[{"_1":2,"_365":-5,"_366":-5},"loaderData",{"_3":4,"_22":23,"_239":240},"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",17495170,"membership","referenceId","0199ab24-15cd-719b-b50b-df06c33c002b","userAccount","routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_24":25,"_66":-5,"_67":26,"_27":68,"_155":156,"_238":141},"availableLocales",[26,38,45,52,59],{"_27":28,"_31":35,"_36":37},"mcpServer",{"_29":30,"_31":32,"_33":34},"description","A FastMCP server implementation for the Dixa API, enabling AI assistants to search, retrieve, and manage customer conversation data and tags.","name","Dixa MCP Server","readme","# Dixa MCP Server\n\nA FastMCP server implementation for the Dixa API, providing resources and tools for managing conversations and tags.\n\n## Features\n\n- **Resources**\n - Search conversations\n - Get conversation details\n - Get conversation notes\n - Get conversation messages\n - Get available tags\n\n- **Tools**\n - Add tags to conversations\n - Remove tags from conversations\n\n## Project Structure\n\n```\n/src\n├── dixa.ts # Main server setup\n├── config.ts # Configuration and environment settings\n├── types.ts # Shared types and error handling\n├── resources/ # Resource implementations\n├── schemas/ # Zod schemas for validation\n└── tools/ # Tool implementations\n```\n\n## Configuration\n\nThe server requires the following environment variables:\n\n- `DIXA_API_KEY`: Your Dixa API key\n- `DIXA_API_BASE_URL` (optional): Override the default API URL (defaults to 'https://dev.dixa.io/v1')\n\n## Usage\n\n1. Set up environment variables:\n```bash\n export DIXA_API_KEY='your-api-key'\n ```\n\n2. Start the server:\n ```bash\n npm start\n```\n\n## Running Your Server\n\n### Test with `mcp-cli`\n\nThe fastest way to test and debug your server is with `fastmcp dev`:\n\n```bash\nnpx fastmcp dev server.js\nnpx fastmcp dev server.ts\n```\n\nThis will run your server with [`mcp-cli`](https://github.com/wong2/mcp-cli) for testing and debugging your MCP server in the terminal.\n\n### Inspect with `MCP Inspector`\n\nAnother way is to use the official [`MCP Inspector`](https://modelcontextprotocol.io/docs/tools/inspector) to inspect your server with a Web UI:\n\n```bash\nnpx fastmcp inspect server.ts\n```\n\n## FAQ\n\n### How to use with Claude Desktop?\n\nFollow the guide https://modelcontextprotocol.io/quickstart/user and add the following configuration:\n\n```json\n{\n \"mcpServers\": {\n \"my-mcp-server\": {\n \"command\": \"npx\",\n \"args\": [\n \"tsx\",\n \"/PATH/TO/YOUR_PROJECT/src/index.ts\"\n ],\n \"env\": {\n \"YOUR_ENV_VAR\": \"value\"\n }\n }\n }\n}\n```\n\n## Development\n\n### Adding a New Resource\n\n1. Create a schema in `src/schemas/`\n2. Create the resource in `src/resources/`\n3. Add the resource to `src/dixa.ts`\n\nExample resource:\n```typescript\nexport const myResource = {\n uri: \"dixa://my-resource\",\n name: \"My Resource\",\n