[{"_1":2,"_589":-5,"_590":-5},"loaderData",{"_3":4,"_22":23,"_24":25,"_409":410},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":17,"_18":-5,"_19":20,"_21":-5},"attributes",[15],"BOT","id",8549669,"membership","referenceId","0197a9a3-67a2-72ce-b0b5-6134e47817bd","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_68":-5,"_69":28,"_29":70,"_327":328,"_407":408},"availableLocales",[28,40,47,54,61],{"_29":30,"_33":37,"_38":39},"mcpServer",{"_31":32,"_33":34,"_35":36},"description","A template for creating custom tools for Cursor IDE using Model Context Protocol (MCP), allowing developers to extend Cursor's functionality with their own server-based tools.","name","MCP Server Template for Cursor IDE","readme","# MCP Server Template for Cursor IDE\n\nA simple template for creating custom tools for Cursor IDE using Model Context Protocol (MCP). Create your own repository from this template, modify the tools, and connect them to your Cursor IDE.\n\n![Server Mood Response](docs/images/server-mood.png)\n\n## Quick Start\n\n1. Click \"Deploy to Heroku\" button\n\n [![Deploy to Heroku](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy?template=https://github.com/kirill-markin/weaviate-mcp-server)\n\n2. After deployment, configure Cursor:\n - Open Cursor Settings → Features\n - Add new MCP server\n - Use your Heroku URL with `/sse` path (e.g., `https://.herokuapp.com/sse`)\n\n3. Test your agent's mood in Cursor:\n - Ask your agent \"Please ask about our server mood and let me know how it is.\"\n - The server will respond with a cheerful message and a heart ❤️\n\n## Alternative Setup Methods\n\nYou can run the server in three ways: using Docker, traditional Python setup, or directly in Cursor IDE.\n\n### Docker Setup\n\nThe project includes Docker support for easy deployment:\n\n1. Initial setup:\n```bash\n# Clone the repository\ngit clone https://github.com/kirill-markin/weaviate-mcp-server.git\ncd weaviate-mcp-server\n\n# Create environment file\ncp .env.example .env\n```\n\n2. Build and run using Docker Compose:\n```bash\n# Build and start the server\ndocker compose up --build -d\n\n# View logs\ndocker compose logs -f\n\n# Check server status\ndocker compose ps\n\n# Stop the server\ndocker compose down\n```\n\n3. The server will be available at:\n - SSE endpoint: http://localhost:8000/sse\n\n4. Quick test:\n```bash\n# Test the server endpoint\ncurl -i http://localhost:8000/sse\n```\n\n5. Connect to Cursor IDE:\n - Open Cursor Settings → Features\n - Add new MCP server\n - Type: Select \"sse\"\n - URL: Enter `http://localhost:8000/sse`\n\n### Traditional Setup\n\nFirst, install the uv package manager:\n\n```bash\n# Install uv on macOS\nbrew install uv\n# Or install via pip (any OS)\npip install uv\n```\n\nStart the server using either stdio (default) or SSE transport:\n\n```bash\n# Install the package with development dependencies\nuv pip install -e \".[dev]\"\n\n# Using stdio transport (default)\nuv run mcp-hitchcode\n\n# Using SSE transport on custom port\nuv run mcp-hitchcode --transport sse --port 8000\n\n# Run tests\nuv run pytest -v\n```\n\nAfter installation, you can connect the server directly to Cursor IDE:\n\n1. Right-click on the `cursor-run-mcp-server.sh` file in Cursor\n2. Select \"Copy Path\" to copy the absolute path\n3. Open Cursor Settings (gear icon)\n4. Navigate to Features tab\n5. Scroll down to \"MCP Servers\"\n6. Click \"Add new MCP server\"\n7. Fill in the form:\n - Name: Choose any name (e.g., \"my-mcp-server-1\")\n - Type: Select \"stdio\" (not \"sse\" because we run the server locally)\n - Command: Paste the absolute path to `cursor-run-mcp-server.sh` that you copied earlier. For example: `/Users/kirillmarkin/weaviate-mcp-server/cursor-run-mcp-server.sh`\n\n### Environment Variables\n\nAvailable environment variables (can be set in `.env`):\n\n- `MCP_SERVER_PORT` (default: 8000) - Port to run the server on\n- `MCP_SERVER_HOST` (default: 0.0.0.0) - Host to bind the server to\n- `DEBUG` (default: false) - Enable debug mode\n- `MCP_USER_AGENT` - Custom User-Agent for website fetching\n\n## Additional options\n\n### Installing via Smithery\n\n[![smithery badge](https://smithery.ai/badge/@kirill-markin/example-mcp-server)](https://smithery.ai/server/@kirill-markin/example-mcp-server)\n\nTo install MCP Server Template for Cursor IDE for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@kirill-markin/example-mcp-server):\n\n```bash\nnpx -y @smithery/cli install @kirill-markin/example-mcp-server --client claude\n```\n\n### Glama server review\n\n $\"Server$ \n\n","English","tag","en-US",{"_29":41,"_33":45,"_38":46},{"_31":42,"_33":43,"_35":44},"Una plantilla para crear herramientas personalizadas para Cursor IDE utilizando el Protocolo de contexto de modelo (MCP), que permite a los desarrolladores ampliar la funcionalidad de Cursor con sus propias herramientas basadas en servidor.","Plantilla de servidor MCP para Cursor IDE","# Plantilla de servidor MCP para Cursor IDE\n\nUna plantilla sencilla para crear herramientas personalizadas para Cursor IDE mediante el Protocolo de Contexto de Modelo (MCP). Cree su propio repositorio a partir de esta plantilla, modifique las herramientas y conéctelas a su Cursor IDE.