Curated
Fewer servers, picked on purpose.
We don't list everything. We list what we'd hand a friend who's setting up an agent today.
Honest
Short take per server.
What it's good for, what it isn't, and whether you want the official one or a community fork.
Fast
One copy, full stack installed.
Each stack ships a single combined install command. Paste once, get to work.
Featured stacks
Three stacks, three jobs.
The Coding Agent Stack
What an AI coding agent needs to ship a feature: source control, current docs, a real browser to test in, and visibility when something breaks in production.
The Web Researcher Stack
Three servers an agent needs to actually read the web: a search engine, a scraper that handles JS, and a converter that turns whatever it pulls back into clean Markdown.
The Data Stack
An agent that can speak to your data. One Postgres server, one document store, one vector DB. Enough surface to prototype most data workflows without dragging in five admin tools.
Most popular
Start with what others use.
Markitdown
microsoft
Markitdown converts PDFs, Word docs, Excel sheets, PowerPoint files, images, audio, HTML, and more into Markdown. Useful for getting messy file content into an LLM context window.
Netdata
netdata
Netdata connects an agent to real-time infrastructure monitoring data: query metrics, investigate active alerts, run root cause analysis using anomaly detection, explore logs, and execute functions against any connected node.
Context7
upstash
Context7 fetches up-to-date documentation and code examples from official sources for over 4,000 libraries, so generated code matches the version actually installed.
Chrome DevTools MCP
ChromeDevTools
Chrome DevTools MCP gives AI coding agents direct access to a live Chrome browser: inspect the DOM, capture console logs, run JavaScript, monitor network requests, and debug runtime errors without leaving the agent workflow.
Playwright
microsoft
Playwright MCP gives an agent full browser automation via structured accessibility snapshots, so it can navigate pages, click, fill forms, and extract data without needing vision models.
GitHub
github
GitHub MCP Server connects an agent to GitHub: read repos and code, manage issues and PRs, query workflow runs, review Dependabot and security findings, and interact with discussions and notifications.
Serena
oraios
Serena gives coding agents semantic code retrieval and editing capabilities, letting them navigate and modify codebases at the symbol level rather than raw text.
Unity
CoplayDev
Unity MCP connects an AI agent to the Unity Editor, letting it read and modify scenes, manage assets, run scripts, and automate editor workflows through a local bridge server.
Firecrawl
firecrawl
Firecrawl searches the web, scrapes URLs into clean structured data, crawls multi-page sites, and can run autonomous deep-research sessions with a browser agent.