Other MCP Server · MODEL CONTEXT PROTOCOL
z9905080 mcp langfuse
z9905080 mcp langfuse is a community-listed Model Context Protocol server. Review the source repository before installation.
WHAT IT CONNECTS
What z9905080 mcp langfuse gives an AI Agent
The source catalog does not include a structured feature list. Review the repository documentation before use.
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.
README
Repository documentation
A Model Context Protocol (MCP) server implementation for integrating AI assistants with Langfuse workspaces.
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
# Install from npm
npm install shouting-mcp-langfuse
# Or install globally
npm install -g shouting-mcp-langfuseYou can find the package on npm: shouting-mcp-langfuse
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
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
# 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-langfuseimport { 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
// ...The server provides the following langfuse integration tools:
getLLMMetricsByTimeRange: Get LLM Metrics by Time Range
ISC
COMMUNITY