\n\n![Respuesta del estado de ánimo del servidor](docs/images/server-mood.png)\n\n## Inicio rápido\n\n1. Haga clic en el botón \"Implementar en Heroku\".\n\n [![Implementar en Heroku](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy?template=https://github.com/kirill-markin/weaviate-mcp-server)\n\n2. Después de la implementación, configure Cursor:\n\n * Abrir Configuración del cursor → Características\n * Agregar nuevo servidor MCP\n * Utilice su URL de Heroku con la ruta `/sse` (por ejemplo, `https://.herokuapp.com/sse` )\n\n3. Pon a prueba el estado de ánimo de tu agente en Cursor:\n\n * Pregúntele a su agente: \"Por favor, pregunte sobre el estado de ánimo de nuestro servidor y déjeme saber cómo está\".\n * El servidor responderá con un mensaje alegre y un corazón ❤️\n\n## Métodos de configuración alternativos\n\nPuede ejecutar el servidor de tres maneras: usando Docker, la configuración tradicional de Python o directamente en Cursor IDE.\n\n### Configuración de Docker\n\nEl proyecto incluye soporte para Docker para una fácil implementación:\n\n1. Configuración inicial:\n\n```bash\n# Clone the repository\ngit clone https://github.com/kirill-markin/weaviate-mcp-server.git\ncd weaviate-mcp-server\n\n# Create environment file\ncp .env.example .env\n```\n\n2. Construya y ejecute usando Docker Compose:\n\n```bash\n# Build and start the server\ndocker compose up --build -d\n\n# View logs\ndocker compose logs -f\n\n# Check server status\ndocker compose ps\n\n# Stop the server\ndocker compose down\n```\n\n3. El servidor estará disponible en:\n\n * Punto final SSE: \n\n4. Prueba rápida:\n\n```bash\n# Test the server endpoint\ncurl -i http://localhost:8000/sse\n```\n\n5. Conectarse a Cursor IDE:\n * Abrir Configuración del cursor → Características\n * Agregar nuevo servidor MCP\n * Tipo: Seleccione \"sse\"\n * URL: Ingrese `http://localhost:8000/sse`\n\n### Configuración tradicional\n\nPrimero, instale el administrador de paquetes uv:\n\n```bash\n# Install uv on macOS\nbrew install uv\n# Or install via pip (any OS)\npip install uv\n```\n\nInicie el servidor utilizando stdio (predeterminado) o el transporte SSE:\n\n```bash\n# Install the package with development dependencies\nuv pip install -e \".[dev]\"\n\n# Using stdio transport (default)\nuv run mcp-hitchcode\n\n# Using SSE transport on custom port\nuv run mcp-hitchcode --transport sse --port 8000\n\n# Run tests\nuv run pytest -v\n```\n\nDespués de la instalación, puede conectar el servidor directamente a Cursor IDE:\n\n1. Haga clic derecho en el archivo `cursor-run-mcp-server.sh` en Cursor\n2. Seleccione \"Copiar ruta\" para copiar la ruta absoluta\n3. Abrir la configuración del cursor (icono de engranaje)\n4. Vaya a la pestaña Características\n5. Desplácese hacia abajo hasta \"Servidores MCP\"\n6. Haga clic en \"Agregar nuevo servidor MCP\"\n7. Rellene el formulario:\n * Nombre: Elija cualquier nombre (por ejemplo, \"mi-servidor-mcp-1\")\n * Tipo: Seleccione \"stdio\" (no \"sse\" porque ejecutamos el servidor localmente)\n * Comando: Pegue la ruta absoluta de `cursor-run-mcp-server.sh` que copió anteriormente. Por ejemplo: `/Users/kirillmarkin/weaviate-mcp-server/cursor-run-mcp-server.sh`\n\n### Variables de entorno\n\nVariables de entorno disponibles (se pueden configurar en `.env` ):\n\n* `MCP_SERVER_PORT` (predeterminado: 8000): puerto donde se ejecutará el servidor\n* `MCP_SERVER_HOST` (predeterminado: 0.0.0.0): host al que vincular el servidor\n* `DEBUG` (predeterminado: falso): habilita el modo de depuración\n* `MCP_USER_AGENT` - Agente de usuario personalizado para la obtención de sitios web\n\n## Opciones adicionales\n\n### Instalación mediante herrería\n\n[![insignia de herrería](https://smithery.ai/badge/@kirill-markin/example-mcp-server)](https://smithery.ai/server/@kirill-markin/example-mcp-server)\n\nPara instalar automáticamente la plantilla de servidor MCP para Cursor IDE para Claude Desktop a través de [Smithery](https://smithery.ai/server/@kirill-markin/example-mcp-server) :\n\n```bash\nnpx -y @smithery/cli install @kirill-markin/example-mcp-server --client claude\n```\n\n### Análisis del servidor Glama","Spanish","es-ES",{"_29":48,"_33":52,"_38":53},{"_31":49,"_33":50,"_35":51},"モデルコンテキストプロトコル (MCP) を使用して Cursor IDE 用のカスタムツールを作成するためのテンプレート。開発者は、独自のサーバーベースのツールを使用して Cursor の機能を拡張できます。","カーソル IDE 用 MCP サーバーテンプレート","# カーソル IDE 用 MCP サーバーテンプレート\n\nモデルコンテキストプロトコル（MCP）を使用してCursor IDE用のカスタムツールを作成するためのシンプルなテンプレートです。