An MCP server is a small program that exposes a tool, a database, or an API to an AI agent over the Model Context Protocol, the open standard Anthropic published in late 2024. The most-used ones are GitHub, Filesystem, Playwright, Postgres, Context7, Sentry, and Fetch. Each gives your agent one concrete capability it didn't have before.

I run a handful of MCP servers every day, and most of the lists I read pad themselves out to thirty entries nobody installs. So this is the shorter version: the servers worth connecting, what each one is actually good for, and how to add one without wrecking your context window. heydecks, the deck tool I build, is on the list too, near the end, because it does one narrow job rather than ten.

#What is an MCP server?

An MCP server is a process that hands an AI agent a set of tools it can call. The agent says "list the open pull requests" or "run this SQL," the server does the work against the real system, and the result comes back as structured data the model can read. MCP, short for Model Context Protocol, is the wire format that makes this work across Claude, Cursor, VS Code, and any other host that speaks it.

The point is that the model stops being a chat box. Without a server, an agent can only talk about your repo or your database. With one, it can read the files, open the PR, query the rows, and check whether the change actually worked. That gap is the whole reason these servers exist, and it's why the good ones feel less like plugins and more like giving the model hands.

#Which MCP servers are worth installing first?

If you only wire up four or five, make them the ones that touch your daily work: your code, your data, a browser, and live docs. Here's the short table I'd hand a teammate setting up Claude Code or Cursor for the first time.

None of these is "the best." The best one is whichever closes the gap between what your agent can see and what your job needs it to touch.

#What does each of these servers actually do?

The servers split into a few jobs, and it helps to think in jobs rather than a ranked list.

Code and repositories. GitHub is the most-installed server for a reason: it lets the agent review issues, open pull requests, and search across repos without you copy-pasting URLs. Filesystem and Git are the local pair. Filesystem reads and writes files in folders you allow; Git handles commits, diffs, and branch state. Together they're what lets an agent work on a project the way you would, in the working tree and in version control at once.

Browser and web. Playwright (and the older Puppeteer server) hands the agent a real browser, so it can fill a form, take a screenshot, or run an end-to-end test by actually clicking through the app. Fetch is the lightweight cousin: give it a URL and it returns the page as markdown the model can read. Brave Search adds live web results. Context7 is the one I'd argue is underrated; it pulls current documentation for whatever library you're using, which cuts down the agent confidently calling a method that got deprecated two versions ago.

Data and monitoring. The Postgres-style servers let an agent read a schema and run queries, which turns "what's our churn this month" into something it can answer from the database instead of guessing. Supabase ships its own server for the same job. Sentry feeds production errors and stack traces straight into the chat, so debugging starts from the real trace rather than your half-remembered description of it.

One honest note on provenance. Anthropic maintains a small reference set (Filesystem, Git, Fetch, Memory, and a few others), while the big integrations like GitHub, Sentry, and Slack now ship as official servers built by the companies themselves. The old habit of saying "the reference Postgres server" is out of date; a lot of those moved out of the core repo and are now vendor-owned or community-maintained. Check who publishes a server before you trust it with write access.

#What are the best MCP servers for coding and developers?

For coding specifically, the high-value set is small: GitHub, Filesystem, Git, a database server, Context7, and Playwright when you're testing UI. That covers reading and writing code, version control, your data, current docs, and the browser. Add Sentry the day you're chasing a production bug.

Here's the part most listicles skip. Every connected server loads its tool descriptions into the model's context before you've asked anything, so installing twenty of them quietly burns the budget the model needs for your actual code. Google's AI Overview for this query puts the practical ceiling at three to five servers, and that matches what I see: past a handful, the agent gets slower and more distractible, not smarter. Install the ones the current task needs and disconnect the rest. A lean set beats a long one.

#Are the best MCP servers free, and which are official?

Most of the well-known servers are free and open source. GitHub's, Sentry's, Playwright's, and the Anthropic reference servers are all free to run; what you pay for is the thing behind them, like a Postgres host, a Brave Search API key, or a Sentry plan. The server is just the adapter.

"Official" is worth checking, though, because anyone can publish a server. The safest ones come from the vendor whose product they wrap (GitHub publishes the GitHub server, Sentry the Sentry server) or from Anthropic's own reference list. Directories like mcpservers.org and the community "awesome MCP servers" repos are good for discovery, but a server with write access to your repo or your database is code you're trusting, so read who maintains it and what scopes it asks for before you connect it. heydecks falls in the paid-service camp: the server is free to connect, and building a deck spends credits, the same as building one in the dashboard or over the API.

#How do you add an MCP server to Claude, Cursor, or VS Code?

Adding a server is usually one command or a few lines of config, and the host handles the connection from there. For a remote HTTP server in Claude Code, it's a single line:

claude mcp add --transport http heydecks https://heydecks.com/mcp

The first call opens a browser to sign in (standard OAuth, nothing to paste), and after that the agent can build and edit decks as you. Cursor takes the same remote URL as a small JSON block and runs the sign-in for you:

{ "mcpServers": { "heydecks": { "url": "https://heydecks.com/mcp" } } }

Most servers follow this shape: a transport (stdio for local processes, HTTP for remote ones), a URL or a command, and either OAuth or a token. Restart the host, confirm the server shows up in its MCP panel, and start with a small request to check it's wired correctly before you hand it anything destructive.

#Can an MCP server build a slide deck?

Yes, and this is the one job I can speak to directly, because it's what heydecks does. heydecks is the AI slide creator that AI agents call over REST or MCP. From a prompt, markdown, or a URL it returns a live deck link, a PDF, and a native, editable PowerPoint, every export locked to your brand by the Brand Kernel. It's one entry on this list, not the headline; you reach for it at the end of a task, once the analysis is done and the thing left to do is turn it into slides someone can present.

The honest framing: the other servers on this list get the work done, and heydecks is where some of that work becomes a deck. An agent that just queried your database for the quarter's numbers can hand them straight to heydecks and get back a Claude-built PowerPoint on your colors and fonts, instead of you exporting a CSV and fighting a template for an hour.

Here's a deck heydecks built from a single URL, rendered on a sample brand. Click through it.

See how it works on the MCP server page, do the same thing over the REST API for free, or read the developer docs to wire it into your agent. Adding it is the one line above:

claude mcp add --transport http heydecks https://heydecks.com/mcp

#Frequently asked questions

#What is the most popular MCP server?

GitHub is the most-installed MCP server, and it shows up at or near the top of nearly every 2026 list. It lets an agent manage pull requests, search repositories, and read or close issues directly, which covers a large share of what developers want an agent to do. Filesystem and Playwright are the usual runners-up.

#How many MCP servers should I install?

Three to five for most setups. Each connected server loads its tool descriptions into the model's context before you ask anything, so a long list eats the budget your real work needs and makes the agent slower to pick the right tool. Connect the servers the current task touches, and disconnect the rest.

#Are MCP servers safe to use?

They're as safe as the code behind them and the access you grant. A server with write access to your repo or database is software you're trusting, so prefer ones published by the vendor or by Anthropic's reference list, check the scopes it requests, and use OAuth or short-lived tokens rather than long-lived secrets. Read what a server can do before you connect it.

#Can an MCP server make a PowerPoint?

Yes. heydecks runs a hosted MCP server that turns a prompt, markdown, or a URL into a live deck, a PDF, and a native, editable .pptx in one call, with every export locked to your brand. It works with Claude and other MCP-aware agents, and you can do the same thing over its REST API.