description: \"Description\",\n load: async (args: MyArgs, apiKey: string) => {\n // Implementation\n }\n};\n```\n\n### Adding a New Tool\n\n1. Create the tool in `src/tools/`\n2. Add the tool to `src/dixa.ts`\n\nExample tool:\n```typescript\nexport const myTool = {\n name: \"My Tool\",\n description: \"Description\",\n execute: async (args: MyArgs, apiKey: string) => {\n // Implementation\n }\n};\n```\n\n## Error Handling\n\nThe project uses custom error classes:\n- `DixaError`: Base error class for API errors\n- `DixaValidationError`: For response validation failures\n\n## Showcase\n\n> [!NOTE]\n>\n> If you've developed a server using FastMCP, please [submit a PR](https://github.com/punkpeye/fastmcp) to showcase it here!\n\n- https://github.com/apinetwork/piapi-mcp-server\n- https://github.com/Meeting-Baas/meeting-mcp - Meeting BaaS MCP server that enables AI assistants to create meeting bots, search transcripts, and manage recording data\n\n## Acknowledgements\n\n- FastMCP is inspired by the [Python implementation](https://github.com/jlowin/fastmcp) by [Jonathan Lowin](https://github.com/jlowin).\n- Parts of codebase were adopted from [LiteMCP](https://github.com/wong2/litemcp).\n- Parts of codebase were adopted from [Model Context protocolでSSEをやってみる](https://dev.classmethod.jp/articles/mcp-sse/).\n\n## Contributing\n\n1. Follow the existing patterns for resources and tools\n2. Add proper JSDoc documentation\n3. Use the shared utilities in `types.ts` and `config.ts`\n4. Update the README if adding new features\n","English","tag","en-US",{"_27":39,"_31":43,"_36":44},{"_29":40,"_31":41,"_33":42},"Una implementación de servidor FastMCP para la API Dixa, que permite a los asistentes de IA buscar, recuperar y administrar datos y etiquetas de conversaciones de clientes.","Servidor Dixa MCP","# Servidor Dixa MCP\n\nUna implementación de servidor FastMCP para la API Dixa, que proporciona recursos y herramientas para administrar conversaciones y etiquetas.\n\n## Características\n\n* **Recursos**\n\n * Buscar conversaciones\n * Obtener detalles de la conversación\n * Obtener notas de conversación\n * Recibir mensajes de conversación\n * Obtener etiquetas disponibles\n\n* **Herramientas**\n\n * Agregar etiquetas a las conversaciones\n * Eliminar etiquetas de las conversaciones\n\n## Estructura del proyecto\n\n```\n/src\n├── dixa.ts # Main server setup\n├── config.ts # Configuration and environment settings\n├── types.ts # Shared types and error handling\n├── resources/ # Resource implementations\n├── schemas/ # Zod schemas for validation\n└── tools/ # Tool implementations\n```\n\n## Configuración\n\nEl servidor requiere las siguientes variables de entorno:\n\n* `DIXA_API_KEY` : Su clave API de Dixa\n* `DIXA_API_BASE_URL` (opcional): anula la URL de API predeterminada (el valor predeterminado es ' ')\n\n## Uso\n\n1. Configurar variables de entorno:\n\n```bash\n export DIXA_API_KEY='your-api-key'\n```\n\n2. Iniciar el servidor:\n\n ```bash\n npm start\n ```\n\n````\n\n## Running Your Server\n\n### Test with `mcp-cli`\n\nThe fastest way to test and debug your server is with `fastmcp dev`:\n\n```bash\nnpx fastmcp dev server.js\nnpx fastmcp dev server.ts\n````\n\nEsto ejecutará su servidor con [`mcp-cli`](https://github.com/wong2/mcp-cli) para probar y depurar su servidor MCP en la terminal.