What are the prerequisites to use this server?
Docker, an Azure DevOps Personal Access Token with appropriate permissions, and the organization URL and project name.
@aymenfurter
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"ado-mcp-server-python": {
"command": "docker",
"args": [
"build",
"-t",
"ado-mcp-server",
"."
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Azure DevOps MCP Server is a Model Context Protocol (MCP) server that provides work item management capabilities for Azure DevOps. It is intended for developers who want to integrate AI assistants with Azure DevOps using a Docker container and a Personal Access Token.
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.
Docker, an Azure DevOps Personal Access Token with appropriate permissions, and the organization URL and project name.
Add the provided JSON configuration block to your VS Code settings, using `docker` as the command and passing the required environment variables through prompts.
It supports searching, creating, updating work items, and getting work item states.
`ADO_PERSONAL_ACCESS_TOKEN`, `ADO_ORGANIZATION_URL`, and `ADO_PROJECT_NAME`.
Use `docker run` with the same environment variables and append `python -m pytest` as the command.
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