Langfuse Server
An MCP server implementation that integrates AI assistants with Langfuse workspaces, allowing models to query LLM metrics by time range.
What is Langfuse Server?
Langfuse Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server implementation that integrates ai assistants with langfuse workspaces, allowing models to query llm metrics by time range.
An MCP server implementation that integrates AI assistants with Langfuse workspaces, allowing models to query LLM metrics by time range.
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An MCP server implementation that integrates AI assistants w
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-server-for-langfuseConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Langfuse Server
What is Langfuse Server?
Langfuse Server is a Model Context Protocol (MCP) server that mcp server implementation that integrates ai assistants with langfuse workspaces, allowing models to query llm metrics by time range. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Langfuse Server?
Follow the installation instructions on the Langfuse Server GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Langfuse Server?
Langfuse Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Langfuse Server free to use?
Yes, Langfuse Server is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.
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Set Up Langfuse Server in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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