このテンプレートから独自のリポジトリを作成し、ツールを変更してCursor IDEに接続します。\n\n![サーバーの気分反応](docs/images/server-mood.png)\n\n## クイックスタート\n\n1. 「Herokuにデプロイ」ボタンをクリックします\n\n [![Herokuへのデプロイ](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy?template=https://github.com/kirill-markin/weaviate-mcp-server)\n\n2. デプロイ後、カーソルを構成します。\n\n * カーソル設定を開く→機能\n * 新しいMCPサーバーを追加する\n * Heroku URL を`/sse`パスとともに使用します (例: `https://.herokuapp.com/sse` )\n\n3. カーソルでエージェントの気分をテストします。\n\n * エージェントに「サーバーの雰囲気についてお聞きして、どうなっているか教えてください」と依頼してください。\n * サーバーは明るいメッセージとハートで応答します❤️\n\n## 代替設定方法\n\nサーバーは、Docker を使用するか、従来の Python セットアップを使用するか、Cursor IDE で直接実行するかの 3 つの方法で実行できます。\n\n### Dockerのセットアップ\n\nこのプロジェクトには、簡単に導入できる Docker サポートが含まれています。\n\n1. 初期設定:\n\n```bash\n# Clone the repository\ngit clone https://github.com/kirill-markin/weaviate-mcp-server.git\ncd weaviate-mcp-server\n\n# Create environment file\ncp .env.example .env\n```\n\n2. Docker Compose を使用してビルドおよび実行します。\n\n```bash\n# Build and start the server\ndocker compose up --build -d\n\n# View logs\ndocker compose logs -f\n\n# Check server status\ndocker compose ps\n\n# Stop the server\ndocker compose down\n```\n\n3. サーバーは次の場所で利用できます:\n\n * SSEエンドポイント: \n\n4. クイックテスト:\n\n```bash\n# Test the server endpoint\ncurl -i http://localhost:8000/sse\n```\n\n5. カーソル IDE に接続します。\n * カーソル設定を開く→機能\n * 新しいMCPサーバーを追加する\n * タイプ: 「sse」を選択\n * URL: `http://localhost:8000/sse`と入力します\n\n### 従来のセットアップ\n\nまず、uv パッケージマネージャーをインストールします。\n\n```bash\n# Install uv on macOS\nbrew install uv\n# Or install via pip (any OS)\npip install uv\n```\n\nstdio (デフォルト) または SSE トランスポートのいずれかを使用してサーバーを起動します。\n\n```bash\n# Install the package with development dependencies\nuv pip install -e \".[dev]\"\n\n# Using stdio transport (default)\nuv run mcp-hitchcode\n\n# Using SSE transport on custom port\nuv run mcp-hitchcode --transport sse --port 8000\n\n# Run tests\nuv run pytest -v\n```\n\nインストール後、サーバーを Cursor IDE に直接接続できます。\n\n1. カーソル内の`cursor-run-mcp-server.sh`ファイルを右クリックします。\n2. 「パスをコピー」を選択して絶対パスをコピーします\n3. カーソル設定を開く（歯車アイコン）\n4. 機能タブに移動する\n5. 「MCPサーバー」までスクロールします。\n6. 「新しいMCPサーバーを追加」をクリックします\n7. フォームに記入してください:\n * 名前: 任意の名前を選択します (例: \"my-mcp-server-1\")\n * タイプ: 「stdio」を選択します (サーバーをローカルで実行するため、「sse」ではありません)\n * コマンド: 先ほどコピーした`cursor-run-mcp-server.sh`への絶対パスを貼り付けます。例: `/Users/kirillmarkin/weaviate-mcp-server/cursor-run-mcp-server.sh`\n\n### 環境変数\n\n利用可能な環境変数（ `.env`で設定できます）:\n\n* `MCP_SERVER_PORT` (デフォルト: 8000) - サーバーを実行するポート\n* `MCP_SERVER_HOST` (デフォルト: 0.0.0.0) - サーバーをバインドするホスト\n* `DEBUG` (デフォルト: false) - デバッグモードを有効にする\n* `MCP_USER_AGENT` - ウェブサイト取得用のカスタムユーザーエージェント\n\n## 追加オプション\n\n### Smithery経由でインストール\n\n[![鍛冶屋のバッジ](https://smithery.ai/badge/@kirill-markin/example-mcp-server)](https://smithery.ai/server/@kirill-markin/example-mcp-server)\n\n[Smithery](https://smithery.ai/server/@kirill-markin/example-mcp-server)経由で Claude Desktop の Cursor IDE 用の MCP サーバーテンプレートを自動的にインストールするには:\n\n```bash\nnpx -y @smithery/cli install @kirill-markin/example-mcp-server --client claude\n```\n\n### Glamaサーバーのレビュー","Japanese","ja-JP",{"_29":55,"_33":59,"_38":60},{"_31":56,"_33":57,"_35":58},"MCP(Model Context Protocol)를 사용하여 Cursor IDE용 사용자 정의 도구를 만드는 템플릿으로, 개발자가 자체 서버 기반 도구로 Cursor의 기능을 확장할 수 있습니다.","커서 IDE용 MCP 서버 템플릿","# 커서 IDE용 MCP 서버 템플릿\n\n모델 컨텍스트 프로토콜(MCP)을 사용하여 Cursor IDE용 사용자 지정 도구를 만드는 간단한 템플릿입니다. 이 템플릿을 사용하여 자체 저장소를 만들고, 도구를 수정한 후 Cursor IDE에 연결하세요.\n\n![서버 기분 반응](docs/images/server-mood.png)\n\n## 빠른 시작\n\n1. \"Heroku에 배포\" 버튼을 클릭하세요\n\n [![Heroku에 배포](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy?template=https://github.com/kirill-markin/weaviate-mcp-server)\n\n2. 배포 후 커서를 구성합니다.\n\n * 커서 설정 → 기능 열기\n * 새로운 MCP 서버 추가\n * `/sse` 경로와 함께 Heroku URL을 사용하세요(예: `https://.herokuapp.com/sse` )\n\n3. 커서에서 에이전트의 기분을 테스트하세요:\n\n * 담당 직원에게 \"저희 서버분 기분이 어떤지 물어보시고 알려주세요.\"라고 물어보세요.\n * 서버는 즐거운 메시지와 하트로 응답할 것입니다 ❤️\n\n## 대체 설정 방법\n\nDocker, 기존 Python 설정 또는 Cursor IDE에서 직접 사용하는 세 가지 방법으로 서버를 실행할 수 있습니다.\n\n### 도커 설정\n\n이 프로젝트에는 쉬운 배포를 위한 Docker 지원이 포함되어 있습니다.\n\n1. 초기 설정:\n\n지엑스피1\n\n2. Docker Compose를 사용하여 빌드하고 실행하세요.\n\n```bash\n# Build and start the server\ndocker compose up --build -d\n\n# View logs\ndocker compose logs -f\n\n# Check server status\ndocker compose ps\n\n# Stop the server\ndocker compose down\n```\n\n3. 서버는 다음 위치에서 사용할 수 있습니다.\n\n * SSE 엔드포인트: \n\n4. 빠른 테스트:\n\n```bash\n# Test the server endpoint\ncurl -i http://localhost:8000/sse\n```\n\n5. 커서 IDE에 연결:\n * 커서 설정 열기 → 기능\n * 새로운 MCP 서버 추가\n * 유형: \"sse\"를 선택하세요\n * URL: `http://localhost:8000/sse` 입력하세요\n\n### 전통적인 설정\n\n먼저, uv 패키지 관리자를 설치하세요.\n\n```bash\n# Install uv on macOS\nbrew install uv\n# Or install via pip (any OS)\npip install uv\n```\n\nstdio(기본값) 또는 SSE 전송을 사용하여 서버를 시작합니다.\n\n```bash\n# Install the package with development dependencies\nuv pip install -e \".