MCP Connector: Integrating AI agent with Data Warehouse in Micro…

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

@LazaUK

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT license

传输方式

stdio

作者

LazaUK

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

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

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

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代码仓库

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

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概览

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

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