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MCP Connector: Integrating AI agent with Data Warehouse in Microsoft Fabric

@LazaUK

リポジトリ

MCP Connector: Integrating AI agent with Data Warehouse in Microsoft Fabric について

MCP Client and Server apps to demo integration of Azure OpenAI-based AI agent with a Data Warehouse, exposed through GraphQL in Microsoft Fabric.

#graphql#agent#ai#azure#data-warehouse#openai#microsoft-fabric#mcp-server#mcp-client

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

LazaUK

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。

リポジトリ

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 MCP Connector: Integrating AI agent with Data Warehouse in Microsoft Fabric?

This is a demonstration repository that integrates an Azure OpenAI‑powered AI agent with a Microsoft Fabric data warehouse using the Model Context Protocol (MCP) and GraphQL. It enables dynamic discovery of tools and data resources for bidirectional access to enterprise data.

How to use MCP Connector: Integrating AI agent with Data Warehouse in Microsoft Fabric?

Configure a Microsoft Fabric data warehouse with a sample table and create a GraphQL API endpoint. Then set up a local environment with the required Python packages (pip install -r requirements.txt) and environment variables: AOAI_API_BASE, AOAI_API_VERSION, AOAI_DEPLOYMENT, and AZURE_FABRIC_GRAPHQL_ENDPOINT. Finally, launch the MCP client by running python MCP_Client_Gradio.py and click “Initialise System” to connect the AI agent.

Key features of MCP Connector: Integrating AI agent with Data Warehouse in Microsoft Fabric

  • Integrates Azure OpenAI agent with Microsoft Fabric
  • Uses MCP for dynamic tool discovery
  • Employs GraphQL as universal data abstraction

コメント

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