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

Provides AI assistants with persistent graph database memory using Neo4j, enabling task management, relationship understanding, semantic search with embeddings, file indexing, and multi-agent coordination through the Model Context Protocol.

Enables autonomous coding agents to inspect Git commits, create pull requests, parse issue threads, and post reviews on GitHub repositories.

Anchor AI FinOps to real, live cloud pricing. AWS, GCP & Azure — public list prices and enterprise negotiated rates. No credentials needed for AWS and Azure public pricing.

The most comprehensive Azure DevOps MCP server & CLI — 13 tools, 82 actions, single Go binary.

An MCP bridge that lets Codex and Claude Code interact with OpenLinker agents, and allows the host to serve as a callable agent in the OpenLinker network.

Enables interaction with Bitbucket through the Model Context Protocol, allowing users to manage pull requests, add comments, review code, create tasks, and perform other repository operations using natural language.

Enables Claude to interact with WhatsApp: read chats, search messages, send messages with a mandatory confirmation step, and transcribe voice notes locally, all with encrypted storage and prompt-injection scrubbing.

Debug your Container and Kubernetes workloads with an AI interface powered by eBPF

🤖 AI-powered Kubernetes management with 37+ tools via natural language. Transform complex Kubectl commands into simple conversations. Perfect for DevOps teams using Cursor AI. Built with Go.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

A Model Context Protocol server that enables AI agents to interact directly with Prometheus metrics data through natural language queries.

Enables running ephemeral Kubernetes Jobs/pods with caller-chosen images and commands, returning results and artifacts while automating cleanup. Supports synchronous and background execution, repository cloning, and strict security controls.

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

Enables AI agents to interact with Kalshi event contracts and perpetual markets via a safety-focused MCP interface, with paper trading by default, strict schemas, and fail-closed behavior.

Gitee API integration, repository, issue, and pull request management, and more.

Interact with OneDev for CI/CD spec editing, pull request review, and issue workflow automation etc.

Provides 23 bounded MCP tools for AI agents to perform technical SEO audits, including crawl setup, page analysis, issue detection, and report exports, all while keeping data local.

Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

Enables an MCP client such as Claude Code to inspect and change a stock OpenWrt 25.12+ router over SSH, covering system status, logs, clients, firewall, packages, services, and WireGuard peers. Configuration edits are staged, checked, and armed with an automatic rollback that survives a reboot, all behind deny-by-default per-client grants, an audit log, and masked secrets.

An MCP server for Android's Tasker automation app