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

This repo demonstrates the integration of an Azure OpenAI-powered AI agent with a Microsoft Fabric data warehouse using the Model Context Protocol (MCP), open integration standard for AI agents by Anthropic.

MCP enables dynamic discovery of tools, data resources and prompt templates (with more coming soon), unifying their integration with AI agents. GraphQL provides an abstraction layer for universal data connection. Below, you will find detailed steps on how to combine MCP and GraphQL to enable bidirectional access to enterprise data for your AI agent.

[!NOTE] In the MCP server’s script, some query parameter values are hard-coded for the sake of this example. In a real-world scenario, these values would be dynamically generated or retrieved.

Table of contents:

• Part 1: Configuring Microsoft Fabric Backend
• Part 2: Configuring Local Client Environment
• Part 3: User Experience - Gradio UI
• Part 4: Demo video on YouTube

Part 1: Configuring Microsoft Fabric Backend

1. In Microsoft Fabric, create a new data warehouse pre-populated by sample data by clicking New item -> Sample warehouse:
2. Next, create a GraphQL API endpoint by clicking New item -> API for GraphQL:
3. In the data configuration of GraphQL API, choose the Trip (dbo.Trip) table:
4. Copy the endpoint URL of your GraphQL API:

Part 2: Configuring Local Client Environment

1. Install the required Python packages, listed in the provided requirements.txt:

pip install -r requirements.txt

2. Configure environment variables for the MCP client:

3. Set the value of the AZURE_FABRIC_GRAPHQL_ENDPOINT variable with the GraphQL endpoint URL from Step 1.4 above. It will be utilised by the MCP Server script to establish connectivity with Microsoft Fabric: