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Mastra Docs Chatbot MCP Server

@adeniyii

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基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

adeniyii

Mastra Docs Chatbot MCP Server について

test chatbot using mastra's mcp docs server

Mastra Docs Chatbot 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。

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Mastra Docs Chatbot 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 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

よくある質問

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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