\n\n### Inspeccionar con `MCP Inspector`\n\nOtra forma es utilizar el [`MCP Inspector`](https://modelcontextprotocol.io/docs/tools/inspector) para inspeccionar su servidor con una interfaz web:\n\n```bash\nnpx fastmcp inspect server.ts\n```\n\n## Preguntas frecuentes\n\n### ¿Cómo utilizar con Claude Desktop?\n\nSiga la guía y agregue la siguiente configuración:\n\n```json\n{\n \"mcpServers\": {\n \"my-mcp-server\": {\n \"command\": \"npx\",\n \"args\": [\n \"tsx\",\n \"/PATH/TO/YOUR_PROJECT/src/index.ts\"\n ],\n \"env\": {\n \"YOUR_ENV_VAR\": \"value\"\n }\n }\n }\n}\n```\n\n## Desarrollo\n\n### Agregar un nuevo recurso\n\n1. Crear un esquema en `src/schemas/`\n2. Crea el recurso en `src/resources/`\n3. Agregue el recurso a `src/dixa.ts`\n\nRecurso de ejemplo:\n\n```typescript\nexport const myResource = {\n uri: \"dixa://my-resource\",\n name: \"My Resource\",\n description: \"Description\",\n load: async (args: MyArgs, apiKey: string) => {\n // Implementation\n }\n};\n```\n\n### Agregar una nueva herramienta\n\n1. Crea la herramienta en `src/tools/`\n2. Añade la herramienta a `src/dixa.ts`\n\nHerramienta de ejemplo:\n\n```typescript\nexport const myTool = {\n name: \"My Tool\",\n description: \"Description\",\n execute: async (args: MyArgs, apiKey: string) => {\n // Implementation\n }\n};\n```\n\n## Manejo de errores\n\nEl proyecto utiliza clases de error personalizadas:\n\n* `DixaError` : Clase de error base para errores de API\n* `DixaValidationError` : Para errores de validación de respuesta\n\n## Escaparate\n\n> \\[!NOTA]\n>\n> Si ha desarrollado un servidor utilizando FastMCP, ¡ [envíe un PR](https://github.com/punkpeye/fastmcp) para mostrarlo aquí!\n\n* \n* - Servidor MCP de Meeting BaaS que permite a los asistentes de IA crear bots de reuniones, buscar transcripciones y administrar datos de grabación\n\n## Expresiones de gratitud\n\n* FastMCP está inspirado en la [implementación de Python](https://github.com/jlowin/fastmcp) de [Jonathan Lowin](https://github.com/jlowin) .\n* Partes del código base fueron adoptadas de [LiteMCP](https://github.com/wong2/litemcp) .\n* Partes del código base se adoptaron del [protocolo Model Context でSSEをやってみる](https://dev.classmethod.jp/articles/mcp-sse/).\n\n## Contribuyendo\n\n1. Seguir los patrones existentes de recursos y herramientas\n2. Agregue la documentación JSDoc adecuada\n3. Utilice las utilidades compartidas en `types.ts` y `config.ts`\n4. Actualice el README si agrega nuevas funciones","Spanish","es-ES",{"_27":46,"_31":50,"_36":51},{"_29":47,"_31":48,"_33":49},"Dixa API 用の FastMCP サーバー実装。