Azure Content Understanding Mcp Server
What is Azure Content Understanding Mcp Server
The azure-content-understanding-mcp-server is a Model Context Protocol (MCP) server designed to integrate Azure Content Understanding capabilities with AI systems, allowing content analysis tools to be accessed through a standardized MCP interface.
Use cases
Use cases include analyzing documents for insights, automating content categorization, and integrating content understanding capabilities into AI-driven applications.
How to use
To use the azure-content-understanding-mcp-server, ensure you have the .NET 9.0 SDK, an Azure subscription with the Content Understanding service, and an Azure Blob Storage account. Configure the server with the necessary environment variables and run the project using the provided command.
Key features
Key features include document analysis across various file formats using Azure Content Understanding services, and support for multiple analyzers based on content type or data requirements.
Where to use
The azure-content-understanding-mcp-server can be utilized in fields such as document processing, data extraction, and any application requiring content analysis and understanding.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Azure Content Understanding Mcp Server
The azure-content-understanding-mcp-server is a Model Context Protocol (MCP) server designed to integrate Azure Content Understanding capabilities with AI systems, allowing content analysis tools to be accessed through a standardized MCP interface.
Use cases
Use cases include analyzing documents for insights, automating content categorization, and integrating content understanding capabilities into AI-driven applications.
How to use
To use the azure-content-understanding-mcp-server, ensure you have the .NET 9.0 SDK, an Azure subscription with the Content Understanding service, and an Azure Blob Storage account. Configure the server with the necessary environment variables and run the project using the provided command.
Key features
Key features include document analysis across various file formats using Azure Content Understanding services, and support for multiple analyzers based on content type or data requirements.
Where to use
The azure-content-understanding-mcp-server can be utilized in fields such as document processing, data extraction, and any application requiring content analysis and understanding.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Azure Content Understanding MCP Server
This project provides a Model Context Protocol (MCP) server for integrating Azure Content Understanding capabilities with AI systems. The server allows content analysis tools to be exposed through a standard MCP interface.
Project Structure
- ContentUnderstanding.MCP.Server.Stdio: Core MCP server implementation using standard I/O for communication
- ContentUnderstanding.MCP.Tools: Library containing tools for content analysis and Azure - Content Understanding API integration
Features
- Document Analysis: Analyze various file formats using Azure Content Understanding service
- Multiple Analyzer Support: Retrieve and use different analyzers based on content type or your data requirements.
Getting Started
Prerequisites
- .NET 9.0 SDK
- Azure subscription with Content Understanding service
- Azure Blob Storage account
Tools and Components
Content Understanding Client
The ContentUnderstandingClient provides methods for interacting with Azure Content Understanding:
- Create and update analyzers
- List available analyzers
- Submit documents for analysis
- Retrieve analysis results
Document Analysis
The AnalyzeDocument class handles the end-to-end process:
- Upload the document to Azure Blob Storage
- Submit for analysis via Content Understanding API
- Poll for analysis completion
- Return structured results
- Clean up temporary blob storage
Sample MCP Configuration
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
