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Aifoundry MCPConnector FabricGraphQL
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Aifoundry MCPConnector FabricGraphQL

This project demonstrates how to integrate an AI agent powered by Azure OpenAI with the Microsoft Fabric data warehouse through the Model Context Protocol (MCP), using GraphQL as a common data connection layer to achieve bidirectional access to enterprise data.
DatabaseDeveloper tools#AI agent#Data integration#GraphQL#Microsoft Fabric.Python
2.5 points
10.0K
Open Site

Overview

Content Details

Alternatives

What is an MCP server?

The MCP (Model Context Protocol) server is an open - standard tool for connecting AI agents powered by Azure OpenAI to the Microsoft Fabric data warehouse. It provides dynamic data access capabilities through GraphQL, enabling AI to read from and write to enterprise data.

How to use the MCP server?

Configuration and connection can be completed in just a few steps. First, set up the Fabric backend. Then, configure the local client environment. Finally, interact with the AI agent through the Gradio UI.

Use cases

Suitable for enterprises that need to quickly build AI - driven data analysis solutions, especially for handling complex business problems or generating customized reports.

Main Features

Bidirectional data access
Supports pulling data from Fabric or pushing data to Fabric through GraphQL.
Dynamic tool discovery
Automatically identifies available tools and data resources, simplifying the integration process.
Multilingual support
Compatible with multiple natural language inputs, enhancing the user experience.
Advantages
Seamlessly integrate AI and data warehouse to improve work efficiency.
Based on standard protocols, easy to expand and maintain.
Powerful graphical interface, reducing the technical threshold.
Limitations
Requires pre - configuration of the Fabric environment.
Has certain dependence on network performance.

How to Use

Create a Fabric data warehouse
Create a new data warehouse in Microsoft Fabric and select a sample dataset.
Configure the GraphQL API
Create a GraphQL API endpoint in Fabric and obtain its URL.
Set environment variables
Configure the environment variables required by the local client, such as the Azure OpenAI API address and the Fabric GraphQL endpoint.
Start the MCP client
Run a Python script to start the MCP client and initialize the system.

Usage Examples

Query the average trip duration in the past week
Query the average duration of all trips in the past 7 days through the MCP server.
Add a new trip record
Add a new trip record to Fabric through the MCP server.

Frequently Asked Questions

Does the MCP server support other databases?
How to ensure data security?
Can the MCP server be used offline?

Related Resources

MCP official documentation
Understand the detailed description of the MCP protocol.
YouTube demonstration video
Watch the actual operation demonstration of the MCP server.
GitHub code repository
Get the source code of the MCP server.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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