Tiberriver256/mcp-server-azure-devops
by Various
An MCP server for Azure DevOps
MCP
Tiberriver256/mcp-server-azure-devops
Added 1 June 2026
Overview
An MCP server that connects AI assistants to Azure DevOps services. It enables querying and managing work items, repositories, and other Azure DevOps resources through the Model Context Protocol. Built in TypeScript, it runs as a standalone server process.
Best for
Best for
Developers using Azure DevOps who want AI assistants to interact with their project management and code repositories
Use cases
- Integrate AI coding assistants with Azure DevOps boards
- Automate work item creation and updates via natural language
- Query Azure DevOps repositories and pull requests from AI chat interfaces
How to use
Install
npx -y @tiberriver256/mcp-server-azure-devops Tools exposed
AZURE_DEVOPS_AUTH_METHODAZURE_DEVOPS_ORG_URLAZURE_DEVOPS_PATAZURE_DEVOPS_DEFAULT_PROJECTAZURE_DEVOPS_API_VERSIONAZURE_TENANT_IDAZURE_CLIENT_IDAZURE_CLIENT_SECRETLOG_LEVEL
Tested with
Claude Desktop, Cursor
Notes
An MCP server that connects AI assistants to Azure DevOps services. It enables querying and managing work items, repositories, and other Azure DevOps resources through the Model Context Protocol. Built in TypeScript, it runs as a standalone server process.
370 stars on GitHub. Last updated 2026-02-05. Licensed MIT.
Use cases
- Integrate AI coding assistants with Azure DevOps boards
- Automate work item creation and updates via natural language
- Query Azure DevOps repositories and pull requests from AI chat interfaces
Pros
- Open source with 370 GitHub stars indicating community trust
- TypeScript implementation for type safety and easy integration
- Standard MCP protocol allows compatibility with multiple AI clients
Cons
- Requires running a separate server process alongside AI tools
- Limited to Azure DevOps; no support for other DevOps platforms
- Dependency on MCP protocol adoption which is still evolving
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source with 370 GitHub stars indicating community trust
- TypeScript implementation for type safety and easy integration
- Standard MCP protocol allows compatibility with multiple AI clients
Cons
- Requires running a separate server process alongside AI tools
- Limited to Azure DevOps; no support for other DevOps platforms
- Dependency on MCP protocol adoption which is still evolving
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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