Azure DevOps MCP Server
About
This MCP (Model Context Protocol) server provides tools for interacting with Azure DevOps services through AI assistants. It uses an entity-based architecture that groups operations by resource type (projects, repositories, work items, pull requests, pipelines) rather than…
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- aaronsb
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- Entity-based organization: projects, repositories, work items, pull requests, pipelines.
- Cursor-based pagination with continuation tokens for list operations.
- Comprehensive error handling with categorized errors and troubleshooting tips.
- Consistent interface across all entity tools for operations and parameters.
- Configuration via environment variables or a JSON configuration file.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Azure DevOps MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install the package, configure it via environment variables or a config/azuredevops.json file, then run the server (node build/index.js or via Docker). Required environment variables are ADO_ORGANIZATION and ADO_PAT. The server exposes entity tools that accept an operation field (e.g., list, get, create) along with parameters specific to that operation.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"azure devops mcp server": {
"ado-mcp": {
"command": "node",
"args": [
"build/index.js"
]
}
}
}
}
McpServers
{
"ado-mcp": {
"command": "node",
"args": [
"build/index.js"
]
}
}
Azure DevOps MCP Server
<p align="center">

</p>
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:
1. Intuitive organization: Tools are organized by the entities they operate on (projects, repositories, work items, etc.)
2. Reduced tool count: Instead of dozens of individual tools, we have a handful of entity tools with multiple operations
3. Consistent interface: All entity tools follow the same pattern for operations and parameters
4. Better error handling: Each entity tool can handle errors specific to its domain
5. 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 support
- get: Get detailed information about a specific project
Repositories Tool
Manages Git repositories.
Operations:
- list: List all Git repositories in a project with pagination support
- get: Get detailed information about a specific Git repository
- listBranches: 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 item
- create: 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 support
- get: Get detailed information about a specific pull request
Pipelines Tool
Manages CI/CD pipelines.
Operations:
- list: List all pipelines in a project with pagination support
- get: 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": "user@example.com"
}
}
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
```bash
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 <aaronsb@gmail.com>
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