What authentication methods does the server support?
Basic authentication (username/password) and bearer token, both optional per request.
@scottlepp
基本信息
An MCP ( Model Context Protocol ) Server for Grafana Tempo
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"tempo-mcp-server-scottlepp": {
"command": "docker",
"args": [
"build",
"-t",
"tempo-mcp-server",
"."
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Go-based server that implements the Model Context Protocol (MCP) to allow AI assistants to query and analyze distributed tracing data from Grafana Tempo. It is designed for developers and operators using AI clients like Claude Desktop, Cursor, or n8n.
Build with go build -o tempo-mcp-server ./cmd/server and run via stdin/stdout or as an HTTP/SSE server (default port 8080, configurable via SSE_PORT). Configure a client (e.g., Claude Desktop) by adding the server’s command or Docker image to its MCP configuration, then invoke the tempo_query tool with a Tempo query string and optional parameters.
tempo_query tool for querying Grafana Tempo tracesTEMPO_URL environment variableBasic authentication (username/password) and bearer token, both optional per request.
Standard input/output (stdin/stdout) following MCP, and an HTTP server with SSE endpoint for tools like n8n.
Go 1.21 or higher; Docker and Docker Compose for local testing are optional.
The server connects to a Grafana Tempo instance specified via the `TEMPO_URL` environment variable or the `url` parameter in each query. No local data is stored.
If not specified, `start` defaults to 1 hour ago and `end` defaults to the current time.

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