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Search, query, and manage Azure AI Search indexes and documents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Azure AI Search MCP Server" yet — see the docs or source repo.
Use the Azure AI Search MCP Server to search for "enterprise data governance" in the knowledge-base index, return the top 5 results with semantic search, and summarize the key point of each document.
A list of the 5 most relevant documents with short summaries for quick review.
Run a vector search in the product-docs index for this text: "a project management platform for large team collaboration," return the 10 most similar documents, and rank them by similarity.
A similarity-ranked list of candidate documents for recommendations or semantic matching.
Inspect the schema of the customer-faq index and confirm whether it supports semantic search; if the description field is missing, suggest how to add the field and update documents in bulk.
An index schema review with actionable recommendations for index and document maintenance.
Manage Azure AI Search indexes, indexers, and documents using natural language.
Search Azure service updates, retirements, and feature announcements in natural language.
Use natural language to search, analyze, and manage Elasticsearch data.
Manage Azure infrastructure and cloud resources using natural language commands.
Interact with MongoDB using natural language for schema, CRUD, aggregation, and indexes.
Query and manage Microsoft SQL Server databases with natural language.