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

Enables read-only interaction with Azure DevOps Classic Releases, including listing organizations, projects, release definitions, environments, and retrieving release variables through MCP tools.

Focused local MCP server for Azure DevOps Services, Azure Repos, and Azure Boards. It provides ticket-reading and pull-request-review workflows through 31 MCP tools backed by Azure DevOps REST API 7.1.

This MCP server enables agents to list, view diffs, create, and submit Azure DevOps pull requests using VS Code's Microsoft authentication.

Enables AI assistants to interact with an on-premise Azure DevOps Server 2022, allowing users to list, view, create, and update work items through natural language.

A local MCP server that connects Claude Desktop, Claude Code, and Claude Chat to your Azure DevOps organization, enabling querying work items, reviewing pull requests, triggering pipelines, searching code, managing test plans, and updating wikis using plain language.

Connects MCP-compatible AI coding agents to self-hosted instances so they can discover projects, repositories, and branches, then create or update pull requests from a local Git context and return the PR number and browser URL. An explicit repository allowlist restricts all repository and pull request reads and writes.

A local MCP server that bridges Claude Desktop/Cowork to the Azure DevOps CLI, enabling full use of az devops, az repos, az boards, az pipelines, and az artifacts commands.

Brings on-premises Azure DevOps Server (including TFVC) to AI assistants with 49 tools for work items, repositories, pipelines, test plans, and wiki, along with profile-based secrets and write safety layers.

MCP server that enables AI assistants to manage Azure DevOps resources including Work Items, Git repositories, pipelines, and user identities.

Enables AI assistants to manage work item attachments on Azure DevOps Server (on-premise) via the REST API, supporting listing, uploading, deleting, and downloading attachments.

Integrates Cline with Azure DevOps services, enabling access to work items, repositories, and pull requests through configurable MCP tools.

An MCP server that enables reviewing Azure DevOps Pull Request comments using the Azure CLI, with features like comment retrieval and status filtering.

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.

This read-only MCP Server allows you to connect to Azure DevOps data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables interaction with Azure DevOps through natural language in Cursor IDE. Supports work item management, pull requests, builds, releases, test management, and guided workflows for development teams, QA testers, and release management.

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.

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

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

A dynamic Azure DevOps MCP server that automatically switches authentication context based on the current working directory, enabling seamless integration with multiple Azure DevOps organizations and projects.