[dev]\"\n\n# Using stdio transport (default)\nuv run mcp-hitchcode\n\n# Using SSE transport on custom port\nuv run mcp-hitchcode --transport sse --port 8000\n\n# Run tests\nuv run pytest -v\n```\n\n설치 후 서버를 Cursor IDE에 직접 연결할 수 있습니다.\n\n1. Cursor에서 `cursor-run-mcp-server.sh` 파일을 마우스 오른쪽 버튼으로 클릭합니다.\n2. 절대 경로를 복사하려면 \"경로 복사\"를 선택하세요.\n3. 커서 설정 열기(기어 아이콘)\n4. 기능 탭으로 이동\n5. \"MCP 서버\"까지 아래로 스크롤하세요.\n6. \"새 MCP 서버 추가\"를 클릭하세요.\n7. 양식을 작성하세요:\n * 이름: 원하는 이름을 선택하세요(예: \"my-mcp-server-1\")\n * 유형: \"stdio\"를 선택하세요(서버를 로컬로 실행하므로 \"sse\"가 아닙니다)\n * 명령어: 앞서 복사한 `cursor-run-mcp-server.sh` 파일의 절대 경로를 붙여넣습니다. 예: `/Users/kirillmarkin/weaviate-mcp-server/cursor-run-mcp-server.sh`\n\n### 환경 변수\n\n사용 가능한 환경 변수( `.env` 에서 설정 가능):\n\n* `MCP_SERVER_PORT` (기본값: 8000) - 서버를 실행할 포트\n* `MCP_SERVER_HOST` (기본값: 0.0.0.0) - 서버를 바인딩할 호스트\n* `DEBUG` (기본값: false) - 디버그 모드 활성화\n* `MCP_USER_AGENT` - 웹사이트 가져오기를 위한 사용자 정의 사용자 에이전트\n\n## 추가 옵션\n\n### Smithery를 통해 설치\n\n[![대장간 배지](https://smithery.ai/badge/@kirill-markin/example-mcp-server)](https://smithery.ai/server/@kirill-markin/example-mcp-server)\n\n[Smithery를](https://smithery.ai/server/@kirill-markin/example-mcp-server) 통해 Claude Desktop용 Cursor IDE용 MCP 서버 템플릿을 자동으로 설치하려면:\n\n```bash\nnpx -y @smithery/cli install @kirill-markin/example-mcp-server --client claude\n```\n\n### Glama 서버 리뷰","Korean","ko-KR",{"_29":62,"_33":66,"_38":67},{"_31":63,"_33":64,"_35":65},"使用模型上下文协议 (MCP) 为 Cursor IDE 创建自定义工具的模板，允许开发人员使用他们自己的基于服务器的工具扩展 Cursor 的功能。","Cursor IDE 的 MCP 服务器模板","# Cursor IDE 的 MCP 服务器模板\n\n一个使用模型上下文协议 (MCP) 为 Cursor IDE 创建自定义工具的简单模板。您可以使用此模板创建自己的代码库，修改工具并将其连接到您的 Cursor IDE。\n\n![服务员情绪反应](docs/images/server-mood.png)\n\n## 快速入门\n\n1. 点击“部署到 Heroku”按钮\n\n [![部署到 Heroku](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy?template=https://github.com/kirill-markin/weaviate-mcp-server)\n\n2. 部署完成后，配置Cursor：\n\n * 打开游标设置 → 功能\n * 添加新的 MCP 服务器\n * 使用带有`/sse`路径的 Heroku URL（例如`https://.herokuapp.com/sse` ）\n\n3. 在 Cursor 中测试您的代理的心情：\n\n * 询问您的代理“请询问我们的服务器状况并让我知道情况如何。”\n * 服务器将回复一条欢快的消息和一颗心❤️\n\n## 替代设置方法\n\n您可以通过三种方式运行服务器：使用 Docker、传统 Python 设置或直接在 Cursor IDE 中运行。\n\n### Docker 设置\n\n该项目包括 Docker 支持，可轻松部署：\n\n1. 初始设置：\n\n```bash\n# Clone the repository\ngit clone https://github.com/kirill-markin/weaviate-mcp-server.git\ncd weaviate-mcp-server\n\n# Create environment file\ncp .env.example .env\n```\n\n2. 使用 Docker Compose 构建并运行：\n\n```bash\n# Build and start the server\ndocker compose up --build -d\n\n# View logs\ndocker compose logs -f\n\n# Check server status\ndocker compose ps\n\n# Stop the server\ndocker compose down\n```\n\n3. 该服务器将在以下位置可用：\n\n * SSE 端点： \n\n4. 快速测试：\n\n```bash\n# Test the server endpoint\ncurl -i http://localhost:8000/sse\n```\n\n5. 连接到 Cursor IDE：\n * 打开游标设置 → 功能\n * 添加新的 MCP 服务器\n * 类型：选择“sse”\n * 网址：输入`http://localhost:8000/sse`\n\n### 传统设置\n\n首先，安装 uv 包管理器：\n\n```bash\n# Install uv on macOS\nbrew install uv\n# Or install via pip (any OS)\npip install uv\n```\n\n使用 stdio（默认）或 SSE 传输启动服务器：\n\n```bash\n# Install the package with development dependencies\nuv pip install -e \".[dev]\"\n\n# Using stdio transport (default)\nuv run mcp-hitchcode\n\n# Using SSE transport on custom port\nuv run mcp-hitchcode --transport sse --port 8000\n\n# Run tests\nuv run pytest -v\n```\n\n安装完成后，您可以将服务器直接连接到Cursor IDE：\n\n1. 在 Cursor 中右键单击`cursor-run-mcp-server.sh`文件\n2. 选择“复制路径”复制绝对路径\n3. 打开光标设置（齿轮图标）\n4. 导航至“功能”选项卡\n5. 向下滚动到“MCP 服务器”\n6. 点击“添加新的 MCP 服务器”\n7. 填写表格：\n * 名称：选择任意名称（例如“my-mcp-server-1”）\n * 类型：选择“stdio”（而不是“sse”，因为我们在本地运行服务器）\n * 命令：粘贴您之前复制的`cursor-run-mcp-server.sh`的绝对路径。例如： `/Users/kirillmarkin/weaviate-mcp-server/cursor-run-mcp-server.sh`\n\n### 环境变量\n\n可用的环境变量（可以在`.env`中设置）：\n\n* `MCP_SERVER_PORT` （默认值：8000）- 运行服务器的端口\n* `MCP_SERVER_HOST` （默认值：0.0.0.0）- 绑定服务器的主机\n* `DEBUG` （默认值：false）-启用调试模式\n* `MCP_USER_AGENT` - 用于网站抓取的自定义用户代理\n\n## 附加选项\n\n### 通过 Smithery 安装\n\n[![铁匠徽章](https://smithery.ai/badge/@kirill-markin/example-mcp-server)](https://smithery.ai/server/@kirill-markin/example-mcp-server)\n\n要通过[Smithery](https://smithery.ai/server/@kirill-markin/example-mcp-server)自动安装用于 Claude Desktop 的 Cursor IDE 的 MCP 服务器模板：\n\n```bash\nnpx -y @smithery/cli install @kirill-markin/example-mcp-server --client claude\n```\n\n### Glama 服务器评论","Chinese","zh-CN","githubUser","locale",{"_71":72,"_73":74,"_13":98,"_107":32,"_108":32,"_109":110,"_113":114,"_137":-5,"_16":138,"_139":140,"_141":142,"_33":34,"_194":127,"_195":-5,"_196":-5,"_197":198,"_199":-5,"_200":201,"_206":-5,"_149":123,"_207":208,"_212":213,"_128":324,"_325":326},"addedAt","2025-03-08T23:46:56.528528872Z","argumentsJsonSchema",{"_75":76,"_95":96,"_82":97},"properties",{"_77":78,"_84":85,"_87":88,"_91":92},"DEBUG",{"_79":80,"_31":81,"_82":83},"default","false","Enable debug mode","type","string","MCP_USER_AGENT",{"_31":86,"_82":83},"Custom User-Agent for website fetching","MCP_SERVER_HOST",{"_79":89,"_31":90,"_82":83},"0.0.0.0","Host to bind the server to","MCP_SERVER_PORT",{"_79":93,"_31":94,"_82":83},"8000","Port to run the server on","required",[],"object",[99,100,101,102,103,104,105,106],"category:developer-tools","category:code-execution","category:app-automation","hosting:remote-capable","language:python","security_grade:a","quality_grade:a","license_grade:a","descriptionMarkdown","descriptionPlainText","githubProject",{"_35":36,"_111":112},"url","https://github.com/jankowtf/mcp-hitchcode","githubRepository",{"_115":116,"_117":118,"_119":120,"_121":122,"_33":123,"_124":125,"_130":131,"_132":133,"_135":136},"defaultBranch","main","fullName","jankowtf/mcp-hitchcode","githubTreeId",73793,"language","Python","mcp-hitchcode","owner",{"_126":127,"_128":129},"login","jankowtf","uid","193sng2zze","recentStargazers",1,"spdxLicense",{"_33":134},"MIT License","stargazers",2,"glamaJson",1378,"inspectable",true,"integrations",[143,153,160,167,174,181,187],{"_144":145,"_31":151,"_128":152},"brand",{"_146":147,"_33":148,"_149":150},"logoSvgPath","M13.983 11.078h2.119a.186.186 0 00.186-.185V9.006a.186.186 0 00-.186-.186h-2.119a.185.185 0 00-.185.185v1.888c0 .102.083.185.185.185m-2.954-5.43h2.118a.186.186 0 00.186-.186V3.574a.186.186 0 00-.186-.185h-2.118a.185.185 0 00-.185.185v1.888c0 .102.082.185.185.185m0 2.716h2.118a.187.187 0 00.186-.186V6.29a.186.186 0 00-.186-.185h-2.118a.185.185 0 00-.185.185v1.887c0 .102.082.185.185.186m-2.93 0h2.12a.186.186 0 00.184-.186V6.29a.185.185 0 00-.185-.185H8.1a.185.185 0 00-.185.185v1.887c0 .102.083.185.185.186m-2.964 0h2.119a.186.186 0 00.185-.186V6.29a.185.185 0 00-.185-.185H5.136a.186.186 0 00-.186.185v1.887c0 .102.084.185.186.186m5.893 2.715h2.118a.186.186 0 00.186-.185V9.006a.186.186 0 00-.186-.186h-2.118a.185.185 0 00-.185.185v1.888c0 .102.082.185.185.185m-2.93 0h2.12a.185.185 0 00.184-.185V9.006a.185.185 0 00-.184-.186h-2.12a.185.185 0 00-.184.185v1.888c0 .102.083.185.185.185m-2.964 0h2.119a.185.185 0 00.185-.185V9.006a.185.185 0 00-.184-.186h-2.12a.186.186 0 00-.186.186v1.887c0 .102.084.185.186.185m-2.92 0h2.12a.185.185 0 00.184-.185V9.006a.185.185 0 00-.184-.186h-2.12a.185.185 0 00-.184.185v1.888c0 .102.082.185.185.185M23.763 9.89c-.065-.051-.672-.51-1.954-.51-.338.001-.676.03-1.01.087-.248-1.7-1.653-2.53-1.716-2.566l-.344-.199-.226.327c-.284.438-.49.922-.612 1.43-.23.97-.09 1.882.403 2.661-.595.332-1.55.413-1.744.42H.751a.751.751 0 00-.75.748 11.376 11.376 0 00.692 4.062c.545 1.428 1.355 2.48 2.41 3.124 1.18.723 3.1 1.137 5.275 1.137.983.003 1.963-.086 2.93-.266a12.248 12.248 0 003.823-1.389c.98-.567 1.86-1.288 2.61-2.136 1.252-1.418 1.998-2.997 2.553-4.4h.221c1.372 0 2.215-.549 2.68-1.009.309-.293.55-.65.707-1.046l.098-.288Z","Docker","slug","docker","Provides Docker setup and deployment options for running the MCP server with Docker Compose, including build, run, and monitoring commands.","xxdfigygf1",{"_144":154,"_31":158,"_128":159},{"_146":155,"_33":156,"_149":157},"M24 0v24H0V0h24ZM10.933 15.89H6.84v5.52h4.198v-.93H7.955v-1.503h2.77v-.93h-2.77v-1.224h2.978v-.934Zm2.146 0h-1.084v5.52h1.035v-3.6l2.226 3.6h1.118v-5.52h-1.036v3.686l-2.259-3.687Zm5.117 0h-1.208l1.973 5.52h1.19l1.976-5.52h-1.182l-1.352 4.085-1.397-4.086ZM5.4 19.68H3.72v1.68H5.4v-1.68Z",".ENV","dotenv","Supports environment variable configuration through .env files for customizing server behavior and connection settings.","dpspd28hie",{"_144":161,"_31":165,"_128":166},{"_146":162,"_33":163,"_149":164},"M20.61 0H3.39C2.189 0 1.23.96 1.23 2.16v19.681c0 1.198.959 2.159 2.16 2.159h17.22c1.2 0 2.159-.961 2.159-2.159V2.16C22.77.96 21.811 0 20.61 0zm.96 21.841c0 .539-.421.96-.96.96H3.39c-.54 0-.96-.421-.96-.96V2.16c0-.54.42-.961.96-.961h17.22c.539 0 .96.421.96.961v19.681zM6.63 20.399L9.33 18l-2.7-2.4v4.799zm9.72-9.719c-.479-.48-1.379-1.08-2.879-1.08-1.621 0-3.301.421-4.5.84V3.6h-2.4v10.38l1.68-.78s2.76-1.26 5.16-1.26c1.2 0 1.5.66 1.5 1.26v7.2h2.4v-7.2c.059-.179.059-1.501-.961-2.52zM13.17 7.5h2.4c1.08-1.26 1.62-2.521 1.8-3.9h-2.399c-.241 1.379-.841 2.64-1.801 3.9z","Heroku","heroku","Enables one-click deployment of the MCP server to Heroku cloud platform, providing a hosted endpoint that can be connected to Cursor IDE.","4wumeoiy4t",{"_144":168,"_31":172,"_128":173},{"_146":169,"_33":170,"_149":171},"M0 14.727h.941v-2.453c0-.484.318-.835.771-.835.439 0 .71.276.71.722v2.566h.915V12.25c0-.48.31-.812.764-.812.46 0 .718.28.718.77v2.518h.94v-2.748c0-.801-.517-1.334-1.307-1.334-.578 0-1.054.31-1.247.805h-.023c-.147-.514-.552-.805-1.118-.805-.545 0-.968.306-1.142.771H.903v-.695H0v4.006zm7.82-.646c-.408 0-.68-.208-.68-.537 0-.318.26-.522.714-.552l.926-.057v.307c0 .483-.427.839-.96.839zm-.284.71c.514 0 1.017-.268 1.248-.703h.018v.639h.908v-2.76c0-.804-.647-1.33-1.64-1.33-1.021 