M

MCP Foundry

The Azure AI Agent Service MCP Server integrates the functions of Azure AI Foundry, supports connecting to existing Azure AI agents, and provides capabilities such as security authentication, session memory, and multi-tool invocation.
2 points
16

What is the Azure AI Agent MCP Server?

This is a middleware service that allows you to interact with Azure AI agents through the standard MCP protocol. It acts as a bridge, converting MCP client requests into a format that Azure AI agents can understand.

How to use this service?

You need to configure the Azure environment first, and then connect through an MCP-compatible client (such as Claude Desktop). The service supports conversations with specific agents or using the default agent.

Applicable scenarios

Suitable for scenarios that require integrating the capabilities of Azure AI agents into existing workflows, such as customer support automation, knowledge retrieval, and task automation.

Main features

Agent integrationConnect your existing Azure AI agents without additional development
Workflow integrationUse your agents directly in any MCP client
SecurityUse Azure credentials for secure connections
Conversation memoryEach client session maintains an independent conversation history

Advantages and limitations

Advantages
Seamlessly integrate the powerful functions of the Azure AI ecosystem
Support multiple models and knowledge tools (such as Azure AI Search and Bing Web Grounding)
Provide a standardized MCP interface, compatible with multiple clients
Limitations
Require an Azure subscription and AI agent configuration
Initial setup requires certain technical knowledge
Depend on the availability of Azure services

How to use

Set up the Azure environment
Create an Azure AI agent and obtain the project connection string
Configure environment variables
Set PROJECT_CONNECTION_STRING and the optional DEFAULT_AGENT_ID
Install dependencies
Install the necessary Python or TypeScript dependencies
Start the server
Run the Python or TypeScript version of the server

Usage examples

Technical support Q&AUse Azure AI agents to answer technical questions
Knowledge retrievalFind information from the enterprise knowledge base
Multi-round conversationMaintain a continuous conversation with context

Frequently Asked Questions

How to obtain the Azure AI agent ID?
Which MCP clients does the service support?
How long is the conversation memory saved?
Can I connect to multiple agents simultaneously?

Related resources

GitHub repository
Project source code and latest updates
Azure AI Community Discord
Get community support and discussions
Azure AI Foundry documentation
Official Azure AI Foundry documentation
MCP protocol specification
Detailed specification of the Model Context Protocol
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "azure-agent": {
      "command": "uv",
      "args": [
        "--directory",
        "/ABSOLUTE/PATH/TO/PARENT/FOLDER",
        "run",
        "-m",
        "azure_agent_mcp_server"
      ],
      "env": {
        "PROJECT_CONNECTION_STRING": "your-project-connection-string",
        "DEFAULT_AGENT_ID": "your-default-agent-id"
      }
    }
  }
}

{
  "mcpServers": {
    "azure-agent": {
      "command": "python",
      "args": ["-m", "azure_agent_mcp_server"],
      "cwd": "/ABSOLUTE/PATH/TO/PARENT/FOLDER",
      "env": {
        "PYTHONPATH": "/ABSOLUTE/PATH/TO/PARENT/FOLDER",
        "PROJECT_CONNECTION_STRING": "your-project-connection-string",
        "DEFAULT_AGENT_ID": "your-default-agent-id"
      }
    }
  }
}

{
  "mcpServers": {
    "azure-agent": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/mcp-foundry/src/typescript/build/index.js"],
      "env": {
        "PROJECT_CONNECTION_STRING": "your-project-connection-string",
        "DEFAULT_AGENT_ID": "your-default-agent-id"
      }
    }
  }
}
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