Model Context Protocol Servers for Azure AI Search
Overview
What is Azure AI Search MCP Server?
Azure AI Search MCP Server is a Model Context Protocol (MCP) server that integrates with Azure AI Search, allowing Claude Desktop to query search indexes using keyword, vector, or hybrid methods.
How to use Azure AI Search MCP Server?
To use the server, set up your project directory, create a .env file with your Azure Search credentials, set up a virtual environment, install dependencies, and configure Claude Desktop to recognize the MCP server.
Key features of Azure AI Search MCP Server?
- Seamless integration with Claude Desktop and Azure AI Search.
- Supports multiple search methods: keyword, vector, and hybrid searches.
- Customizable for additional tools and search logic modifications.
Use cases of Azure AI Search MCP Server?
- Searching for specific information in Azure Search indexes.
- Utilizing semantic similarity for more relevant search results.
- Combining different search methods for enhanced query capabilities.
FAQ from Azure AI Search MCP Server?
- What programming language is used?
The server is implemented in Python, requiring version 3.10 or higher.
- What are the system requirements?
You need Azure AI Search Service configured with an index, Claude Desktop, and either Windows or macOS.
- How can I troubleshoot issues?
Check Claude Desktop logs, verify file paths and environment variables, and test running the server directly.