MCP Server

@dimahike

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

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.

MCP Server の設定

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

MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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

よくある質問

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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