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

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

@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

基本信息

分类

AI 与智能体

许可证

MIT license

运行时

python

传输方式

stdio

发布者

LazaUK

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

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.