0-1.66.537-1.701 1.285h.873c.06-.332.344-.548.79-.548.464 0 .748.242.748.662v.287l-1.058.06c-.976.061-1.524.488-1.524 1.199 0 .721.564 1.209 1.338 1.209zm6.305-2.642c-.065-.843-.719-1.512-1.777-1.512-1.164 0-1.92.805-1.92 2.087 0 1.3.756 2.082 1.928 2.082 1.005 0 1.697-.59 1.772-1.485h-.888c-.087.453-.397.725-.873.725-.597 0-.982-.483-.982-1.322 0-.824.381-1.323.975-1.323.502 0 .8.321.876.748h.889zm2.906-2.967c-1.591 0-2.589 1.085-2.589 2.82 0 1.735.998 2.816 2.59 2.816 1.586 0 2.584-1.081 2.584-2.816 0-1.735-.997-2.82-2.585-2.82zm0 .832c.971 0 1.591.77 1.591 1.988 0 1.213-.62 1.984-1.59 1.984-.976 0-1.592-.77-1.592-1.984 0-1.217.616-1.988 1.591-1.988zm2.982 3.178c.042 1.006.866 1.626 2.12 1.626 1.32 0 2.151-.65 2.151-1.686 0-.813-.469-1.27-1.576-1.523l-.627-.144c-.67-.158-.945-.37-.945-.733 0-.453.415-.756 1.032-.756.623 0 1.05.306 1.096.817h.93c-.023-.96-.817-1.61-2.019-1.61-1.187 0-2.03.653-2.03 1.62 0 .78.477 1.263 1.482 1.494l.707.166c.688.163.967.39.967.782 0 .454-.457.779-1.115.779-.665 0-1.167-.329-1.228-.832h-.945z","macOS","macos","Provides macOS-specific installation instructions using Homebrew for setting up the uv package manager.","6kgbhdjjli",{"_144":175,"_31":179,"_128":180},{"_146":176,"_33":177,"_149":178},"M2.6152 0v.8867h3.8399V0zm5.0215 0v.8867h3.8418V0zm4.957 0v.8867h3.8418V0zm4.9356 0v.8867h3.8418V0zM2.4473 1.8945a.935.935 0 0 0-.9356.9356c0 .517.4185.9375.9356.9375h19.1054c.5171 0 .9356-.4204.9356-.9375a.935.935 0 0 0-.9356-.9356zm.168 2.8477V24H6.455V4.7422zm5.0214 0V20.543h3.8418V4.7422zm4.957 0V15.291h3.8497V4.7422zm4.9356 0v6.4941h3.8418V4.7422z","Pytest","pytest","Includes test support with pytest for verifying the functionality of the MCP server components.","8hz660wql5",{"_144":182,"_31":185,"_128":186},{"_146":183,"_33":122,"_149":184},"M14.25.18l.9.2.73.26.59.3.45.32.34.34.25.34.16.33.1.3.04.26.02.2-.01.13V8.5l-.05.63-.13.55-.21.46-.26.38-.3.31-.33.25-.35.19-.35.14-.33.1-.3.07-.26.04-.21.02H8.77l-.69.05-.59.14-.5.22-.41.27-.33.32-.27.35-.2.36-.15.37-.1.35-.07.32-.04.27-.02.21v3.06H3.17l-.21-.03-.28-.07-.32-.12-.35-.18-.36-.26-.36-.36-.35-.46-.32-.59-.28-.73-.21-.88-.14-1.05-.05-1.23.06-1.22.16-1.04.24-.87.32-.71.36-.57.4-.44.42-.33.42-.24.4-.16.36-.1.32-.05.24-.01h.16l.06.01h8.16v-.83H6.18l-.01-2.75-.02-.37.05-.34.11-.31.17-.28.25-.26.31-.23.38-.2.44-.18.51-.15.58-.12.64-.1.71-.06.77-.04.84-.02 1.27.05zm-6.3 1.98l-.23.33-.08.41.08.41.23.34.33.22.41.09.41-.09.33-.22.23-.34.08-.41-.08-.41-.23-.33-.33-.22-.41-.09-.41.09zm13.09 3.95l.28.06.32.12.35.18.36.27.36.35.35.47.32.59.28.73.21.88.14 1.04.05 1.23-.06 1.23-.16 1.04-.24.86-.32.71-.36.57-.4.45-.42.33-.42.24-.4.16-.36.09-.32.05-.24.02-.16-.01h-8.22v.82h5.84l.01 2.76.02.36-.05.34-.11.31-.17.29-.25.25-.31.24-.38.2-.44.17-.51.15-.58.13-.64.09-.71.07-.77.04-.84.01-1.27-.04-1.07-.14-.9-.2-.73-.25-.59-.3-.45-.33-.34-.34-.25-.34-.16-.33-.1-.3-.04-.25-.02-.2.01-.13v-5.34l.05-.64.13-.54.21-.46.26-.38.3-.32.33-.24.35-.2.35-.14.33-.1.3-.06.26-.04.21-.02.13-.01h5.84l.69-.05.59-.14.5-.21.41-.28.33-.32.27-.35.2-.36.15-.36.1-.35.07-.32.04-.28.02-.21V6.07h2.09l.14.01zm-6.47 14.25l-.23.33-.08.41.08.41.23.33.33.23.41.08.41-.08.33-.23.23-.33.08-.41-.08-.41-.23-.33-.33-.23-.41-.08-.41.08z","python","Supports traditional Python setup using the uv package manager for installation and running the MCP server with various transport options.","sfdsr7sm43",{"_144":188,"_31":192,"_128":193},{"_146":189,"_33":190,"_149":191},"M.113 10.27A13.026 13.026 0 000 11.48h18.23c-.064-.125-.15-.237-.235-.347-3.117-4.027-4.793-3.677-7.19-3.78-.8-.034-1.34-.048-4.524-.048-1.704 0-3.555.005-5.358.01-.234.63-.459 1.24-.567 1.737h9.342v1.216H.113v.002zm18.26 2.426H.009c.02.326.05.645.094.961h16.955c.754 0 1.179-.429 1.315-.96zm-17.318 4.28s2.81 6.902 10.93 7.024c4.855 0 9.027-2.883 10.92-7.024H1.056zM11.988 0C7.5 0 3.593 2.466 1.531 6.108l4.75-.005v-.002c3.71 0 3.849.016 4.573.047l.448.016c1.563.052 3.485.22 4.996 1.364.82.621 2.007 1.99 2.712 2.965.654.902.842 1.94.396 2.934-.408.914-1.289 1.458-2.353 1.458H.391s.099.42.249.886h22.748A12.026 12.026 0 0024 12.005C24 5.377 18.621 0 11.988 0z","Railway","railway","Fetches and provides access to Railway CLI documentation through dedicated tools for retrieving and optimizing Railway documentation content.","71z0felx7c","namespace","npmPackage","prompts","redditPostForeignId","1j6uyx8","resources","scores",{"_202":203,"_204":203,"_205":203},"license",100,"quality","security","simpleIcon","supportedPlatforms",[209,210,211],"MACOS","WINDOWS","LINUX","tools",[214,223,232,239,244,259,270,281,292,302,313],{"_33":215,"_31":216,"_217":218},"mcp_fetch","Fetches a website and returns its content","inputSchema",{"_82":97,"_95":219,"_75":220},[111],{"_111":221},{"_82":83,"_31":222},"URL to fetch",{"_33":224,"_31":225,"_217":226},"mood","Ask the server about its mood - it's always happy!",{"_82":97,"_95":227,"_75":229},[228],"question",{"_228":230},{"_82":83,"_31":231},"Ask this MCP server about its mood! You can phrase your question in any way you like - 'How are you?', 'What's your mood?', or even 'Are you having a good day?'