feat: add mcp-servers/**
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mcp-servers/grafana/README.md
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mcp-servers/grafana/README.md
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# Grafana MCP Server
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Grafana MCP Server provides integration with Grafana monitoring and visualization platform through the Model Context Protocol.
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## Features
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- 📊 **Dashboard Management** - Create and manage dashboards
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- 📈 **Query Datasources** - Query data sources
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- 🔍 **Search Dashboards** - Search dashboards
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- 🚨 **Incident Investigation** - Investigate incidents
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- 📉 **Metrics Analysis** - Analyze metrics
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- 🎨 **Visualization** - Data visualization
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## Architecture
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The service consists of two containers:
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- **mcp-grafana**: MCP server providing AI interaction interface with Grafana
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- **grafana**: Grafana instance
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## Environment Variables
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| Variable | Default | Description |
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| --------------------------- | ----------------------- | ---------------------------------------- |
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| `MCP_GRAFANA_VERSION` | `latest` | MCP Grafana image version |
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| `GRAFANA_VERSION` | `latest` | Grafana version |
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| `MCP_GRAFANA_PORT_OVERRIDE` | `8000` | MCP service port |
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| `GRAFANA_PORT_OVERRIDE` | `3000` | Grafana port |
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| `GRAFANA_URL` | `http://grafana:3000` | Grafana instance URL |
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| `GRAFANA_API_KEY` | - | Grafana API key (required) |
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| `GRAFANA_ADMIN_USER` | `admin` | Admin username |
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| `GRAFANA_ADMIN_PASSWORD` | `admin` | Admin password (⚠️ change in production!) |
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| `GRAFANA_INSTALL_PLUGINS` | - | Plugins to install (comma-separated) |
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| `GRAFANA_ROOT_URL` | `http://localhost:3000` | Grafana root URL |
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| `TZ` | `UTC` | Timezone |
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## Quick Start
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### 1. Configure Environment
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Create a `.env` file:
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```env
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MCP_GRAFANA_VERSION=latest
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GRAFANA_VERSION=latest
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MCP_GRAFANA_PORT_OVERRIDE=8000
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GRAFANA_PORT_OVERRIDE=3000
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GRAFANA_ADMIN_USER=admin
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GRAFANA_ADMIN_PASSWORD=your_secure_password
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GRAFANA_ROOT_URL=http://localhost:3000
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TZ=Asia/Shanghai
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```
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### 2. Start Services
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```bash
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docker compose up -d
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```
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### 3. Get API Key
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1. Visit Grafana: <http://localhost:3000>
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2. Login with admin credentials
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3. Navigate to **Configuration** → **API Keys**
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4. Create a new API key
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5. Add the key to `.env` file: `GRAFANA_API_KEY=your_key_here`
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6. Restart mcp-grafana service: `docker compose restart mcp-grafana`
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### 4. Verify Services
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```bash
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# Verify MCP service
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curl http://localhost:8000/health
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# Verify Grafana service
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curl http://localhost:3000/api/health
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```
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## Resource Requirements
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- **MCP Service**: 128MB-512MB memory, 0.25-1.0 CPU
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- **Grafana**: 256MB-1GB memory, 0.5-2.0 CPU
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## Common Use Cases
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1. **Dashboard Search** - Find dashboards using natural language
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2. **Data Queries** - Query metric data from data sources
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3. **Alert Management** - View and manage alert rules
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4. **Visualization Creation** - Create new visualization panels
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5. **Incident Analysis** - Investigate and analyze monitoring events
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## Security Recommendations
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⚠️ **Important**: In production environments:
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1. Change default admin password
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2. Use strong passwords and secure API keys
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3. Enable HTTPS/TLS encryption
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4. Restrict network access
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5. Rotate API keys regularly
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6. Set appropriate user permissions
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## Data Persistence
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- `grafana_data`: Grafana data directory
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- `grafana_config`: Grafana configuration directory
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- `grafana_logs`: Grafana logs directory
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## References
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- [Grafana Official Site](https://grafana.com/)
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- [Grafana API Documentation](https://grafana.com/docs/grafana/latest/developers/http_api/)
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- [MCP Documentation](https://modelcontextprotocol.io/)
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- [Docker Hub - grafana/grafana](https://hub.docker.com/r/grafana/grafana)
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## License
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MIT License
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