langfuse-observability-mcp
by Sesame2 · ai-ml · mcp-server, glama
A read-only MCP server that enables agents to query and analyze Langfuse observability data, including traces, sessions, observations, scores, and metrics.
Source: https://github.com/Sesame2/langfuse-mcp
Install
git clone https://github.com/Sesame2/langfuse-mcpUse this forAI-extracted
- →Track and log LLM function calls and responses to Langfuse for observability
- →Instrument AI agent conversations with structured tracing and monitoring data
- →Analyze token usage and performance metrics across multiple LLM invocations
Works with
Tags: mcp-server, glama
Source: glama
About ai-ml MCP servers and Claude skills
ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
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Frequently asked questions
How do I install langfuse-observability-mcp?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support langfuse-observability-mcp?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is langfuse-observability-mcp free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.