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z9905080

MCP Server for langfuse

by z9905080

langfuse 的 MCP 服务器

npm 版本

用于将 AI 助手与 Langfuse 工作区集成的模型上下文协议 (MCP) 服务器实现。

概述

此软件包提供了一个 MCP 服务器,使 AI 助手能够与 Langfuse 工作区交互。它允许 AI 模型执行以下操作:

  • 按时间范围查询 LLM 指标

Related MCP server: langfuse-mcp-extended

安装

# Install from npm
npm install shouting-mcp-langfuse

# Or install globally
npm install -g shouting-mcp-langfuse

您可以在 npm 上找到该软件包: shouting-mcp-langfuse

先决条件

在使用服务器之前,您需要创建一个 Langfuse 项目并获取项目的公钥和私钥。您可以在 Langfuse 仪表板中找到这些密钥。

  1. 建立一个 Langfuse 项目

  2. 获取公钥和私钥

  3. 设置环境变量

配置

服务器需要以下环境变量:

  • LANGFUSE_DOMAIN :Langfuse 域名(默认值: https://api.langfuse.com

  • LANGFUSE_PUBLIC_KEY :你的 Langfuse 项目公钥

  • LANGFUSE_PRIVATE_KEY :您的 Langfuse 项目私钥

用法

作为 CLI 工具运行

# 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

在代码中使用

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
// ...

可用工具

服务器提供以下 langfuse 集成工具:

  • getLLMMetricsByTimeRange :按时间范围获取 LLM 指标

执照

国际学习中心

作者

shouting.hsiao@gmail.com

存储库

https://github.com/z9905080/mcp-langfuse

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