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Manage Azure AI Search indexes, indexers, and documents using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server-azure-ai-search-python-preview" yet — see the docs or source repo.
List all indexes in the current Azure AI Search service and summarize each index's fields, primary key, and filterable fields.
A list of indexes with a concise summary of each index's key schema details.
Write this batch of product data into the products index; update records if the key exists, otherwise insert them, and report success and failure counts.
Documents are inserted or updated in bulk, with a summary of write results.
Check the run status of all indexers, identify failed or long-idle ones, and provide actionable troubleshooting suggestions.
A status report of indexers highlighting problematic items and suggested next steps.
Search, query, and manage Azure AI Search indexes and documents.
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.
Search enterprise documents in natural language across PDF, PPT, and Word files.
Deploy an auth-free web search MCP server for AI tool integration.