. The server will always respond with a cheerful message and a heart ❤️",{"_33":233,"_31":234,"_217":235},"fetch_railway_docs","Fetches the most recent Railway CLI documentation. Optionally, provide a custom URL.",{"_82":97,"_75":236},{"_111":237},{"_82":83,"_31":238},"Optional custom URL for fetching Railway CLI docs.",{"_33":240,"_31":234,"_217":241},"fetch_railway_docs_optimized",{"_82":97,"_75":242},{"_111":243},{"_82":83,"_31":238},{"_33":245,"_31":246,"_217":247},"apply_prompt_fix","Provides a prompt for performing root cause analysis and fixing issues",{"_82":97,"_95":248,"_75":250},[249],"issue",{"_249":251,"_253":254,"_256":257},{"_82":83,"_31":252},"A description of the issue to be analyzed and fixed","version",{"_82":83,"_31":255},"The version of the prompt template to use (e.g., '1.0.0', '1.1.0', or 'latest')","specific_instructions",{"_82":83,"_31":258},"Optional specific instructions to include in the prompt",{"_33":260,"_31":261,"_217":262},"apply_prompt_initial","Provides an initial prompt template for starting a new project",{"_82":97,"_95":263,"_75":265},[264],"objective",{"_253":266,"_264":267,"_256":269},{"_82":83,"_31":255},{"_82":83,"_31":268},"A description of the objective of the project",{"_82":83,"_31":258},{"_33":271,"_31":272,"_217":273},"apply_prompt_proceed","Provides a prompt template for proceeding with a task or project",{"_82":97,"_95":274,"_75":276},[275],"task",{"_275":277,"_253":279,"_256":280},{"_82":83,"_31":278},"A description of the task or project to proceed with",{"_82":83,"_31":255},{"_82":83,"_31":258},{"_33":282,"_31":283,"_217":284},"apply_prompt_change","Provides a prompt for systematically handling change requests",{"_82":97,"_95":285,"_75":287},[286],"change_request",{"_253":288,"_286":289,"_256":291},{"_82":83,"_31":255},{"_82":83,"_31":290},"Description of the change request to implement",{"_82":83,"_31":258},{"_33":293,"_31":294,"_217":295},"apply_prompt_fix_linter","Provides a prompt for analyzing and fixing linter errors",{"_82":97,"_95":296,"_75":297},[249],{"_249":298,"_253":300,"_256":301},{"_82":83,"_31":299},"A description of the linter errors to be analyzed and fixed",{"_82":83,"_31":255},{"_82":83,"_31":258},{"_33":303,"_31":304,"_217":305},"apply_prompt_unit_tests","Provides a prompt for generating unit tests for code",{"_82":97,"_95":306,"_75":308},[307],"code_to_test",{"_253":309,"_307":310,"_256":312},{"_82":83,"_31":255},{"_82":83,"_31":311},"The code that needs unit tests",{"_82":83,"_31":258},{"_33":314,"_31":315,"_217":316},"apply_prompt_infra","Provides a prompt template for laying out system infrastructure and tool stack information",{"_82":97,"_95":317,"_75":319},[318],"infrastructure_info",{"_253":320,"_318":321,"_256":323},{"_82":83,"_31":255},{"_82":83,"_31":322},"Description of the infrastructure and tool stack",{"_82":83,"_31":258},"rbgsskqcgb","updatedAt","2025-03-20T17:58:27.127127412Z","meta",[329,332,334,341,344,346,349,352,355,358,361,363,366,369,371,373,375,377,379],{"_330":331},"title","MCP Server Template for Cursor IDE | Glama",{"_333":32,"_33":31},"content",{"_335":336,"_337":338,"_339":340},"href","https://glama.ai/mcp/servers/@jankowtf/mcp-hitchcode","rel","canonical","tagName","link",{"_333":34,"_342":343},"property","og:title",{"_333":32,"_342":345},"og:description",{"_333":347,"_342":348},"https://glama.ai/logo.png","og:logo",{"_333":350,"_342":351},"https://glama.ai/mcp/servers/@jankowtf/mcp-hitchcode/og-image","og:image",{"_333":353,"_342":354},"630","og:image:height",{"_333":356,"_342":357},"1200","og:image:width",{"_333":359,"_342":360},"website","og:type",{"_333":336,"_342":362},"og:url",{"_333":364,"_342":365},"Glama – MCP Hosting Platform","og:site_name",{"_333":367,"_33":368},"summary_large_image","twitter:card",{"_333":364,"_33":370},"twitter:title",{"_333":32,"_33":372},"twitter:description",{"_333":350,"_33":374},"twitter:image",{"_333":353,"_33":376},"twitter:image:height",{"_333":356,"_33":378},"twitter:image:width",{"_380":381},"script:ld+json",{"_382":383,"_384":385},"@context","http://schema.org","@graph",[386],{"_382":387,"_388":389,"_390":391},"https://schema.org","@type","BreadcrumbList","itemListElement",[392,398,401,405],{"_388":393,"_394":395,"_33":396,"_397":131},"ListItem","item","https://glama.ai/","Glama","position",{"_388":393,"_394":399,"_33":400,"_397":136},"https://glama.ai/mcp","MCP",{"_388":393,"_394":402,"_33":403,"_397":404},"https://glama.ai/mcp/servers","Servers",3,{"_388":393,"_394":336,"_33":34,"_397