发现为 Azure DevOps 构建的 17 个 MCP。
Integrates Azure DevOps capabilities directly into development environments by providing a local server that enables interaction with various services.
Provides Python APIs for interacting with and managing Azure DevOps services.
Facilitates interaction with Azure DevOps services through AI assistants by providing entity-based tools.
Enables AI agents to automate and manage Azure DevOps operations, including boards, repositories, pipelines, artifacts, test plans, and wikis.
Integrates Azure DevOps with Cursor IDE, providing access to projects, work items, repositories, and pull requests.
Enables management of Azure DevOps projects and repository operations through an API.
Integrates with Azure DevOps to manage work items, wiki documentation, sprint planning, and handle attachments and discussions.
Aids in optimizing requirement engineering workflows by leveraging AI-driven insights and innovative coding methodologies.
Manages Azure DevOps authentication and context dynamically, allowing seamless integration with multiple projects and organizations from a single server instance.
Enables connecting to Azure DevOps data from Claude Desktop using CData JDBC Drivers.
Integrates with Azure DevOps to manage backlogs, work items, and execute queries via a standardized Model Context Protocol (MCP) interface.
Empowers AI assistants to manage and retrieve information from Azure DevOps services using natural language.
Facilitates interaction with the Azure DevOps API, enabling project management and repository operations.
Provides a standardized interface for interacting with Azure DevOps Boards work items, enabling automation and integrations.
Manages Azure DevOps work items through the Model Context Protocol (MCP) server.
Provides a Model Context Protocol (MCP) server for Azure DevOps, enabling interaction with services via Personal Access Token (PAT) authentication.
Standardizes interactions between AI agents and backend systems through microservices.
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