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Mastra Docs Chatbot MCP Server

@adeniyii

代码仓库主页

基本信息

分类

AI 与智能体

传输方式

stdio

作者

adeniyii

关于 Mastra Docs Chatbot MCP Server

test chatbot using mastra's mcp docs server

Mastra Docs Chatbot MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Mastra Docs Chatbot MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Mastra Docs Chatbot?

Mastra Docs Chatbot is a Next.js application that uses Mastra agents with Model Context Protocol (MCP) integration to provide a chat interface for answering questions about Mastra documentation, code examples, and best practices. It is designed for developers and users of Mastra who need quick, accurate documentation assistance.

How to use Mastra Docs Chatbot?

Clone the repository, install dependencies with npm install or pnpm install, configure a .env.local file with your OpenAI API key, then run npm run dev or pnpm dev and open http://localhost:3000. The homepage features the Docs Agent, which answers questions about Mastra documentation and maintains conversation history across sessions.

Key features of Mastra Docs Chatbot

  • Specialized Mastra agent with custom model and tools
  • Model Context Protocol (MCP) integration for documentation search
  • Real-time streaming responses
  • Conversation memory between sessions
  • Modern UI built with Assistant UI components

Use cases of Mastra Docs Chatbot

  • Answering questions about Mastra documentation and concepts
  • Providing code examples and best practices for Mastra
  • Searching through Mastra examples, blog posts, and changelog information
  • Maintaining conversational context across multiple sessions

常见问题

1

What is the Docs Agent?

The Docs Agent is a Mastra agent that uses the Mastra MCP docs server to provide accurate information about Mastra documentation, code examples, and best practices.

2

What are the prerequisites for running the app?

You need Node.js 18 or later, npm or pnpm, and an OpenAI API key to configure in a `.env.local` file.

3

How does the app access documentation?

It uses Mastra agents with Model Context Protocol (MCP) integration to search through Mastra documentation, examples, blog posts, and package changelog information.

4

Does the app require an internet connection?

Yes, it requires an OpenAI API key and accesses external documentation via MCP, so an internet connection is needed during use.

5

What transport or authentication is used?

Authentication is handled via the OpenAI API key set in the environment variable `OPENAI_API_KEY`. The transport is standard HTTP/HTTPS for API calls and MCP integration.

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