Azure DevOps MCP (Model Context Protocol)
Working implementation of a SSE Server MCP for interfacing with Azure Devops
What is Azure DevOps MCP (Model Context Protocol)?
What is Azure DevOps MCP? Azure DevOps MCP (Model Context Protocol) is a reference server implementation that allows AI assistants to interact with Azure DevOps resources programmatically. How to use Azure DevOps MCP? To use Azure DevOps MCP, clone the repository, install the dependencies, configure the environment variables, and start the server. You can then interact with Azure DevOps using the provided endpoints. Key features of Azure DevOps MCP? Integration with Azure DevOps using the official Node.js SDK Support for Model Context Protocol (MCP) Project management operations Work item management Repository operations Code search capabilities Use cases of Azure DevOps MCP? Automating project management tasks in Azure DevOps. Managing work items programmatically. Performing repository operations and code searches through an AI assistant. FAQ from Azure DevOps MCP? What are the prerequisites for using Azure DevOps MCP? You need Node.js (v18 or higher), an Azure DevOps account, and a Personal Access Token (PAT). How do I configure the environment variables? Copy .env.example to .env and fill in the required variables such as AZURE_DEVOPS_ORG_URL and AZURE_DEVOPS_PAT. Is there a license for Azure DevOps MCP? Yes, the project is licensed under the MIT License.
As an MCP (Model Context Protocol) server, Azure DevOps MCP (Model Context Protocol) enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Azure DevOps MCP (Model Context Protocol)
To use Azure DevOps MCP, clone the repository, install the dependencies, configure the environment variables, and start the server. You can then interact with Azure DevOps using the provided endpoints. Key features of Azure DevOps MCP? Integration with Azure DevOps using the official Node.js SDK Support for Model Context Protocol (MCP) Project management operations Work item management Repository operations Code search capabilities Use cases of Azure DevOps MCP? Automating project management tasks in Azure DevOps. Managing work items programmatically. Performing repository operations and code searches through an AI assistant. FAQ from Azure DevOps MCP? What are the prerequisites for using Azure DevOps MCP? You need Node.js (v18 or higher), an Azure DevOps account, and a Personal Access Token (PAT). How do I configure the environment variables? Copy .env.example to .env and fill in the required variables such as AZURE_DEVOPS_ORG_URL and AZURE_DEVOPS_PAT. Is there a license for Azure DevOps MCP? Yes, the project is licensed under the MIT License.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Azure DevOps MCP (Model Context Protocol) can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Azure DevOps MCP (Model Context Protocol) provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.