AI アシスタントが顧客の会話データとタグを検索、取得、管理できるようになります。","Dixa MCP サーバー","# Dixa MCP サーバー\n\nDixa API 用の FastMCP サーバー実装。会話とタグを管理するためのリソースとツールを提供します。\n\n## 特徴\n\n* **リソース**\n\n * 会話を検索\n * 会話の詳細を取得する\n * 会話メモを取得する\n * 会話メッセージを取得する\n * 利用可能なタグを取得する\n\n* **ツール**\n\n * 会話にタグを追加する\n * 会話からタグを削除する\n\n## プロジェクト構造\n\n```\n/src\n├── dixa.ts # Main server setup\n├── config.ts # Configuration and environment settings\n├── types.ts # Shared types and error handling\n├── resources/ # Resource implementations\n├── schemas/ # Zod schemas for validation\n└── tools/ # Tool implementations\n```\n\n## 構成\n\nサーバーには次の環境変数が必要です。\n\n* `DIXA_API_KEY` : Dixa APIキー\n* `DIXA_API_BASE_URL` (オプション): デフォルトの API URL を上書きします (デフォルトは ' ')\n\n## 使用法\n\n1. 環境変数を設定します。\n\n```bash\n export DIXA_API_KEY='your-api-key'\n```\n\n2. サーバーを起動します。\n\n ```bash\n npm start\n ```\n\n````\n\n## Running Your Server\n\n### Test with `mcp-cli`\n\nThe fastest way to test and debug your server is with `fastmcp dev`:\n\n```bash\nnpx fastmcp dev server.js\nnpx fastmcp dev server.ts\n````\n\nこれにより、ターミナルで MCP サーバーをテストおよびデバッグするために、 [`mcp-cli`](https://github.com/wong2/mcp-cli)を使用してサーバーが実行されます。\n\n### `MCP Inspector`で検査する\n\nもう 1 つの方法は、公式の[`MCP Inspector`](https://modelcontextprotocol.io/docs/tools/inspector)使用して Web UI でサーバーを検査することです。\n\n```bash\nnpx fastmcp inspect server.ts\n```\n\n## よくある質問\n\n### Claude Desktop ではどのように使用しますか?\n\nガイドに従って、次の構成を追加します。\n\n```json\n{\n \"mcpServers\": {\n \"my-mcp-server\": {\n \"command\": \"npx\",\n \"args\": [\n \"tsx\",\n \"/PATH/TO/YOUR_PROJECT/src/index.ts\"\n ],\n \"env\": {\n \"YOUR_ENV_VAR\": \"value\"\n }\n }\n }\n}\n```\n\n## 発達\n\n### 新しいリソースの追加\n\n1. `src/schemas/`にスキーマを作成する\n2. `src/resources/`にリソースを作成します。\n3. `src/dixa.ts`にリソースを追加する\n\nリソースの例:\n\n```typescript\nexport const myResource = {\n uri: \"dixa://my-resource\",\n name: \"My Resource\",\n description: \"Description\",\n load: async (args: MyArgs, apiKey: string) => {\n // Implementation\n }\n};\n```\n\n### 新しいツールの追加\n\n1. `src/tools/`にツールを作成する\n2. `src/dixa.ts`にツールを追加する\n\nツールの例:\n\n```typescript\nexport const myTool = {\n name: \"My Tool\",\n description: \"Description\",\n execute: async (args: MyArgs, apiKey: string) => {\n // Implementation\n }\n};\n```\n\n## エラー処理\n\nこのプロジェクトではカスタムエラークラスを使用します。\n\n* `DixaError` : APIエラーの基本エラークラス\n* `DixaValidationError` : レスポンス検証失敗の場合\n\n## ショーケース\n\n> \\[！注記]\n>\n> FastMCP を使用してサーバーを開発した場合は、ここで[PR を送信して](https://github.com/punkpeye/fastmcp)公開してください。\n\n* \n* - AIアシスタントが会議ボットを作成したり、トランスクリプトを検索したり、記録データを管理したりできるようにする会議BaaS MCPサーバー\n\n## 謝辞\n\n* FastMCP は、 [Jonathan Lowin](https://github.com/jlowin)による[Python 実装](https://github.com/jlowin/fastmcp)にインスピレーションを受けています。\n* コードベースの一部は[LiteMCP](https://github.com/wong2/litemcp)から採用されました。\n* コードベースの一部は[Model Context プロトコルで SSE をやってみる](https://dev.classmethod.jp/articles/mcp-sse/)から採用されました。