Experimental MCP Service for Azure AI Search
Overview
What is MCP Server for Azure AI Search?
MCP Server for Azure AI Search is an experimental service that allows users to interact with Azure's AI Search capabilities through a Python interface.
How to use MCP Server for Azure AI Search?
To use the MCP Server, you need to configure a Service Principal for authentication, install the necessary dependencies, and run the server using the provided commands. You can also clone the repository and run the service directly from the main.py file.
Key features of MCP Server for Azure AI Search?
- Retrieve a list of AI Search indices.
- Get details about specific AI Search services.
- Create and update indices.
- Run queries against indices.
- Manage indexers and data sources.
Use cases of MCP Server for Azure AI Search?
- Managing and querying AI Search indices for applications.
- Automating the creation and updating of search indices.
- Integrating AI Search capabilities into Python applications.
FAQ from MCP Server for Azure AI Search?
- What is the purpose of this service?
It provides a Python interface to manage and interact with Azure AI Search services.
- Is this service stable?
No, it is currently experimental and may change without notice.
- What are the prerequisites for using this service?
You need Python 3.12 or later and the 'uv' module installed.
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