F

Farzad528 MCP Server Azure Ai Agents

This project provides two MCP server implementations that connect Claude Desktop to Azure search capabilities, supporting searches for document and web content through the Azure AI Agent Service (recommended) or direct Azure AI Search integration.
2.5 points
25

What is the Azure AI Agent Service + Azure AI Search MCP Server?

This is a tool that helps Claude Desktop users search for personal documents and the web through Azure AI services. It offers two implementation methods: Azure AI Agent Service (recommended) and direct Azure AI Search integration.

How to use the Azure AI MCP Server?

You need to install the necessary dependencies first, then configure the environment variables and server scripts. Finally, add the server configuration in Claude Desktop.

Applicable Scenarios

Suitable for professionals who need to quickly find private documents or web information, such as researchers and enterprise users.

Main Features

Azure AI Agent Service IntegrationLeverage the intelligent search function provided by Azure AI Agent Service to optimize document and web search results.
Multiple Search ModesSupport keyword-based, vector, and hybrid search methods to meet different needs.
Source Reference SupportProvide references to the original sources in web searches to ensure information credibility.

Advantages and Limitations

Advantages
Powerful AI-enhanced search capabilities.
Support multiple data sources, including private documents and the web.
Provide clear search result references.
Easy to configure and expand.
Limitations
Require an Azure subscription and service support.
Initial setup may require a certain technical background.
There may be performance limitations for large-scale data sets.

How to Use

Install Dependencies
Create a virtual environment and install the required Python packages.
Configure Environment Variables
Set the relevant parameters of Azure services in the `.env` file.
Run the Server
Start the Azure AI Agent Service or the direct Azure AI Search server.
Configure in Claude Desktop
Edit the configuration file to add a new MCP server.

Usage Examples

Search for Private DocumentsSearch for documents related to artificial intelligence in the Azure AI Search index.
Query Web InformationSearch the web to get the latest research progress on LLMs.
Hybrid SearchCombine keyword and vector searches to find information related to neural networks.

Frequently Asked Questions

How to start using the Azure AI MCP Server?
What if the server doesn't work properly?
Can I customize the search behavior?

Related Resources

Azure AI Search Documentation
Official documentation for Azure AI Search.
Azure AI Agent Service Quick Start
A quick start guide for Azure AI Agent Service.
GitHub Code Repository
The GitHub code repository for this project.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "azure-ai-agent": {
      "command": "C:\\path\\to\\.venv\\Scripts\\python.exe",
      "args": ["C:\\path\\to\\azure_ai_agent_service_server.py"],
      "env": {
        "PROJECT_CONNECTION_STRING": "your-project-connection-string",
        "MODEL_DEPLOYMENT_NAME": "your-model-deployment-name",
        "AI_SEARCH_CONNECTION_NAME": "your-search-connection-name",
        "BING_CONNECTION_NAME": "your-bing-connection-name",
        "AI_SEARCH_INDEX_NAME": "your-index-name"
      }
    }
  }
}

{
     "mcpServers": {
       "azure-search": {
         "command": "C:\\path\\to\\.venv\\Scripts\\python.exe",
         "args": ["C:\\path\\to\\azure_search_server.py"],
         "env": {
           "AZURE_SEARCH_SERVICE_ENDPOINT": "https://your-service-name.search.windows.net",
           "AZURE_SEARCH_INDEX_NAME": "your-index-name",
           "AZURE_SEARCH_API_KEY": "your-api-key"
         }
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.
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