一个模型上下文协议（MCP）服务器，通过可流式 HTTP 传输提供 Google Scholar 搜索功能。本项目演示如何利用自定义工具构建 MCP 服务器，并将其与 Google Gemini 等 AI 模型集成。

概述

该项目由两个主要组成部分组成：

• MCP 服务器：通过 HTTP 端点提供 Google Scholar 搜索工具
• MCP 客户端：集成 Google Gemini AI 以处理查询和呼叫工具

建筑

MCP服务器实现

服务器使用 @modelcontextprotocol/sdk 构建，并实现：

• Transport：用于基于HTTP的可流式HTTPServerTransport通信
• 会话管理：支持多个同时连接的会话ID
• 工具系统：可扩展的工具注册与执行框架
• 错误处理：全面的错误响应和日志记录

可用工具

服务器目前提供一个主要工具：

search_google_scholar

• 描述：在谷歌学术中搜索学术论文和研究
• 参数：可配置的搜索参数（查询、筛选等）
• 返回：结构化搜索结果，附有论文细节

Google Scholar MCP Server

A Model Context Protocol (MCP) server that provides Google Scholar search capabilities through a streamable HTTP transport. This project demonstrates how to build an MCP server with custom tools and integrate it with AI models like Google’s Gemini.

Overview

This project consists of two main components:

• MCP Server: Provides Google Scholar search tools via HTTP endpoints
• MCP Client: Integrates with Google Gemini AI to process queries and call tools

Architecture

MCP Server Implementation

The server is built using the @modelcontextprotocol/sdk and implements:

• Transport: StreamableHTTPServerTransport for HTTP-based communication
• Session Management: Supports multiple simultaneous connections with session IDs
• Tool System: Extensible tool registration and execution framework
• Error Handling: Comprehensive error responses and logging

Available Tools

The server currently provides one main tool:

search_google_scholar

• Description: Search Google Scholar for academic papers and research
• Parameters: Configurable search parameters (query, filters, etc.)
• Returns: Structured search results with paper details

Transport Protocol

The server uses StreamableHTTPServerTransport which supports:

• HTTP POST: For sending requests and receiving responses
• HTTP GET: For establishing Server-Sent Events (SSE) streams
• Session Management: Persistent connections with unique session IDs
• Real-time Notifications: Streaming updates via SSE

Smithery

The server is now available in Smithery: Google Scholar Search Server

Installation

Installing via Smithery

To install google-scholar-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @mochow13/google-scholar-mcp --client claude

1. Clone the repository:

git clone 
cd google-scholar-mcp

2. Install and build:

cd server
npm install
npm run build

cd client
npm install
npm run build

Running the Server

1. Start the MCP server:

cd server
node build/index.js

The server will start on port 3000 and provide the following endpoints:

• POST /mcp - Main MCP communication endpoint
• GET /mcp - SSE stream endpoint for real-time updates

Server Features

• Multi-session Support: Handle multiple clients simultaneously
• Graceful Shutdown: Proper cleanup on SIGINT
• Logging: Comprehensive request/response logging
• Error Handling: Structured JSON-RPC error responses

Running the Client

The client demonstrates how to integrate the MCP server with Google’s Gemini AI model.