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qualityIntegrates Cline with Azure DevOps services, enabling access to work items, repositories, and pull requests through configurable MCP tools.
Last updated -
15
31
TypeScript
MIT License
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Why this server?
Integrates Cline with Azure DevOps services, enabling access to work items, repositories, and pull requests through configurable MCP tools.
Why this server?
A reference server implementation that enables AI assistants to interact with Azure DevOps resources and perform operations such as project management, work item tracking, repository operations, and code search programmatically.
Why this server?
An MCP server that enables seamless integration with Azure DevOps Git repositories, enabling users to manage repositories, branches, pull requests, and pipelines through natural language.
Why this server?
A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.
Why this server?
An MCP (Model Context Protocol) server for dnstwist, a powerful DNS fuzzing tool that helps detect typosquatting, phishing, and corporate espionage. Since this is related to networking on Azure, it may be helpful.
Why this server?
Enables AI assistants to interact with WordPress sites through the REST API. Supports multiple WordPress sites with secure authentication, enabling content management, post operations, and site configuration through natural language.
Why this server?
A TypeScript-based MCP server that enables users to query and manage data in Azure Storage Tables. Useful if the user wants to manage Azure Table Storage.
Why this server?
A Model Context Protocol server that enables AI assistants to perform GitHub operations including repository management, file operations, issue tracking, and pull request creation, which might be relevant for Azure DevOps users who also use GitHub.
Why this server?
Enables AI models to perform full-text and semantic search operations over structured/unstructured data in Azure Cognitive Search, with capabilities for document indexing and management through natural language, enhancing Azure DevOps documentation and knowledge.
Why this server?
Enables AI assistants to interact with and manage Google Cloud Platform resources including Compute Engine, Cloud Run, Storage, BigQuery, and other GCP services through a standardized MCP interface, providing a comparison point to Azure.