\n\n## 貢献\n\n1. リソースとツールの既存のパターンに従う\n2. 適切なJSDocドキュメントを追加する\n3. `types.ts`と`config.ts`の共有ユーティリティを使用する\n4. 新しい機能を追加する場合はREADMEを更新してください","Japanese","ja-JP",{"_27":53,"_31":57,"_36":58},{"_29":54,"_31":55,"_33":56},"Dixa API를 위한 FastMCP 서버 구현으로, AI 도우미가 고객 대화 데이터와 태그를 검색, 추출, 관리할 수 있게 해줍니다.","Dixa MCP 서버","# Dixa MCP 서버\n\nDixa API를 위한 FastMCP 서버 구현으로, 대화와 태그를 관리하기 위한 리소스와 도구를 제공합니다.\n\n## 특징\n\n* **자원**\n\n * 대화 검색\n * 대화 세부 정보 가져오기\n * 대화 노트 받기\n * 대화 메시지 받기\n * 사용 가능한 태그 가져오기\n\n* **도구**\n\n * 대화에 태그 추가\n * 대화에서 태그 제거\n\n## 프로젝트 구조\n\n지엑스피1\n\n## 구성\n\n서버에는 다음과 같은 환경 변수가 필요합니다.\n\n* `DIXA_API_KEY` : Dixa API 키\n* `DIXA_API_BASE_URL` (선택 사항): 기본 API URL을 재정의합니다(기본값은 ' ').\n\n## 용법\n\n1. 환경 변수 설정:\n\n```bash\n export DIXA_API_KEY='your-api-key'\n```\n\n2. 서버를 시작합니다:\n\n ```bash\n npm start\n ```\n\n````\n\n## Running Your Server\n\n### Test with `mcp-cli`\n\nThe fastest way to test and debug your server is with `fastmcp dev`:\n\n```bash\nnpx fastmcp dev server.js\nnpx fastmcp dev server.ts\n````\n\n이렇게 하면 터미널에서 MCP 서버를 테스트하고 디버깅하기 위해 [`mcp-cli`](https://github.com/wong2/mcp-cli) 로 서버가 실행됩니다.\n\n### `MCP Inspector` 으로 검사하세요\n\n또 다른 방법은 공식 [`MCP Inspector`](https://modelcontextprotocol.io/docs/tools/inspector) 사용하여 웹 UI로 서버를 검사하는 것입니다.\n\n```bash\nnpx fastmcp inspect server.ts\n```\n\n## 자주 묻는 질문\n\n### Claude Desktop과 함께 사용하는 방법?\n\n 가이드를 따르고 다음 구성을 추가하세요.\n\n```json\n{\n \"mcpServers\": {\n \"my-mcp-server\": {\n \"command\": \"npx\",\n \"args\": [\n \"tsx\",\n \"/PATH/TO/YOUR_PROJECT/src/index.ts\"\n ],\n \"env\": {\n \"YOUR_ENV_VAR\": \"value\"\n }\n }\n }\n}\n```\n\n## 개발\n\n### 새로운 리소스 추가\n\n1. `src/schemas/` 에 스키마를 생성합니다.\n2. `src/resources/` 에 리소스를 생성합니다.\n3. `src/dixa.ts` 에 리소스를 추가합니다.\n\n예시 리소스:\n\n```typescript\nexport const myResource = {\n uri: \"dixa://my-resource\",\n name: \"My Resource\",\n description: \"Description\",\n load: async (args: MyArgs, apiKey: string) => {\n // Implementation\n }\n};\n```\n\n### 새 도구 추가\n\n1. `src/tools/` 에 도구를 생성합니다.\n2. `src/dixa.ts` 에 도구를 추가합니다.\n\n도구 예시:\n\n```typescript\nexport const myTool = {\n name: \"My Tool\",\n description: \"Description\",\n execute: async (args: MyArgs, apiKey: string) => {\n // Implementation\n }\n};\n```\n\n## 오류 처리\n\n이 프로젝트에서는 사용자 정의 오류 클래스를 사용합니다.\n\n* `DixaError` : API 오류에 대한 기본 오류 클래스\n* `DixaValidationError` : 응답 검증 실패 시\n\n## 유리 진열장\n\n> \\[!메모]\n>\n> FastMCP를 사용하여 서버를 개발한 적이 있다면, 여기에 [PR을 제출하여](https://github.com/punkpeye/fastmcp) 소개해주세요!\n\n* \n* - AI 어시스턴트가 회의 봇을 생성하고, 대본을 검색하고, 녹음 데이터를 관리할 수 있도록 하는 Meeting BaaS MCP 서버\n\n## 감사의 말\n\n* FastMCP는 [Jonathan Lowin](https://github.com/jlowin) 의 [Python 구현](https://github.com/jlowin/fastmcp) 에서 영감을 받았습니다.\n* 코드베이스의 일부는 [LiteMCP](https://github.com/wong2/litemcp) 에서 채택되었습니다.\n* 코드베이스의 일부는 [Model Context 프로토콜에서](https://dev.classmethod.jp/articles/mcp-sse/) 채택되었습니다.\n\n## 기여하다\n\n1. 기존 리소스 및 도구 패턴을 따르세요\n2. 