{"id":"microsoft-foundry-mcp-foundry","name":"mcp-foundry","af_score":42.8,"security_score":54.5,"reliability_score":20.0,"what_it_does":"mcp-foundry is an MCP (Model Context Protocol) server (Python/stdio) intended to provide a unified set of tools for Azure AI Foundry, covering model discovery/details, deployment-related operations, knowledge/index management for Azure AI Search, evaluation utilities for text/agents, and fine-tuning/job status and related management. The README indicates this repo is a deprecated/older experimental implementation and that a newer Foundry MCP Server exists as a cloud-hosted preview.","best_when":"You want agent-driven orchestration of Azure AI Foundry and related Azure services from an MCP client, and you can supply the required environment variables for the targeted operations.","avoid_when":"You require high operational stability/long-term support for this specific repository, or you need an officially supported cloud-hosted Foundry MCP endpoint rather than a local/deprecated implementation.","last_evaluated":"2026-03-30T13:36:09.287354+00:00","has_mcp":true,"has_api":false,"auth_methods":["Environment-variable based credentials for Azure services (service principal or API key for Azure AI Search)","Azure OpenAI API key (via environment variables) for evaluation-related tools","GitHub token (optional) for model testing"],"has_free_tier":false,"known_gotchas":["Repository is marked experimental/deprecated; it may stop receiving updates in favor of the cloud-hosted Foundry MCP Server","Many operations require correctly set environment variables; missing/incorrect credentials can cause tool failures","State-changing actions (create/delete/modify) can be risky in agent loops because idempotency and retry guidance are not documented"],"error_quality":0.0}