Loki MCP Server is a Go implementation of a Model Context Protocol server that gives AI assistants access to log data stored in Grafana Loki. Its single tool, loki_query, takes a LogQL query string as the only required parameter and accepts optional url, start, end, limit and org arguments, defaulting to the last hour, a limit of one hundred entries and the Loki instance named by the LOKI_URL environment variable or http://localhost:3100. Configuration can also come entirely from the environment: LOKI_URL for the server address, LOKI_ORG_ID for the tenant sent as the X-Scope-OrgID header in multi-tenant setups, LOKI_USERNAME and LOKI_PASSWORD for basic authentication, and LOKI_TOKEN for bearer token authentication. The README notes that token-based authentication is preferable to a username and password and warns against leaking credentials through logs or config files. The server speaks two transports. The default is stdin and stdout, which suits Claude Desktop and other MCP clients that launch a local process; the alternative is an HTTP server that exposes an SSE endpoint at /sse and an MCP endpoint at /mcp on port 8080 by default, configurable through SSE_PORT, which the README uses to integrate the server with n8n workflows through the MCP Client Tools node. The layout is conventional for a Go project: cmd/server holds the server, cmd/client holds a test client that can issue loki_query calls from the shell, internal/handlers holds the tool handler in loki.go, and internal/models holds the data types. A Dockerfile and a Docker Compose stack are provided, the latter bringing up Loki, Grafana with Loki preconfigured as a data source, a log generator and the MCP server, together with shell scripts to insert dummy logs and to run test queries. Claude Desktop can be wired to the binary, a shell script or the Docker image.
https://github.com/grafana/loki-mcp
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