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What?

@bkakadiya

リポジトリ

What? について

Sample Application showing Agentic AI using MCP servers interacting with REST Services, Database and File Store

基本情報

カテゴリ

推論

ランタイム

python

トランスポート

stdio

公開者

bkakadiya

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": {
    "agentic-ai-mcp": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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 What?

What? is a sample application demonstrating Agentic AI using an MCP server that connects to a REST API, PostgreSQL database, and document storage. It is intended for developers learning to build AI agents that interact with multiple data sources via the MCP protocol.

How to use What?

Install UV and dependencies from pyproject.toml, activate a virtual environment, and populate sample financial transaction data with python util/populate_data.py. Configure the MCP client (Claude for Windows) by placing a modified claude_desktop_config.json in the Claude app data folder, then restart Claude Desktop.

Key features of What?

  • Sample application for Agentic AI with MCP
  • Connects to REST API, PostgreSQL, Document Storage
  • Populates financial transaction test data
  • Configured for Claude Desktop as MCP client

Use cases of What?

  • Learning how to build an MCP server that aggregates REST, database, and document sources
  • Prototyping an AI agent that answers queries using financial transaction data

FAQ from What?

What dependencies does What? require?

Python, UV, a virtual environment, and packages defined in pyproject.toml. It also requires an Alpha Vantage API key and PostgreSQL credentials.

How do I populate sample data?

Run python util/populate_data.py after installing dependencies.

How is the MCP client configured?

Copy the sample config file from config/sample_claude_desktop_config.json to the Claude app data folder, rename it, and update the API key and database connection details.

コメント

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