Azure AI Agent Service MCP Server

what is MCP Foundry? MCP Foundry is an Azure AI Agent Service MCP Server that integrates with Azure AI Foundry, enabling connections to existing Azure AI Agents and utilizing various models and knowledge tools available within Azure AI Foundry. how to use MCP Foundry? To use MCP Foundry, set up your Azure AI Agents, configure the server with your project connection string and agent IDs, and run the server to connect with any MCP-compatible client. key features of MCP Foundry? 🤖 Agent Integration: Connect to your existing Azure AI Agents. 🔄 Seamless Workflow: Use your agents directly within any MCP client. 🛡️ Secure: All connections use your Azure credentials. 🧠 Conversation Memory: Each client session maintains isolated conversation history. use cases of MCP Foundry? Integrating Azure AI Agents into custom applications. Facilitating seamless communication between multiple AI agents. Enhancing AI capabilities in existing projects with Azure AI tools. FAQ from MCP Foundry? How do I set up my Azure AI Agents? You can create Azure AI Agents through Azure AI Foundry and note your connection string and agent IDs for configuration. Is there a specific programming language required? The server is built using Python, and you need Python 3.10+ to run it. What is the license for MCP Foundry? MCP Foundry is licensed under the MIT License, allowing free use, modification, and distribution.

As an MCP (Model Context Protocol) server, Azure AI Agent Service MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use MCP Foundry, set up your Azure AI Agents, configure the server with your project connection string and agent IDs, and run the server to connect with any MCP-compatible client. key features of MCP Foundry? 🤖 Agent Integration: Connect to your existing Azure AI Agents. 🔄 Seamless Workflow: Use your agents directly within any MCP client. 🛡️ Secure: All connections use your Azure credentials. 🧠 Conversation Memory: Each client session maintains isolated conversation history. use cases of MCP Foundry? Integrating Azure AI Agents into custom applications. Facilitating seamless communication between multiple AI agents. Enhancing AI capabilities in existing projects with Azure AI tools. FAQ from MCP Foundry? How do I set up my Azure AI Agents? You can create Azure AI Agents through Azure AI Foundry and note your connection string and agent IDs for configuration. Is there a specific programming language required? The server is built using Python, and you need Python 3.10+ to run it. What is the license for MCP Foundry? MCP Foundry is licensed under the MIT License, allowing free use, modification, and distribution.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.