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MCP Server

@dimahike

MCP Server について

A middleware server that acts as a bridge between Cursor IDE and AI models, validating AI responses using project context and Gemini.

基本情報

カテゴリ

開発者ツール

ランタイム

node

トランスポート

stdio

公開者

dimahike

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Server?

MCP Server is a middleware server that acts as a bridge between Cursor IDE and AI models, validating AI responses using project context and the Gemini API. It is intended for developers using Cursor IDE who want to ensure AI-generated code or suggestions are consistent with their project’s context.

How to use MCP Server?

Clone the repository, install dependencies with npm install, create a .env file with your Gemini API key and configuration options, build the project with npm run build, and start the server with npm start. For development with hot-reloading use npm run dev. A local deployment script (./scripts/deploy-local.sh) is also provided for streamlined setup.

Key features of MCP Server

  • Project context management
  • AI response validation
  • Integration with Gemini API
  • Real‑time context updates
  • Comprehensive logging system
  • Easy local deployment

Use cases of MCP Server

  • Validate AI responses against current project context
  • Manage real‑time context updates inside Cursor IDE
  • Bridge Cursor IDE with Gemini‑powered AI models

FAQ from MCP Server

What are the prerequisites for MCP Server?

Node.js v14+ recommended, npm or yarn, a Google Cloud account for Gemini API access, a Gemini API key, and Cursor IDE.

How do I obtain a Gemini API key?

The README does not detail how to obtain the key, but it states you need a Google Cloud account and a Gemini API key to use the server.

How do I deploy the server locally?

Use the provided script ./scripts/deploy-local.sh, which checks for a .env file, installs dependencies, builds the project, and starts the server in production mode. Alternatively follow the manual steps: npm install, npm run build, npm start.

What API endpoints does MCP Server expose?

GET /api/health for health checks, POST /api/context/initialize and /api/context/refresh for context management, and POST /api/validate and /api/cursor/validate for AI response validation.

Where are server logs stored?

Logs are saved in the logs/ directory, as shown in the project structure.

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