Exposes Azure AI Foundry agents, workflows, and AI Search vector-database capabilities as MCP tools, enabling natural language interaction with agents, semantic search, and index management.
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process.env. You'll be asked to provide them before it can run.AZURE_AI_PROJECT_ENDPOINT— For agent tools AI Foundry project endpoint – https://<account>.services.ai.azure.com/api/projects/<project>AZURE_AI_SEARCH_ENDPOINT— For search/index tools Azure AI Search service endpoint URLAZURE_AI_SEARCH_INDEX_NAME— No Search index name (default: project-log-index)AZURE_OPENAI_ENDPOINT— No OpenAI-compatible endpoint (falls back to AZURE_AI_PROJECT_ENDPOINT)AZURE_OPENAI_EMBEDDING_MODEL— For search/index tools Embedding model deployment name (default: text-embedding-3-small)AZURE_OPENAI_EMBEDDING_DIMENSIONS— No Embedding vector size (default: 1536)AZURE_OPENAI_COMPLETION_MODEL_NAME— For workflow tools Completion model deployment name in the Foundry accountRUNNING_IN_PRODUCTIONAZURE_CLIENT_IDAZURE_OPENAI_API_VERSIONAPPLICATIONINSIGHTS_CONNECTION_STRING— No Application Insights connection string for telemetry[](https://m8ven.ai/mcp/denniszielke-foundry-agents-mcp-server-lunhin)