AI Agent for Azure DevOps
Seamlessly connect AI assistants with Azure DevOps using the MCP Azure DevOps Server integration. Empower your team to manage work items, projects, and teams through natural language commands while leveraging the robust capabilities of Azure DevOps REST API. Streamline project management, automate routine tasks, and accelerate development cycles with intelligent, conversational workflows.
Effortless Work Item Management
Automate and enhance your Azure DevOps workflows with natural language commands. Query, create, update, and manage work items directly through your AI assistant, reducing manual entry and speeding up project tracking. Enable your team to find and update bugs, tasks, and user stories with ease.
- Query Work Items.
- Search and filter work items using WIQL queries for instant insights.
- Create & Update Tasks.
- Easily add or modify tasks, bugs, and stories using conversational prompts.
- Comment Management.
- Post and retrieve comments on work items for improved team collaboration.
- Parent-Child Relationships.
- Establish and manage work item hierarchies for better project organization.
Powerful Project & Team Insights
Gain instant access to project structures, team memberships, areas, and iterations. Use your AI assistant to retrieve and display all accessible projects, team details, and sprint configurations, giving your team a clear overview of your DevOps organization.
- Project Retrieval.
- List all available projects within your Azure DevOps organization.
- Team Overview.
- Display teams, their members, and assigned area paths effortlessly.
- Iteration Tracking.
- Access and manage team sprint and iteration configurations with ease.
Scalable & Secure Integration
Built with the MCP Python SDK, this integration ensures secure, scalable access to Azure DevOps via personal access tokens. Easily configure and deploy the server, and extend capabilities as your needs grow—pipeline operations, pull requests, and more are planned for future releases.
- Secure API Access.
- Authenticate with personal access tokens for robust security.
- Simple Configuration.
- Easy setup with environment variables for fast deployment.
- Future-Proof.
- Pipeline, pull request, and sprint management features coming soon.
MCP INTEGRATION
Available Azure DevOps MCP Integration Tools
The following tools are available as part of the Azure DevOps MCP integration:
- query_work_items
Search for Azure DevOps work items using WIQL queries to filter and locate tasks, bugs, and other items.
- get_work_item_details
Retrieve complete information about a specific work item by its ID, including all fields and history.
- create_work_item
Add new work items such as tasks, bugs, or user stories by specifying project, type, and field values.
- update_work_item
Modify fields and properties of existing work items, including status changes and field updates.
- add_comment
Post comments on work items to provide updates, explanations, or additional information.
- view_comments
Retrieve the comment history for a specific work item, allowing review of all discussion threads.
- set_parent_child_relationship
Establish or modify parent-child relationships between work items to manage hierarchical structures.
- get_projects
List all accessible projects within the Azure DevOps organization for discovery and selection.
- get_teams
List all teams within the organization to facilitate collaboration and team-based operations.
- get_team_members
View membership information for a specific team, including user details and roles.
- get_team_area_paths
Retrieve the area paths assigned to teams for work item categorization and access control.
- get_team_iterations
Access the iteration and sprint configurations for teams, supporting planning and progress tracking.
Supercharge Azure DevOps with AI Assistants
Easily connect your AI assistants to Azure DevOps for seamless project and work item management. Experience the future of DevOps collaboration today.
What is MCP Azure DevOps Server by Vortiago
MCP Azure DevOps Server, developed by Vortiago, is a specialized Model Context Protocol (MCP) server designed to bridge AI assistants and Azure DevOps services through a Python SDK. It enables seamless natural language interactions with Azure DevOps REST API, allowing users to automate and manage DevOps workflows such as work item tracking, pipeline management, pull request operations, sprint planning, and branch policy administration. The server is open-source, supports easy integration, and is tailored for developers and teams aiming to enhance their project management and CI/CD automation with AI-driven capabilities.
Capabilities
What we can do with MCP Azure DevOps Server
MCP Azure DevOps Server unlocks a powerful set of features for integrating Azure DevOps with AI assistants. With this service, users can automate the creation and management of work items, interact with pipelines, handle pull requests, and manage sprints and branch policies, all using natural language or programmatic inputs. This greatly improves productivity, accelerates DevOps processes, and reduces manual effort.
- Work Item Management
- Create, update, and query Azure DevOps work items with AI-driven commands.
- Pipeline Operations
- Query the status of pipelines or trigger new pipeline runs from conversational AI interfaces.
- Pull Request Handling
- Use AI assistants to create, update, and review pull requests, streamlining code review workflows.
- Sprint Management
- Plan and manage sprints and iterations naturally through integrated AI prompts.
- Branch Policy Administration
- Configure and manage branch policies programmatically, ensuring compliance and automation.
How AI Agents Benefit from MCP Azure DevOps Server
AI agents using MCP Azure DevOps Server can automate repetitive DevOps tasks, provide real-time project insights, and enable conversational management of Azure DevOps resources. This results in faster response times, fewer errors, and increased team productivity by allowing natural language interactions and intelligent automation across the entire DevOps lifecycle.