The mcp-server provides observability tools for monitoring and managing AI systems. It exposes metrics collection, log aggregation, and alerting functionalities. It connects to Volcengine's cloud infrastructure and integrates with Prometheus for metrics and Grafana for visualization. Developers use it to track AI model performance, debug issues, and maintain system health.
The mcp-server provides observability tools for monitoring and managing AI systems. It exposes metrics collection, log aggregation, and alerting functionalities. It connects to Volcengine's cloud infrastructure and integrates with Prometheus for metrics and Grafana for visualization. Developers use it to track AI model performance, debug issues, and maintain system health.
pip install mcp-serverAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"volcengine-mcp-server-github": {
"command": "uvx",
"args": [
"pip install mcp-server"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp-server?"
API Key Required
This server requires an API key from mcp-server. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| MCP-SERVER_API_KEY | Yes | Your mcp-server API key |
"What resources are available in mcp-server?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp-server"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp-server with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.