Foundry
Provides a Model Context Protocol server offering a unified set of tools for interacting with Azure AI Foundry, including capabilities for models, knowledge, evaluation, and finetuning.
About
This experimental Model Context Protocol (MCP) server is specifically designed for Azure AI Foundry, integrating a comprehensive suite of tools for AI development within the Azure ecosystem. It enables users to explore, build, and deploy AI models, manage knowledge bases through Azure AI Search services, conduct thorough evaluations of both text and agent-based AI systems, and oversee finetuning jobs. The tool streamlines the workflow for AI practitioners by centralizing access to diverse Azure AI capabilities.
Key Features
- Manage Azure AI Foundry models, including exploration, prototyping, and deployment.
- Control Azure AI Search services for indexing, querying, and maintaining knowledge bases.
- Perform comprehensive text and agent evaluations on AI models and responses.
- Monitor and manage AI model finetuning jobs, including status, events, and performance metrics.
- Execute dynamic API calls through a Swagger specification for advanced integration scenarios.
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Use Cases
- Evaluate the performance and quality of AI models and agents using a variety of evaluators and generate detailed reports.
- Discover and compare various AI models available in the Azure AI Foundry catalog.
- Build and maintain knowledge bases by creating, modifying, and querying indexes within Azure AI Search.
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