mcp-server-azure-ai-search-python-preview
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Experimental MCP Service for Azure AI Search provides capabilities to manage and query AI Search Indices.
The Experimental MCP Service for Azure AI Search is designed to facilitate the management and querying of AI Search Indices. It offers a range of functionalities including retrieving a list of AI Search Indices, getting details about specific AI Search Services, creating and updating indices, running queries, and managing indexers. This service is currently in an experimental phase, meaning that its features are still being tested and may change without notice. Users are advised to proceed with caution and verify AI-generated content for accuracy. The service requires Python 3.12 or later and the installation of 'uv' for operation. Authentication can be done via a Service Principal or an API key, and environment variables need to be configured accordingly.
Features
- Retrieve a List of AI Search Indices
- Get Details about AI Search Service Schema and Configuration
- Create and Update Indices
- Run Queries against AI Search Indices
- Manage Indexers
Tools
list_index_names
Retrieve all names of indexes from the AI Search Service
create_index
Creates a new index
query_index
Searches a specific index to retrieve matching documents
create_indexer
Create a new indexer in the Search Service with the skill, index and data source