":406},4,"visitorIsMaintainer",false,"routes/_public/mcp/servers/~namespace/~slug/_pages/_explorer/blob/~branch/~/_route",{"_411":412,"_416":116,"_29":417,"_327":515,"_539":540,"_541":542},"blob",{"_333":413,"_414":415},"\n\n","fileName","temp","branch",{"_71":72,"_73":418,"_13":425,"_107":32,"_108":32,"_109":426,"_113":427,"_137":-5,"_16":138,"_139":140,"_141":430,"_33":34,"_194":127,"_195":-5,"_196":-5,"_197":198,"_199":-5,"_200":445,"_206":-5,"_149":123,"_207":446,"_212":447,"_128":324,"_325":326},{"_75":419,"_95":424,"_82":97},{"_77":420,"_84":421,"_87":422,"_91":423},{"_79":80,"_31":81,"_82":83},{"_31":86,"_82":83},{"_79":89,"_31":90,"_82":83},{"_79":93,"_31":94,"_82":83},[],[99,100,101,102,103,104,105,106],{"_35":36,"_111":112},{"_115":116,"_117":118,"_119":120,"_121":122,"_33":123,"_124":428,"_130":131,"_132":429,"_135":136},{"_126":127,"_128":129},{"_33":134},[431,433,435,437,439,441,443],{"_144":432,"_31":151,"_128":152},{"_146":147,"_33":148,"_149":150},{"_144":434,"_31":158,"_128":159},{"_146":155,"_33":156,"_149":157},{"_144":436,"_31":165,"_128":166},{"_146":162,"_33":163,"_149":164},{"_144":438,"_31":172,"_128":173},{"_146":169,"_33":170,"_149":171},{"_144":440,"_31":179,"_128":180},{"_146":176,"_33":177,"_149":178},{"_144":442,"_31":185,"_128":186},{"_146":183,"_33":122,"_149":184},{"_144":444,"_31":192,"_128":193},{"_146":189,"_33":190,"_149":191},{"_202":203,"_204":203,"_205":203},[209,210,211],[448,453,458,462,466,473,480,487,494,501,508],{"_33":215,"_31":216,"_217":449},{"_82":97,"_95":450,"_75":451},[111],{"_111":452},{"_82":83,"_31":222},{"_33":224,"_31":225,"_217":454},{"_82":97,"_95":455,"_75":456},[228],{"_228":457},{"_82":83,"_31":231},{"_33":233,"_31":234,"_217":459},{"_82":97,"_75":460},{"_111":461},{"_82":83,"_31":238},{"_33":240,"_31":234,"_217":463},{"_82":97,"_75":464},{"_111":465},{"_82":83,"_31":238},{"_33":245,"_31":246,"_217":467},{"_82":97,"_95":468,"_75":469},[249],{"_249":470,"_253":471,"_256":472},{"_82":83,"_31":252},{"_82":83,"_31":255},{"_82":83,"_31":258},{"_33":260,"_31":261,"_217":474},{"_82":97,"_95":475,"_75":476},[264],{"_253":477,"_264":478,"_256":479},{"_82":83,"_31":255},{"_82":83,"_31":268},{"_82":83,"_31":258},{"_33":271,"_31":272,"_217":481},{"_82":97,"_95":482,"_75":483},[275],{"_275":484,"_253":485,"_256":486},{"_82":83,"_31":278},{"_82":83,"_31":255},{"_82":83,"_31":258},{"_33":282,"_31":283,"_217":488},{"_82":97,"_95":489,"_75":490},[286],{"_253":491,"_286":492,"_256":493},{"_82":83,"_31":255},{"_82":83,"_31":290},{"_82":83,"_31":258},{"_33":293,"_31":294,"_217":495},{"_82":97,"_95":496,"_75":497},[249],{"_249":498,"_253":499,"_256":500},{"_82":83,"_31":299},{"_82":83,"_31":255},{"_82":83,"_31":258},{"_33":303,"_31":304,"_217":502},{"_82":97,"_95":503,"_75":504},[307],{"_253":505,"_307":506,"_256":507},{"_82":83,"_31":255},{"_82":83,"_31":311},{"_82":83,"_31":258},{"_33":314,"_31":315,"_217":509},{"_82":97,"_95":510,"_75":511},[318],{"_253":512,"_318":513,"_256":514},{"_82":83,"_31":255},{"_82":83,"_31":322},{"_82":83,"_31":258},[516,518,520,522,524,525,526,528,529,530,531,532,533,534,535,536,537,538],{"_330":517},"MCP Server | Glama",{"_333":519,"_33":31},"Enterprise-grade security, privacy, and features like agents, MCP, prompt templates, and more.",{"_335":521,"_337":338,"_339":340},"https://glama.ai/mcp/servers/@jankowtf/mcp-hitchcode/blob/main/",{"_333":523,"_342":343},"MCP Server",{"_333":519,"_342":345},{"_333":347,"_342":348},{"_333":527,"_342":351},"https://glama.ai/generated-images/og?title=MCP+Server",{"_333":353,"_342":354},{"_333":356,"_342":357},{"_333":359,"_342":360},{"_333":521,"_342":362},{"_333":364,"_342":365},{"_333":367,"_33":368},{"_333":364,"_33":370},{"_333":519,"_33":372},{"_333":527,"_33":374},{"_333":353,"_33":376},{"_333":356,"_33":378},"path","","treeMembers",[543,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,583,585,587],{"_539":544,"_82":545},"docs","tree",{"_539":547,"_82":545},"gameplans",{"_539":549,"_82":545},".github",{"_539":551,"_82":545},"mcp_hitchcode",{"_539":553,"_82":545},"scripts",{"_539":555,"_82":545},"tests",{"_539":557,"_82":411},"app.json",{"_539":559,"_82":411},"cursor-run-mcp-server.sh",{"_539":561,"_82":411},"docker-compose.yml",{"_539":563,"_82":411},"Dockerfile",{"_539":565,"_82":411},".dockerignore",{"_539":567,"_82":411},".env.example",{"_539":569,"_82":411},"fetch_railway_docs_optimized.sh",{"_539":571,"_82":411},".gitignore",{"_539":573,"_82":411},"heroku.yml",{"_539":575,"_82":411},"LICENSE",{"_539":577,"_82":411},"pyproject.toml",{"_539":579,"_82":411},"README.md",{"_539":581,"_82":411},"smithery.yaml",{"_539":415,"_82":411},{"_539":584,"_82":411},"test_final_verification.py",{"_539":586,"_82":411},"test_template_loader.py",{"_539":588,"_82":411},"uv.lock","actionData","errors"]

MCP directory API