Most Popular MCP Servers People Keep Using (2026)
Which MCP servers do people keep using week after week? The short answer: the few that sit on top of data you already open every day — your database, your notes, your hosting — and that come from the company that owns that data. Trying a pile of servers is easy. Keeping one switched on means it earns its place every week.
The servers that get dropped tend to share a pattern. They do something you could do faster by hand, they need a fragile local setup, or they add so many tools that the model starts picking the wrong one. The ones that stay answer questions you ask every week: "what changed in this table", "what did we decide in that doc", "why is this deploy failing".
Below are four official servers on our shelf that fit that pattern. Each one is free to read, and each links to its full source on the item page. We do not have usage numbers for any of them: install counts are not measured.
Quick comparison
| Server | What it does | How you connect | GitHub stars (whole repo, read 21 Sep 2026) |
|---|---|---|---|
| Supabase MCP Server | Query tables, run migrations, read logs, manage branches | Hosted URL, log in when your client asks | 2,917 |
| Notion MCP server | Search, read and edit pages and databases | Local server with an integration token | 4,642 |
| Cloudflare MCP Servers | Docs, Workers, logs, observability, page rendering | Hosted URLs, one per product area | 4,272 |
| Docker MCP gateway | Runs many servers behind one connection, each in its own container | Docker Desktop with MCP Toolkit on | 1,579 |
Stars are for the whole repo, not a vote for one server.
How we picked
We read the README of every MCP server on the shelf and kept the ones that are published by the company behind the service, connect to something you touch daily, and have a real screenshot from the author. The top three Google results for this search group servers by job, but none of them says which ones stay installed or what tends to break. That is the gap this list fills.
1. Supabase MCP Server — your database, in plain English
Supabase MCP Server connects your Supabase projects to Claude, Cursor and other AI clients. The AI can manage tables, fetch config and query data.
Why it sticks: you ask your database questions every day. Setup is a hosted URL (https://mcp.supabase.com/mcp), and your client prompts you to log in.
The catch: the README asks you to read Supabase's security notes first. The URL builder supports read_only=true and a single project_ref. Start there. The local CLI version gives a smaller set of tools and no OAuth.
2. Notion MCP server — your notes and plans
Notion MCP server lets your AI search, read and edit pages and databases. Version 2.0 has 22 tools, plus two that read and edit a page as Markdown.
Why it sticks: specs, meeting notes and content calendars already live there. Asking beats scrolling.
The catch: Notion now says this local repo is no longer actively maintained and points you to its hosted Remote Notion MCP instead. If you keep the local one, create an internal integration, share each page with it, and give it only "Read content" if you just want answers.
3. Cloudflare MCP Servers — your deploys and logs
Cloudflare MCP Servers is a set of hosted servers, one per product area: documentation, Workers bindings, Workers builds, observability, and Browser Run, which fetches a page as markdown or a screenshot.
Why it sticks: "why did this request fail" is a weekly question if you ship on Cloudflare. You paste one URL into any client that supports remote servers.
The catch: the README warns that the observability server can trigger many chained tool calls and fill Claude's context mid-reply. Keep questions narrow. Some features need a paid Workers plan.
4. Docker MCP gateway — keep the list short and safe
Docker MCP gateway runs servers from the Docker MCP Catalog, each in its own container, behind one connection. Secrets stay in Docker Desktop instead of env vars.
Why it sticks: it solves the reason people uninstall servers. You group servers into a profile, switch tools on or off one by one, and connect Claude Code with docker mcp client connect claude-code --profile dev-tools --global.
The catch: you need Docker Desktop 4.59 or later with the MCP Toolkit feature turned on.
How to keep only what you use
- Pick one server for where your data lives (Supabase or Notion).
- Add one for where your code runs (Cloudflare) if you deploy there.
- Put both behind the Docker gateway if you use more than three.
- After two weeks, remove anything the AI never called.
For more options by job, see the MCP servers shelf and our earlier list of MCP servers worth installing.
FAQ
What is the most popular MCP server? There is no public install count we trust, so we do not rank by it. Of these four, Notion's repo has the most GitHub stars.
How many MCP servers should I run? A handful. Each server adds tools the model must choose between.
Are these MCP servers free? The code is open source. Cloudflare says some features need a paid Workers plan.
Is it safe to give an AI my database? Start read-only and scoped to one project. Supabase's URL supports both.