적절한 JSDoc 문서를 추가하세요\n3. `types.ts` 및 `config.ts` 의 공유 유틸리티를 사용하세요.\n4. 새로운 기능을 추가하는 경우 README를 업데이트하세요.","Korean","ko-KR",{"_27":60,"_31":64,"_36":65},{"_29":61,"_31":62,"_33":63},"Dixa API 的 FastMCP 服务器实现，使 AI 助手能够搜索、检索和管理客户对话数据和标签。","Dixa MCP 服务器","# Dixa MCP 服务器\n\nDixa API 的 FastMCP 服务器实现，提供用于管理对话和标签的资源和工具。\n\n## 特征\n\n* **资源**\n\n * 搜索对话\n * 获取对话详细信息\n * 获取对话记录\n * 获取对话消息\n * 获取可用标签\n\n* **工具**\n\n * 为对话添加标签\n * 从对话中删除标签\n\n## 项目结构\n\n```\n/src\n├── dixa.ts # Main server setup\n├── config.ts # Configuration and environment settings\n├── types.ts # Shared types and error handling\n├── resources/ # Resource implementations\n├── schemas/ # Zod schemas for validation\n└── tools/ # Tool implementations\n```\n\n## 配置\n\n服务器需要以下环境变量：\n\n* `DIXA_API_KEY` ：您的 Dixa API 密钥\n* `DIXA_API_BASE_URL` （可选）：覆盖默认 API URL（默认为“ ”）\n\n## 用法\n\n1. 设置环境变量：\n\n```bash\n export DIXA_API_KEY='your-api-key'\n```\n\n2. 启动服务器：\n\n ```bash\n npm start\n ```\n\n````\n\n## Running Your Server\n\n### Test with `mcp-cli`\n\nThe fastest way to test and debug your server is with `fastmcp dev`:\n\n```bash\nnpx fastmcp dev server.js\nnpx fastmcp dev server.ts\n````\n\n这将使用[`mcp-cli`](https://github.com/wong2/mcp-cli)运行您的服务器，以便在终端中测试和调试您的 MCP 服务器。\n\n### 使用`MCP Inspector`进行检查\n\n另一种方法是使用官方[`MCP Inspector`](https://modelcontextprotocol.io/docs/tools/inspector)通过 Web UI 检查您的服务器：\n\n```bash\nnpx fastmcp inspect server.ts\n```\n\n## 常问问题\n\n### 如何与 Claude Desktop 一起使用？\n\n按照指南并添加以下配置：\n\n```json\n{\n \"mcpServers\": {\n \"my-mcp-server\": {\n \"command\": \"npx\",\n \"args\": [\n \"tsx\",\n \"/PATH/TO/YOUR_PROJECT/src/index.ts\"\n ],\n \"env\": {\n \"YOUR_ENV_VAR\": \"value\"\n }\n }\n }\n}\n```\n\n## 发展\n\n### 添加新资源\n\n1. 在`src/schemas/`中创建一个模式\n2. 在`src/resources/`中创建资源\n3. 将资源添加到`src/dixa.ts`\n\n示例资源：\n\n```typescript\nexport const myResource = {\n uri: \"dixa://my-resource\",\n name: \"My Resource\",\n description: \"Description\",\n load: async (args: MyArgs, apiKey: string) => {\n // Implementation\n }\n};\n```\n\n### 添加新工具\n\n1. 在`src/tools/`中创建工具\n2. 将工具添加到`src/dixa.ts`\n\n示例工具：\n\n```typescript\nexport const myTool = {\n name: \"My Tool\",\n description: \"Description\",\n execute: async (args: MyArgs, apiKey: string) => {\n // Implementation\n }\n};\n```\n\n## 错误处理\n\n该项目使用自定义错误类：\n\n* `DixaError` ：API 错误的基本错误类\n* `DixaValidationError` ：响应验证失败\n\n## 展示\n\n> \\[！笔记]\n>\n> 如果您使用 FastMCP 开发了服务器，请[提交 PR](https://github.com/punkpeye/fastmcp)来在此处展示它！\n\n* \n* - 会议 BaaS MCP 服务器，使 AI 助手能够创建会议机器人、搜索记录并管理记录数据\n\n## 致谢\n\n* FastMCP 的灵感来自[Jonathan Lowin](https://github.com/jlowin)的[Python 实现](https://github.com/jlowin/fastmcp)。\n* 部分代码库取自[LiteMCP](https://github.com/wong2/litemcp) 。\n* 部分代码库采用[模型上下文协议でSSEをやってみる](https://dev.classmethod.jp/articles/mcp-sse/)。\n\n## 贡献\n\n1. 遵循现有的资源和工具模式\n2. 添加适当的 JSDoc 文档\n3. 使用`types.ts`和`config.ts`中的共享实用程序\n4. 如果添加新功能，请更新 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MCP directory API