What is mmruesch12 azdo mcp
Azure DevOps MCP Server
An MCP (Model Context Protocol) server that provides integration with Azure DevOps, allowing AI assistants to interact with Azure DevOps work items, pull requests, and wikis.
Features
- Work Items Management (create, list, get)
- Pull Request Operations (create, list, get, comment, diff)
- Wiki Page Management (create, edit)
Setup
- Install dependencies:
npm install
- Configure environment variables (create a .env file):
AZURE_DEVOPS_ORG_URL=https://dev.azure.com/your-org
AZURE_DEVOPS_PAT=your-personal-access-token
AZURE_DEVOPS_PROJECT=default-project
AZURE_DEVOPS_REPOSITORY=default-repo
- Build the server:
npm run build
Installation
Add the server configuration to your MCP settings:
For VSCode
On macOS/Linux
Add to ~/.vscode/cline_mcp_settings.json
or the Cursor/Roo equivalent:
{
"mcpServers": {
"azure-devops": {
"command": "node",
"args": ["/path/to/azure-devops-mcp/build/index.js"],
"env": {
"AZURE_DEVOPS_ORG_URL": "your-org-url",
"AZURE_DEVOPS_PAT": "your-pat",
"AZURE_DEVOPS_PROJECT": "your-project",
"AZURE_DEVOPS_REPOSITORY": "your-repo"
},
"disabled": false,
"autoApprove": []
}
}
}
On Windows
Add to %USERPROFILE%\.vscode\cline_mcp_settings.json
or the Cursor/Roo equivalent:
{
"mcpServers": {
"azure-devops": {
"command": "node",
"args": ["C:/path/to/azure-devops-mcp/build/index.js"],
"env": {
"AZURE_DEVOPS_ORG_URL": "your-org-url",
"AZURE_DEVOPS_PAT": "your-pat",
"AZURE_DEVOPS_PROJECT": "your-project",
"AZURE_DEVOPS_REPOSITORY": "your-repo"
},
"disabled": false,
"autoApprove": []
}
}
}
Available Tools
Work Items
list_work_items
Lists work items in a project.
{
"project": string, // Required
"types"?: string[], // Optional: Filter by work item types
"states"?: string[], // Optional: Filter by states
"assignedTo"?: string // Optional: Filter by assigned user
}
get_work_item
Get details of a specific work item.
{
"project": string, // Required
"id": number // Required: Work item ID
}
create_work_item
Create a new work item.
{
"project": string, // Required
"type": string, // Required: e.g., "Task", "Bug"
"title": string, // Required
"description"?: string, // Optional
"assignedTo"?: string // Optional
}
Pull Requests
list_pull_requests
List pull requests in a repository.
{
"status"?: "active" | "completed" | "abandoned" // Optional
}
get_pull_request
Get details of a specific pull request.
{
"pullRequestId": number // Required
}
create_pull_request
Create a new pull request.
{
"title": string, // Required
"description": string, // Required
"sourceBranch": string, // Required
"targetBranch": string, // Required
"reviewers"?: string[] // Optional: Array of reviewer email addresses
}
create_pull_request_comment
Add a comment to a pull request.
{
"pullRequestId": number, // Required
"content": string, // Required
"threadId"?: number, // Optional: For replies
"filePath"?: string, // Optional: For file comments
"lineNumber"?: number, // Optional: For line comments
"status"?: "active"|"fixed"|"pending"|"wontfix"|"closed" // Optional: Thread status
}
get_pull_request_diff
Get the diff for a pull request.
{
"pullRequestId": number, // Required
"filePath"?: string, // Optional: Specific file to get diff for
"iterationId"?: number // Optional: Specific iteration to get diff for
}
Wiki
create_wiki_page
Create a new wiki page.
{
"project": string, // Required
"wiki": string, // Required
"path": string, // Required
"content": string // Required
}
edit_wiki_page
Edit an existing wiki page.
{
"project": string, // Required
"wiki": string, // Required
"path": string, // Required
"content": string, // Required
"etag": string // Required: For concurrency control
}
Development
Run in development mode with environment variables:
npm run dev
Note
Unless explicitly specified in the tool arguments, the project
and repository
parameters will use default values from your environment configuration.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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