MCP Server for Azure AI Foundry (experimental)
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# MCP Server that interacts with Azure AI Foundry (experimental) A Model Context Protocol server for Azure AI Foundry, providing a unified set of tools for models, knowledge, evaluation, and more. [](https://github.com/azure-ai-foundry/mcp-foundry/watchers) [](https://github.com/azure-ai-foundry/mcp-foundry/fork) [](https://github.com/azure-ai-foundry/mcp-foundry/stargazers) [](https://discord.gg/REmjGvvFpW) ## Important notice MCP Server for Azure AI Foundry (experimental) has moved to the cloud, now as Foundry MCP Server (preview). Please check the official public documentation at [Get started with Foundry MCP Server (preview)](https://learn.microsoft.com/azure/ai-foundry/mcp/get-started?view=foundry&tabs=user). This GitHub repository contains the outdated information on the previous experimental server implementation, and will not be updated further. Instead, refer to the new, remotely hosted and managed Foundry MCP Server, that has the following benefits: - **Cloud-hosted interface for AI tool orchestration**: Foundry MCP Server (preview) provides a secure, scalable endpoint for MCP-compliant clients. You don't need to deploy infrastructure, enabling seamless integration and multi-agent scenarios. - **Identity and access control**: The server enforces authentication and authorization with Microsoft Entra ID. It performs all operations within the authenticated user's permissions (On-Behalf-Of flow). - **Scenario-focused, extensible tools**: The MCP Server exposes a growing set of tools for read and write operations on models, deployments, evaluations, and…
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