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Quick Example MCP Server

@justmywyw

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その他

トランスポート

stdio

作者

justmywyw

投稿者

wyw

Quick Example MCP Server について

概要はまだありません

#mcp#llm#standardization

Quick Example MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "quick-example": {
      "command": "npx",
      "args": [
        "-y",
        "mcprouter"
      ]
    }
  }
}

Quick Example 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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Quick Example?

Quick Example is a sample MCP (Model Context Protocol) server that demonstrates the core MCP capabilities—tools, resources, and prompts—by building a simple knowledgebase chatbot flow. It is intended for developers learning how to create and integrate MCP servers with LLM applications.

How to use Quick Example?

Clone the repository, create a ChromaDB vector database as described in the provided Jupyter notebook, set up a virtual environment (recommended with uv), install dependencies via uv sync, then run python client.py mcp_server.py to start both the client and server.

Key features of Quick Example

  • Demonstrates tools, resources, and prompts in a single server
  • Integrates a vector database for RAG-style queries
  • Allows users to choose existing resources for context
  • Provides reusable prompt templates for analytical workflows
  • Includes a simple CLI client for testing interaction patterns

Use cases of Quick Example

  • Learning how to implement MCP server components (tools, resources, prompts)
  • Prototyping a knowledgebase chatbot with retrieval augmented generation
  • Testing MCP client-server communication patterns

よくある質問

1

What components does the Quick Example server include?

The server includes tools (functions the LLM can invoke, like querying a vector database), resources (data sources identified by URIs), and prompts (reusable templates for common tasks).

2

What are the runtime dependencies?

The server requires a Python virtual environment, dependencies installed via `uv sync`, and a pre-built ChromaDB vector database (created from the provided notebook).

3

Where does the vector database data live?

The ChromaDB database is created locally by following the instructions in `MCP_setup.ipynb`—no external data storage is used by default.

4

What transport or authentication does the server use?

The server uses standard MCP protocol communication; the example client in `client.py` connects via a subprocess (stdio transport). No authentication is described.

5

How does this example differ from production MCP servers?

This is a learning example, not a production-ready server. It focuses on illustrating the three core MCP components (tools, resources, prompts) in a simple knowledgebase scenario.

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