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.
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). This GitHub repository contains the outdated information on the previous experimental server implementation, and will not be updated further.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 agents in Microsoft Foundry. The tools are extensible, letting developers and agents interact with services without knowing backend APIs or data schemas.
- Accelerated agent and developer productivity: Natural language workflows (via MCP clients and large language models) enable rapid tool discovery and invocation, streamlining development and multi-agent orchestration.
The rest of this repo (including codebase) explains the now-deprecated MCP Server that interactes with Azure AI Foundry (experimental).
Available Tools
Capabilities: Models
| Category | Tool | Description |
|---|---|---|
| Explore | list_models_from_model_catalog | Retrieves a list of supported models from the Azure AI Foundry catalog. |
| | list_azure_ai_foundry_labs_projects | Retrieves a list of state-of-the-art AI models from Microsoft Research available in Azure AI Foundry Labs. |
| | get_model_details_and_code_samples | Retrieves detailed information for a specific model from the Azure AI Foundry catalog. |
| Build | get_prototyping_instructions_for_github_and_labs | Provides comprehensive instructions and setup guidance for starting to work with models from Azure AI Foundry and Azure AI Foundry Labs. |
| Deploy | get_model_quotas | Get model quotas for a specific Azure location. |
| | create_azure_ai_services_account | Creates an Azure AI Services account. |
| | list_deployments_from_azure_ai_services | Retrieves a list of deployments from Azure AI Services. |
| | deploy_model_on_ai_services | Deploys a model on Azure AI Services. |
| | create_foundry_project | Creates a new Azure AI Foundry project. |
Capabilities: Knowledge
| Category | Tool | Description |
|---|---|---|
| Index | list_index_names | Retrieve all names of indexes from the AI Search Service |
| | list_index_schemas | Retrieve all index schemas from the AI Search Service |
| |
... View full README on GitHub
