"How to interact with an Azure DevOps repository" matching MCP servers:

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

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.

An MCP server that exposes 41 Azure DevOps tools to AI assistants, enabling management of pipelines, repositories, pull requests, releases, work items, test management, and wikis through natural language.

An open-source server that enables AI agents to interact with Azure DevOps projects through the Model Context Protocol, providing tools for managing work items, wikis, and repositories to streamline development workflows.

An MCP server that enables AI assistants to interact with Azure DevOps projects, work items, repositories, pipelines, wikis, and more via 21 tools.

A Model Context Protocol server that integrates with Azure DevOps, enabling users to query work items, access backlogs, and perform various Azure DevOps operations through a standardized interface.

MCP server that provides tools to interact with Azure DevOps, including querying work items, repositories, pull requests, builds, commits, and creating work items via a standardized interface.

Enables natural language management of Azure DevOps work items, sprints, and boards through MCP. Supports multi-project, enterprise authentication, and Docker deployment.

MCP server that provides a citation-first memory layer for AI agents, enabling verified search across Git-backed repositories and optional conversation memory. It exposes tools for doctor, sync, search, get, init, and ingest, returning JSON results with verified citations or abstain status.

Enables AI agents to search, read, and traverse a local knowledge base of Markdown files using full-text search and relationship graph, reducing token usage.

A production-grade MCP server for managing git projects, offering dynamic tool selection and enterprise-grade security.

Integrates GitHub Copilot Agent with Azure DevOps to fetch, analyze, and report bug data, allowing you to query bugs, generate dashboards, and export reports via natural language.

Provides structured DevOps practices and templates (tracking, documentation, runbooks) to streamline AI-assisted PoC development, reducing CLAUDE.md bloat and ensuring consistency across projects.

Enables users to securely connect Claude Desktop to Azure DevOps for managing work items, metadata, comments, pull requests, and code reviews.

Enables AI assistants to interact with Azure DevOps for managing work items, repositories, wikis, and automating development workflows.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

A quickstart template to build and deploy a remote MCP server on Azure Functions using Python, secured with keys and HTTPS.

Enables natural-language analysis of GitHub repositories by exposing repository metadata, source code retrieval, search, and file reading as MCP tools, with answers grounded in the actual repository content.

Enables AI assistants to interact with Azure DevOps repositories and pull requests, including listing PRs, fetching diffs, adding comments, and performing automated code reviews.

Enables LLMs to query Azure service pricing via the public Azure Retail Prices API, with tools for searching prices, estimating costs, comparing regions, and listing services.