Azure MCP server
by microsoftLets your AI look things up and work with your Azure cloud services for you.
AI Library · 4,066 MCP servers
Lets your AI look things up and work with your Azure cloud services for you.
Ask GitHub Copilot CLI to read, review and bulk-process your code straight from your AI chat window.
Lets your AI run Snyk security scans on your code and show you the findings in plain chat.
Give your AI coding assistant a long-term memory so it remembers your project across sessions.
Lets your AI look at and control Safari on a real iPhone or iPad connected to your computer.
Turn any web API that has an OpenAPI description into something your AI can use.
Lets your AI find and suggest the right add-ons for your project, then pull data from Google Analytics, Vercel, GitHub and Sentry.
Lets your AI look up and manage repos, issues, and pull requests on your company's GitHub.
Lets your AI assistant work inside the Unity Editor: create objects, write scripts, run tests, and debug your game.
Turn a project folder or GitHub repo into a Mermaid diagram and a PNG image.
Your AI can start, control and inspect iPhone and iPad simulators on your Mac for you.
Connect your AI to Jira, Confluence, GitLab, Gmail, Calendar, YouTube and web search in one helper.
Charge people for using your MCP server, with Stripe subscriptions, per-call credits, or crypto payments.
Search GitHub, npm, arXiv, Reddit, Hacker News and more from one place, all at once.
Talk to your coding agent out loud and hear its replies spoken back while it works.
Your AI can build n8n workflows, check them for mistakes, and explain why a run failed.
Let your AI use stored API keys and passwords inside commands without ever seeing the actual secret.
Connect your AI to Cloudflare so it can read your settings, check logs, and help with your websites and apps.
Let your AI open a Google Colab notebook, add and run code cells, and pick a GPU for you.
Lets your AI check code for security problems using Semgrep before you ship it.
Lets your AI remember facts, decisions and warnings about your codebase, shared with teammates through git.
Let your AI run browser, file and data jobs step by step, with a record of what happened and the ability to retry from the step that failed.
Let your AI look at and change the settings in your APISIX gateway using plain English.
Ask your AI about your PostHog data and let it manage flags, experiments and errors for you.