Provides AI assistants with comprehensive access to Azure DevOps services including work items, repositories, pull requests, wikis, builds, pipelines, and test plans through 25+ MCP tools with multi-project support.
Enables seamless interaction with Azure DevOps for managing Git repositories, branches, and pull requests through natural language. It also supports automating and monitoring pipelines while providing secure, type-safe operations within MCP-compatible clients.
Provides Azure DevOps integration through MCP, enabling management of projects, work items, teams, and policies via natural language. Supports bulk work item creation with hierarchical relationships and iteration assignments.
Deploys a Model Context Protocol (MCP) server on Azure with industry-specific templates, sample data, and pre-configured tools for AI agents to query and manage resources.
Dynamically discovers and exposes Azure API Management APIs as MCP tools, enabling Copilot Studio to call them via natural language without hardcoding.