mcp-croit-ceph
Model Context Protocol (MCP) server for croit Ceph cluster management. Dynamically generates tools from the extensive croit OpenAPI specifications.
Documentation
MCP Croit Ceph
> AI-powered management for Croit Ceph clusters via the Model Context Protocol (MCP)
Connect your AI assistant (like Claude) directly to your Croit Ceph cluster for intelligent cluster management, troubleshooting, and monitoring.
What is this?
An MCP server that gives AI assistants access to your Croit Ceph cluster's REST API. Ask your AI to:
- "Show me all pools with errors"
- "List OSDs on server node-5"
- "Search logs for slow requests in the last hour"
- "What's the cluster health status?"
The AI can then interact with your cluster through natural language.
Key Features
🚀 Smart & Efficient
- Automatic token optimization - Responses optimized to save 80-95% on AI token costs
- Field selection - Request only the data you need (e.g., just id + name)
- Built-in filtering - grep-like search without multiple API calls
- Intelligent summaries - Large datasets get smart summaries with drill-down capability
🔍 Advanced Log Search
- Native VictoriaLogs integration for powerful log analysis
- Natural language queries: "Find OSD failures in the last 24 hours"
- Pattern detection and anomaly identification
- Pre-built debug templates for common issues
🛡️ Production Ready
- Role-based access control (ADMIN vs VIEWER)
- Automatic API discovery from your cluster
- Docker support with included OpenAPI spec
- Comprehensive error handling
Quick Start
Using Docker (Recommended)
docker run --rm -i \
-e CROIT_HOST="https://your-cluster.com" \
-e CROIT_API_TOKEN="your-api-token" \
croit/mcp-croit-ceph:latestWith Claude Desktop
Add to `~/.config/claude/claude_desktop_config.json`:
Basic configuration (fetches OpenAPI spec on startup):
{
"mcpServers": {
"croit-ceph": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "CROIT_HOST=http://your-cluster.croit.io:8080",
"-e", "CROIT_API_TOKEN=your-api-token-here",
"croit/mcp-croit-ceph:latest"
]
}
}
}Optimized configuration (recommended - 2s startup instead of 5s):
{
"mcpServers": {
"croit-ceph": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-v", "/absolute/path/to/openapi.json:/config/openapi.json:ro",
"-e", "CROIT_HOST=http://your-cluster.croit.io:8080",
"-e", "CROIT_API_TOKEN=your-api-token-here",
"-e", "OPENAPI_FILE=/config/openapi.json",
"croit/mcp-croit-ceph:latest"
]
}
}
}With debug logging:
{
"mcpServers": {
"croit-ceph": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "CROIT_HOST=http://your-cluster.croit.io:8080",
"-e", "CROIT_API_TOKEN=your-api-token-here",
"-e", "LOG_LEVEL=DEBUG",
"croit/mcp-croit-ceph:latest"
]
}
}
}Note: Volume mounts require absolute paths (not `~/`). To download the OpenAPI spec:
curl -H "Authorization: Bearer YOUR_TOKEN" \
http://your-cluster.croit.io:8080/api/swagger.json > openapi.jsonRestart Claude Desktop after changing the configuration.
Configuration
Required Environment Variables
CROIT_HOST="https://your-cluster.com" # Your Croit cluster URL
CROIT_API_TOKEN="your-api-token" # API token from CroitOptional Environment Variables
# Use local OpenAPI spec for faster startup (2s vs 5s)
OPENAPI_FILE="/config/openapi.json"
# Use bundled spec (no external fetch, for offline/dev)
USE_INCLUDED_API_SPEC="true"
# Logging verbosity: DEBUG, INFO, WARNING, ERROR
LOG_LEVEL="INFO"
# Pass additional CLI arguments
MCP_ARGS="--no-permission-check --max-category-tools 5"See `.env.example` for docker usage template.
Getting an API Token
1. Log into your Croit cluster web interface
2. Go to Settings → API Tokens
3. Create a new token with appropriate permissions
4. Copy the token and use it in your configuration
Example AI Conversations
Check cluster health:
You: "What's the current cluster status?"
AI: Calls list_endpoints → Finds status endpoint → Returns health summaryFind problems:
You: "Show me all pools with errors"
AI: Calls /pools with fields=["id","name","status"] and filter for errors
Returns only the 3 pools with issues (instead of all 100 pools)Debug issues:
You: "Search logs for OSD failures in the last hour"
AI: Uses croit_log_search with smart query parsing
Returns summary + drill-down capability for detailsCapacity planning:
You: "Which pools are over 80% full?"
AI: Gets pools → Filters by usage → Returns list with recommendationsFeatures in Detail
Token Optimization
The server automatically reduces AI token consumption:
| Without Optimization | With Optimization | Savings |
|---|---|---|
| 100 pools, all fields → 4,000 tokens | 100 pools, id+name → 300 tokens | 92% |
| 500 OSDs, full data → 15,000 tokens | Smart summary → 1,000 tokens | 93% |
How it works:
1. Field Selection: Request only needed fields
2. Smart Summaries: Large datasets get summaries with drill-down
3. Caching: Repeated requests use cached data
4. Auto-limiting: Sensible defaults prevent token explosions
Available Tools
The AI has access to these tools:
Core Tools:
- `list_endpoints` - Discover available API endpoints
- `call_endpoint` - Make API calls with optimization
- `search_last_result` - Drill down into large responses
Category Tools (auto-generated):
- `manage_services` - Ceph services
- `manage_pools` - Storage pools
- `manage_servers` - Cluster servers
- `manage_s3` - S3 buckets
- And more...
Log Search:
- `croit_log_search` - Advanced log analysis
- `croit_log_check` - Quick log condition checks
Advanced Usage
Local Development
# Clone repository
git clone https://github.com/croit/mcp-croit-ceph.git
cd mcp-croit-ceph
# Create virtual environment
python3 -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
# Run directly
export CROIT_HOST="https://your-cluster.com"
export CROIT_API_TOKEN="your-token"
python mcp-croit-ceph.pyUsing Local OpenAPI Spec
For faster startup or offline development:
# Download spec from your cluster
curl -H "Authorization: Bearer $CROIT_API_TOKEN" \
https://your-cluster/api/swagger.json > openapi.json
# Use local spec
python mcp-croit-ceph.py --openapi-file openapi.jsonCommand Line Options
python mcp-croit-ceph.py \
--openapi-file openapi.json \ # Use local OpenAPI spec
--no-permission-check \ # Skip role check (faster)
--max-category-tools 5 # Limit category toolsPermissions & Security
The server respects your API token's role:
- ADMIN: Full access to all operations
- VIEWER: Read-only access (no create/delete/update)
- Invalid token: Server exits with error
Admin-only categories: `maintenance`, `servers`, `config`, `hooks`
Troubleshooting
Token not working:
- Verify token in Croit web interface
- Check token hasn't expired
- Ensure token has correct permissions
Connection issues:
- Verify `CROIT_HOST` is correct (include https://)
- Check network connectivity to cluster
- Verify firewall allows connection
No tools showing:
- Check Docker logs for errors
- Verify OpenAPI spec is valid
- Try `--no-permission-check` to test
Enable debug logging:
export LOG_LEVEL=DEBUG
python mcp-croit-ceph.pyDocumentation
- **Architecture** - Technical architecture and design
- **Token Optimization** - How optimization works
- **Claude Integration** - Tips for using with Claude
Contributing
Contributions welcome! Please:
1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run `black` formatter on Python files
5. Submit a pull request
License
See LICENSE for details
Support
- Issues: GitHub Issues
- Croit Support: For cluster-specific questions
- MCP Protocol: Model Context Protocol Documentation
Made with ❤️ for the Ceph community
Frequently asked questions
What is mcp-croit-ceph?
mcp-croit-ceph is Model Context Protocol (MCP) server for croit Ceph cluster management. Dynamically generates tools from the extensive croit OpenAPI specifications.
How do I install mcp-croit-ceph?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is mcp-croit-ceph open source?
Yes — it is hosted on GitHub at https://github.com/croit/mcp-croit-ceph and has 1 stars.
Related MCP tools
🙌 OpenHands: Code Less, Make More for the Model Context Protocol. Enhance AI assistants with powerful integrations. Python-based implementation.
Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management. Python-based implementation.
基于大模型搭建的聊天机器人,同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入,可选择ChatGPT/Claude/DeepSeek/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Kimi/LinkAI,能处理文本、语音和图片,访问操作系统和互联网,支持基于自有知识库进行定制企业智能客服。
An LLM agent that conducts deep research (local and web) on any given topic and generates a long report with citations. Built for the Model Context Protocol to
🚀 The fast, Pythonic way to build MCP servers and clients Trusted by 19900+ developers. Trusted by 19900+ developers. Trusted by 19900+ developers.
🔥 MaxKB is an open-source platform for building enterprise-grade agents. MaxKB 是强大易用的开源企业级智能体平台。 for the Model Context Protocol. Enhance AI assistants with po
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP