Azure DevOps MCP Server
Description
# Azure DevOps MCP Server This is a Model Context Protocol (MCP) server for Azure DevOps that provides work item management capabilities. ## Prerequisites - Docker - Azure DevOps Personal Access Token (PAT) with appropriate permissions - Azure DevOps Organization and Project…
About
# Azure DevOps MCP Server This is a Model Context Protocol (MCP) server for Azure DevOps that provides work item management capabilities. ## Prerequisites - Docker - Azure DevOps Personal Access Token (PAT) with appropriate permissions - Azure DevOps Organization and Project details ## Quick Start 1. Build the Docker…
Details
- Author
- aymenfurter
- Downloads
- 261
- Categories
- Cloud Service
Jump to
- Search existing work items
- Create new work items
- Update existing work items
- Retrieve work item states
- Simple command-line interface for testing
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
Build the Docker image with docker build -t ado-mcp-server . then run the container with three environment variables: ADO_PERSONAL_ACCESS_TOKEN, ADO_ORGANIZATION_URL, and ADO_PROJECT_NAME. For VS Code integration, add the provided JSON configuration to your editor settings.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"azure devops mcp server": {
"ado-mcp-server-python": {
"command": "docker",
"args": [
"build",
"-t",
"ado-mcp-server",
"."
]
}
}
}
}McpServers
{
"ado-mcp-server-python": {
"command": "docker",
"args": [
"build",
"-t",
"ado-mcp-server",
"."
]
}
}Azure DevOps MCP Server
This is a Model Context Protocol (MCP) server for Azure DevOps that provides work item management capabilities.
Prerequisites
- Docker
- Azure DevOps Personal Access Token (PAT) with appropriate permissions
- Azure DevOps Organization and Project details
Quick Start
1. Build the Docker image:
docker build -t ado-mcp-server .
2. Run the server with environment variables:
docker run -i --rm \
-e ADO_PERSONAL_ACCESS_TOKEN="your_pat_here" \
-e ADO_ORGANIZATION_URL="https://dev.azure.com/your_org" \
-e ADO_PROJECT_NAME="your_project" \
ado-mcp-server
Configuration
The server requires the following environment variables:
- ADO_PERSONAL_ACCESS_TOKEN: Your Azure DevOps Personal Access Token
- ADO_ORGANIZATION_URL: Your Azure DevOps organization URL
- ADO_PROJECT_NAME: Your Azure DevOps project name
VS Code Integration
Add this configuration to your VS Code settings to integrate with the MCP server:
{
"inputs": [
{
"type": "promptString",
"id": "ado_pat",
"description": "Azure DevOps Personal Access Token",
"password": true
},
{
"type": "promptString",
"id": "ado_org",
"description": "Azure DevOps Organization URL"
},
{
"type": "promptString",
"id": "ado_project",
"description": "Azure DevOps Project Name"
}
],
"servers": {
"azuredevops": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"ADO_PERSONAL_ACCESS_TOKEN",
"-e",
"ADO_ORGANIZATION_URL",
"-e",
"ADO_PROJECT_NAME",
"ado-mcp-server"
],
"env": {
"ADO_PERSONAL_ACCESS_TOKEN": "${input:ado_pat}",
"ADO_ORGANIZATION_URL": "${input:ado_org}",
"ADO_PROJECT_NAME": "${input:ado_project}"
}
}
}
}
Features
- Search work items
- Create new work items
- Update existing work items
- Get work item states
- Simple command-line interface for testing
Development
To build and run locally for development:
1. Clone the repository
2. Build the Docker image: docker build -t ado-mcp-server .
3. Run the server with your environment variables
Testing
Run the tests using:
docker run -i --rm \
-e ADO_PERSONAL_ACCESS_TOKEN="your_pat_here" \
-e ADO_ORGANIZATION_URL="https://dev.azure.com/your_org" \
-e ADO_PROJECT_NAME="your_project" \
ado-mcp-server python -m pytest
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