start the MCP server:
uv run python -m ceph_mcp.server
  1. Test the connection: The server will log its startup and any connection issues. Look for messages indicating successful connection to your Ceph cluster.

🔧 Configuration

Environment Variables

VariableDescriptionDefaultRequired
CEPH_MANAGER_URLCeph Manager API endpointhttps://192.16.0.31:8443Yes
CEPH_USERNAMECeph username for API accessadminYes
CEPH_PASSWORDCeph password for authentication-Yes
CEPH_SSL_VERIFYEnable SSL certificate verificationtrueNo
CEPH_CERT_PATHPath to custom SSL certificate-No
LOG_LEVELLogging level (DEBUG, INFO, WARNING, ERROR)INFONo
MAX_REQUESTS_PER_MINUTERate limiting for API requests60No

Security Considerations

  • Production Usage: Always enable SSL verification (CEPH_SSL_VERIFY=true) in production
  • Credentials: Store credentials securely and never commit them to version control
  • Network Access: Ensure the MCP server can reach your Ceph Manager API endpoint
  • Permissions: Use a dedicated Ceph user with minimal required permissions

🎯 Available Tools

The MCP server provides four main tools for AI assistants:

1. get_cluster_health

Get comprehensive cluster health status including overall health, warnings, and statistics.

Use cases:

  • "How is my Ceph cluster doing?"
  • "Are there any storage issues I should know about?"
  • "What's the current status of my cluster?"

2. get_host_status

Retrieve information about all hosts in the cluster including online/offline status and service distribution.

Use cases:

  • "Which hosts are online in my cluster?"
  • "What services are running on each host?"
  • "Are any hosts having problems?"

3. get_health_details

Get detailed health check information for troubleshooting specific issues.

Use cases:

  • "What specific warnings does my cluster have?"
  • "Give me detailed information about cluster errors"
  • "Help me troubleshoot this storage issue"

4. get_host_details

Get comprehensive information about a specific host.

Parameters:

  • hostname: The name of the host to examine

Use cases:

  • "Tell me about host ceph-node-01"
  • "What services are running on this specific host?"
  • "Get detailed specs for this host"

📊 Example Interactions

Health Check

AI Assistant: "How is my Ceph cluster doing?" Response: ✅ Cluster is healthy. All 3 hosts are online. OSDs: 12/12 up. 🟢 Overall Status: HEALTH_OK 🖥️ Hosts: 3/3 online 💾 OSDs: 12/12 up

Troubleshooting

AI Assistant: "What warnings does my cluster have?" Response: 🟡 Cluster has 2 warning(s) requiring attention. 🟡 Warnings requiring attention: - OSD_NEARFULL: 1 osd(s) are getting full - POOL_BACKFILLFULL: 1 pool(s) are backfill full

🧪 Development

Running Tests

# Run all tests uv run pytest # Run with coverage uv run pytest --cov=ceph_mcp # Run specific test types uv run pytest -m "not integration" # Skip integration tests

Code Quality

# Format code uv run black src/ tests/ uv run isort src/ tests/ # Lint code uv run ruff check src/ tests/ uv run mypy src/ # All checks uv run ruff check src/ tests/ && uv run mypy src/ && uv run pytest

Project Structure

ceph-mcp-server/ ├── src/ceph_mcp/ │ ├── __init__.py # Package initialization │ ├── server.py # Main MCP server │ ├── api/ │ │ └── ceph_client.py # Ceph API client │ ├── config/ │ │ └── settings.py # Configuration management │ ├── handlers/ │ │ └── health_handlers.py # Request handlers │ ├── models/ │ │ └── ceph_models.py # Data models │ └── utils/ # Utility functions ├── tests/ # Test suite ├── .env.example # Environment template ├── pyproject.toml # Project configuration └── README.md # This file

🐛 Troubleshooting

Common Issues

  1. Connection Refused
    • Check if Ceph Manager is running and accessible
    • Verify the URL and port in your configuration
    • Ensure network connectivity between MCP server and Ceph cluster
  2. Authentication Failed
    • Verify username and password are correct
    • Check that the user has appropriate permissions
    • Ensure the Ceph user account is active
  3. SSL Certificate Errors
    • For development: Set CEPH_SSL_VERIFY=false
    • For production: Use proper SSL certificates or specify CEPH_CERT_PATH
  4. Permission Denied
    • Ensure the Ceph user has read permissions for health and host information
    • Check Ceph user capabilities: ceph auth get client.your-username

Debugging

Enable debug logging to get more detailed information:

LOG_LEVEL=DEBUG uv run python -m ceph_mcp.server

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature-name
  3. Make your changes and add tests
  4. Run the test suite: uv run pytest
  5. Format code: uv run black src/ tests/
  6. Submit a pull request

📄 License

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

🙏 Acknowledgments

📞 Support

  • Create an issue for bug reports or feature requests
  • Check existing issues before creating new ones
  • Provide detailed information about your environment when reporting issues
-
security - not tested
F
license - not found
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quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A Model Context Protocol server that enables AI assistants to interact with Ceph storage clusters through natural language, making storage management more accessible and intuitive.

  1. 🚀 Features
    1. 📋 Prerequisites
      1. 🛠️ Installation
        1. 🏃‍♂️ Quick Start
          1. 🔧 Configuration
            1. Environment Variables
            2. Security Considerations
          2. 🎯 Available Tools
            1. get_cluster_health
            2. get_host_status
            3. get_health_details
            4. get_host_details
          3. 📊 Example Interactions
            1. Health Check
            2. Troubleshooting
          4. 🧪 Development
            1. Running Tests
            2. Code Quality
            3. Project Structure
          5. 🐛 Troubleshooting
            1. Common Issues
            2. Debugging
          6. 🤝 Contributing
            1. 📄 License
              1. 🙏 Acknowledgments
                1. 📞 Support

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