Langfuse
Connects AI models to Langfuse analytics workspaces for querying LLM performance metrics. Requires Langfuse project setup with public/private keys.
Connects AI models to Langfuse analytics workspaces, enabling access to LLM performance metrics by time range for monitoring and analysis.
What it does
- Query LLM metrics by time range
- Connect to Langfuse workspaces
- Access performance analytics data
- Retrieve model execution metrics
Best for
About Langfuse
Langfuse is a community-built MCP server published by z9905080 that provides AI assistants with tools and capabilities via the Model Context Protocol. Monitor LLM performance with Langfuse: advanced ai data analytics and data analysis ai for actionable insights and impro It is categorized under ai ml, analytics data.
How to install
You can install Langfuse in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Langfuse is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
MCP Server for langfuse
A Model Context Protocol (MCP) server implementation for integrating AI assistants with Langfuse workspaces.
Overview
This package provides an MCP server that enables AI assistants to interact with Langfuse workspaces. It allows AI models to:
- Query LLM Metrics by Time Range
Installation
# Install from npm
npm install shouting-mcp-langfuse
# Or install globally
npm install -g shouting-mcp-langfuse
You can find the package on npm: shouting-mcp-langfuse
Prerequisites
Before using the server, you need to create a Langfuse project and obtain your project's public and private keys. You can find these keys in the Langfuse dashboard.
- set up a Langfuse project
- get the public and private keys
- set the environment variables
Configuration
The server requires the following environment variables:
LANGFUSE_DOMAIN: The Langfuse domain (default:https://api.langfuse.com)LANGFUSE_PUBLIC_KEY: Your Langfuse Project Public KeyLANGFUSE_PRIVATE_KEY: Your Langfuse Project Private Key
Usage
Running as a CLI Tool
# Set environment variables
export LANGFUSE_DOMAIN="https://api.langfuse.com"
export LANGFUSE_PUBLIC_KEY="your-public-key"
export LANGFUSE_PRIVATE_KEY="your-private
# Run the server
mcp-server-langfuse
Using in Your Code
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { langfuseClient } from "shouting-mcp-langfuse";
// Initialize the server and client
const server = new Server({...});
const langfuseClient = new LangfuseClient(process.env.LANGFUSE_DOMAIN, process.env.LANGFUSE_PUBLIC_KEY, process.env.LANGFUSE_PRIVATE_KEY);
// Register your custom handlers
// ...
Available Tools
The server provides the following langfuse integration tools:
getLLMMetricsByTimeRange: Get LLM Metrics by Time Range
License
ISC
Author
Repository
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