Langfuse
Integrates with
Langfuse
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