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Ado Mcp
What is Ado Mcp
ado-mcp is an Azure DevOps MCP Server that provides tools for interacting with Azure DevOps services through AI assistants. It utilizes an entity-based architecture to streamline operations related to various Azure DevOps resources.
Use cases
ado-mcp can be used in scenarios such as automating project management tasks, integrating Azure DevOps with AI-driven applications, managing repositories and work items, and providing user-friendly interfaces for developers to interact with Azure DevOps services.
How to use
To use ado-mcp, users can send MCP requests through an AI assistant, which communicates with the MCP Server. The server processes these requests and returns responses based on the operations defined for each entity tool.
Key features
Key features of ado-mcp include intuitive organization of tools by entity type, reduced tool count with multiple operations per tool, a consistent interface across all tools, enhanced error handling with categorized errors, and support for cursor-based pagination.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Ado Mcp
ado-mcp is an Azure DevOps MCP Server that provides tools for interacting with Azure DevOps services through AI assistants. It utilizes an entity-based architecture to streamline operations related to various Azure DevOps resources.
Use cases
ado-mcp can be used in scenarios such as automating project management tasks, integrating Azure DevOps with AI-driven applications, managing repositories and work items, and providing user-friendly interfaces for developers to interact with Azure DevOps services.
How to use
To use ado-mcp, users can send MCP requests through an AI assistant, which communicates with the MCP Server. The server processes these requests and returns responses based on the operations defined for each entity tool.
Key features
Key features of ado-mcp include intuitive organization of tools by entity type, reduced tool count with multiple operations per tool, a consistent interface across all tools, enhanced error handling with categorized errors, and support for cursor-based pagination.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Azure DevOps MCP Server
This MCP (Model Context Protocol) server provides tools for interacting with Azure DevOps services through AI assistants.
Architecture
The server follows an entity-based architecture that groups operations by resource type rather than exposing many atomic tools. This approach provides several benefits:
- Intuitive organization: Tools are organized by the entities they operate on (projects, repositories, work items, etc.)
- Reduced tool count: Instead of dozens of individual tools, we have a handful of entity tools with multiple operations
- Consistent interface: All entity tools follow the same pattern for operations and parameters
- Better error handling: Each entity tool can handle errors specific to its domain
- Easier discovery: Users can easily discover available operations for each entity
Architecture Diagram
flowchart TB Client[AI Assistant] -->|MCP Request| Server[MCP Server] Server -->|MCP Response| Client subgraph "Azure DevOps MCP Server" Server --> RequestHandler[Request Handler] RequestHandler --> ToolRegistry[Tool Registry] ToolRegistry --> EntityTools[Entity Tools] EntityTools --> ApiClient[API Client] ApiClient --> ErrorUtils[Error Utilities] ApiClient --> PaginationUtils[Pagination Utilities] ApiClient -->|HTTP Request| AzureDevOps[Azure DevOps API] AzureDevOps -->|HTTP Response| ApiClient ConfigManager[Configuration Manager] --> ApiClient end classDef primary fill:#4285F4,stroke:#0D47A1,color:white classDef secondary fill:#34A853,stroke:#0D652D,color:white classDef utility fill:#FBBC05,stroke:#866A00,color:white classDef external fill:#EA4335,stroke:#980905,color:white class Server,RequestHandler primary class ToolRegistry,EntityTools,ApiClient secondary class ErrorUtils,PaginationUtils,ConfigManager utility class Client,AzureDevOps external
Component Structure
classDiagram class EntityTool { +name: string +description: string +operations: Record~string, Function~ +schemas: Record~string, ZodSchema~ +getDefinition(): ToolDefinition +execute(args: unknown): Promise~any~ #registerOperation(operation, handler, schema, description) } class ADOApiClient { +config: ADOApiConfig +connection: WebApi +getCoreApi() +getWorkItemTrackingApi() +getGitApi() +getPipelineApi() +handleError(error, context) } class ToolRegistry { +registerTool(tool: Tool) +getTool(name: string): Tool +getToolDefinitions(): ToolDefinition[] } class ErrorUtils { +createError(code, message, context) +handleApiError(error, source, operation) } class PaginationUtils { +normalizePaginationParams(params) +createPaginationResult(items, totalCount, continuationToken) +encodeContinuationToken(data) +decodeContinuationToken(token) } EntityTool --> ADOApiClient : uses EntityTool --> ErrorUtils : uses EntityTool --> PaginationUtils : uses ToolRegistry --> EntityTool : registers
Key Components
- Entity Tools: Each tool represents a major Azure DevOps entity (projects, repositories, work items, etc.) and provides multiple operations (list, get, create, etc.)
- Tool Registry: Manages the registration and execution of entity tools
- API Client: Handles communication with the Azure DevOps REST API
- Error Utilities: Provides standardized error handling with detailed context and user-friendly messages
- Pagination Utilities: Implements cursor-based pagination for list operations
- Configuration Manager: Loads and validates configuration from environment variables or config file
Recent Improvements
1. Enhanced Error Handling
The server now includes a comprehensive error handling system that provides:
- Categorized errors: Errors are categorized by type (authentication, authorization, validation, etc.)
- Contextual information: Errors include the source, operation, and other relevant context
- User-friendly messages: Error messages are designed to be helpful and actionable
- Troubleshooting tips: Where applicable, errors include suggestions for resolving the issue
flowchart LR Error[API Error] --> Handler[Error Handler] Handler --> Category{Categorize} Category -->|Authentication| AuthError[Authentication Error] Category -->|Authorization| AuthzError[Authorization Error] Category -->|Not Found| NotFoundError[Not Found Error] Category -->|Validation| ValidationError[Validation Error] Category -->|Rate Limit| RateLimitError[Rate Limit Error] Category -->|Service| ServiceError[Service Error] Category -->|Unknown| UnknownError[Unknown Error] AuthError & AuthzError & NotFoundError & ValidationError & RateLimitError & ServiceError & UnknownError --> Format[Format User Message] Format --> McpError[MCP Error Response] classDef error fill:#EA4335,stroke:#980905,color:white classDef process fill:#4285F4,stroke:#0D47A1,color:white classDef result fill:#34A853,stroke:#0D652D,color:white class Error,AuthError,AuthzError,NotFoundError,ValidationError,RateLimitError,ServiceError,UnknownError error class Handler,Category,Format process class McpError result
2. Cursor-based Pagination
All list operations now support cursor-based pagination with:
- Continuation tokens: Encoded tokens for resuming pagination
- Customizable page size: Control the number of results per page
- Consistent interface: Same pagination parameters across all list operations
- Efficient resource usage: Only fetch the data you need
sequenceDiagram participant Client as AI Assistant participant Server as MCP Server participant API as Azure DevOps API Client->>Server: List request (maxResults=10) Server->>API: API request (top=10, skip=0) API->>Server: Response with items Note over Server: Create continuation token Server->>Client: Response with items and token Client->>Server: List request with token Note over Server: Decode token to get position Server->>API: API request (top=10, skip=10) API->>Server: Response with more items Server->>Client: Response with items and new token
3. Improved Documentation
Each tool and operation now includes:
- Detailed descriptions: Clear explanations of what each tool and operation does
- Parameter documentation: Comprehensive documentation for all parameters
- Usage examples: Real-world examples of how to use each operation
- Type information: Clear type definitions for all inputs and outputs
Available Entity Tools
Projects Tool
Manages Azure DevOps projects.
Operations:
list: List all projects in the organization with pagination supportget: Get detailed information about a specific project
Repositories Tool
Manages Git repositories.
Operations:
list: List all Git repositories in a project with pagination supportget: Get detailed information about a specific Git repositorylistBranches: List all branches in a Git repository with pagination support
Work Items Tool
Manages work items (bugs, tasks, user stories, etc.).
Operations:
get: Get detailed information about a specific work itemcreate: Create a new work item in a project
Pull Requests Tool
Manages pull requests in repositories.
Operations:
list: List pull requests in a repository with filtering and pagination supportget: Get detailed information about a specific pull request
Pipelines Tool
Manages CI/CD pipelines.
Operations:
list: List all pipelines in a project with pagination supportget: Get detailed information about a specific pipeline
Usage Examples
List Projects with Pagination
{
"operation": "list",
"listParams": {
"maxResults": 10,
"continuationToken": "optional-token-from-previous-request"
}
}
Get Project Details
{
"operation": "get",
"getParams": {
"projectId": "my-project",
"includeCapabilities": true
}
}
List Repositories in a Project
{
"operation": "list",
"listParams": {
"projectId": "my-project",
"maxResults": 20
}
}
List Branches in a Repository
{
"operation": "listBranches",
"listBranchesParams": {
"projectId": "my-project",
"repositoryId": "my-repo",
"maxResults": 15
}
}
Get Work Item Details
{
"operation": "get",
"getParams": {
"id": 123,
"expand": "Relations"
}
}
Create a Work Item
{
"operation": "create",
"createParams": {
"projectId": "my-project",
"type": "Task",
"title": "Implement new feature",
"description": "This task involves implementing the new feature XYZ",
"assignedTo": "[email protected]"
}
}
List Pull Requests with Filtering
{
"operation": "list",
"listParams": {
"projectId": "my-project",
"repositoryId": "my-repo",
"status": "Active",
"maxResults": 10
}
}
Configuration
The server can be configured using environment variables or a configuration file.
Environment Variables
ADO_ORGANIZATION: Azure DevOps organization name (required)ADO_PROJECT: Default project name (optional)ADO_PAT: Personal Access Token for authentication (required)ADO_API_URL: Base URL for the API (optional, defaults to https://dev.azure.com)ADO_API_VERSION: API version (optional, defaults to 7.0)ADO_API_MAX_RETRIES: Maximum number of retries for API calls (optional, defaults to 3)ADO_API_DELAY_MS: Delay between retries in milliseconds (optional, defaults to 1000)ADO_API_BACKOFF_FACTOR: Backoff factor for retries (optional, defaults to 2)
Configuration File
Alternatively, you can create a config/azuredevops.json file with the following structure:
{
"organization": "your-organization",
"project": "your-project",
"credentials": {
"pat": "your-personal-access-token"
},
"api": {
"baseUrl": "https://dev.azure.com",
"version": "7.0",
"retry": {
"maxRetries": 3,
"delayMs": 1000,
"backoffFactor": 2
}
}
}
Development
Building the Server
npm run build
Running the Server
node build/index.js
Docker
docker build -t azure-devops-mcp:local .
docker run -i --rm -e ADO_ORGANIZATION=your-org -e ADO_PAT=your-pat azure-devops-mcp:local
## License
MIT License © 2025 Aaron Bockelie <[email protected]>
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










