What is MCP? The 10 servers that give your AI assistant real superpowers — AlternativeTo
What is MCP? The 10 servers that give your AI assistant real superpowers
Model Context Protocol is the USB port of AI — one standard that lets Claude, Cursor and other assistants plug into your files, GitHub, browser and databases. These are the servers worth installing first.
AlternativeTo Editorial Community-checked
July 7, 2026 · 3 min read
Key takeaways
MCP (Model Context Protocol) is an open standard that lets AI assistants like Claude and Cursor safely use your real tools — files, repos, browsers, databases.
Two servers cover most real usage: Filesystem plus whichever tool you work in daily (GitHub or Google Drive).
MCP servers act with your permissions — install only from sources you trust and grant write access deliberately.
If you've used Claude or Cursor recently, you've probably seen the letters MCP. The Model Context Protocol is an open standard (created by Anthropic, since adopted across the industry) that solves AI's biggest practical problem: assistants that can *talk* about your work but can't *touch* it.
Think of MCP as a USB port for AI. An MCP server is a small connector that exposes one tool — your files, your repo, your browser — through a standard plug. Any MCP-capable assistant can use any server, no custom integration needed.
The gateway drug. Lets your assistant read, write and organize actual files and folders. Suddenly "summarize every PDF in this folder and rename them properly" is a one-line request.
2. GitHub
Read issues, open pull requests, review diffs, search code across repos. Paired with Continue or Cursor, it turns "fix issue #42" into a real workflow.
3. Browser automation (Playwright)
Gives the AI eyes and hands on the web — navigate, click, fill forms, scrape. The building block for "book it / check it / compare it" tasks.
4. Postgres / Supabase
Query your database in plain English, inspect schemas, even run migrations. Analysts stop writing boilerplate SQL; founders stop pinging developers for numbers.
5. Slack
Search channels, summarize threads, draft replies. "What did I miss this week in #engineering?" becomes answerable in seconds — see Slack and its alternatives if your team chats elsewhere.
6. Web search
Real-time information with citations. Essential for anything where training-data cutoffs matter: prices, news, versions, laws.
7. Memory
Persistent knowledge graphs across conversations. Your assistant finally remembers your projects, your stack, and the acronyms your team invents.
8. Google Drive
Search and read Docs, Sheets and Slides. The corporate knowledge unlock — meeting notes and specs become context instead of attachments.
9. Figma
Read designs, extract tokens, generate code from real components. The design-to-code gap gets dramatically smaller — relevant to anyone using Figma or Penpot.
10. Stripe
Look up payments, customers and subscriptions conversationally. Support teams answer "where's my refund?" without opening a dashboard.
How to start
Most assistants make this a settings toggle now: Claude's connector directory, Cursor's MCP panel, or a JSON config for the DIY route. Start with Filesystem + one work tool (GitHub if you code, Drive if you don't) — two servers cover 80% of real usage.
One caution: an MCP server acts with *your* permissions. Install servers from sources you trust, and give write access deliberately, not by default.
The apps mentioned here — Claude, Cursor, Continue, Figma — all have community-ranked alternatives in the directory if you're shopping around.
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AlternativeTo Editorial
Guides from the team behind this directory, fact-checked against the community-ranked catalog. Every app we mention has its own page with alternatives, votes, and reviews — follow the links and judge for yourself.
