MCP server for on-prem Azure DevOps: repos, pull requests, work items, and wiki.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"devops-onprem": {
"env": {
"DEVOPS_API_URL": "https://your-devops-server/your-organization/your-project",
"DEVOPS_PASSWORD": "your-password",
"DEVOPS_USERNAME": "DOMAIN\\your-username"
},
"args": [
"mcp-devops-onpremise@latest"
],
"command": "uvx"
}
}
}Are you the author?
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Model Context Protocol MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis.
No automated test available for this server. Check the GitHub README for setup instructions.
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No known CVEs.
No package registry to scan.
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Model Context Protocol MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis.
Many organizations use on-premise DevOps solutions such as TFS or Azure DevOps Server in their projects. Integrating these systems with modern agentic AI tools and LLMs can be difficult. The official Microsoft Azure DevOps MCP server does not support these environments and is unlikely to support them in the future.
This MCP server closes that gap and enables smooth integration with on-premise DevOps systems.
This project is under active development, with features continuously added to meet current requirements. Community needs are highly valued — if you miss any features, please submit an Issue. User-requested features are fast-tracked and will be prioritized and added as soon as possible.
One of the most important features of this MCP server is NTLM authentication support. NTLM is required by many on-premises and enterprise environments where users authenticate with Windows domain credentials, either directly or over VPN. Most MCP servers for Azure DevOps target only cloud-hosted Azure DevOps Services with token-based auth and cannot connect to these environments.
Python 3.10+ and uv are required. If not yet installed, see installation guide.
Click one of the buttons below to install directly in your IDE. You will be prompted for credentials: