A Go-based server implementation for the Model Context Protocol (MCP) with Grafana Tempo integration.
A Go-based server implementation for the Model Context Protocol (MCP) with Grafana Tempo integration.
This MCP server allows AI assistants to query and analyze distributed tracing data from Grafana Tempo. It follows the Model Context Protocol to provide tool definitions that can be used by compatible AI clients such as Claude Desktop.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"temposerver": {
"command": "path/to/tempo-mcp-server",
"args": [],
"env": {
"TEMPO_URL": "http://localhost:3200"
},
"disabled": false,
"autoApprove": ["tempo_query"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| TEMPO_URL | Endpoint or connection string the server talks to. | Yes |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
MCP server for Liongard — inspectors, environments, metrics, detections, and timeline data.
24 AI-callable tools for API testing, mocking, monitoring, security, and automation — directly from your AI assistant.
API 200 is an open source API gateway to simplify 3rd-party integrations. Import endpoints, set up caching, retries, and mocks. Access all services
Public read-only demo of Netmon's network monitoring tools over a recorded snapshot.