In one sentence: Installing MCP is only the start — it's worth the effort only when you use it to actually get one thing done. Below are 3 of the most frequent and stable servers, each with typical usage.
For how to configure, see the MCP configuration tutorial; here we go straight to "how to use it once it's installed."
1️⃣ The official GitHub server: let AI manage your repos
Project: github/github-mcp-server (31.9k★, written in Go)
- Once installed, AI can: list repos, check Issues / PRs, read code files, create Issues, open PRs
- Typical prompts: "check whether this repo has any unmerged PRs recently", "summarize the comments on this issue", "write a README for this repo and open a PR"
Best for: developers doing everyday repo management, open-source contributors handling Issues in bulk.
2️⃣ Playwright: let AI drive the browser
Project: microsoft/playwright-mcp (35.8k★, official Microsoft, TypeScript)
- Once installed, AI can: open web pages, click buttons, fill forms, take screenshots, scrape page content
- Typical prompts: "open example.com and save a screenshot", "find all product titles and prices on this page for me", "fill out the login form and take a screenshot"
- Especially useful for test engineers: have AI run through a flow step by step as you dictate it and check whether the page throws errors
Best for: web testing, data collection, form automation, and as a scraping alternative.
3️⃣ MarkItDown: let AI understand your documents
Project: microsoft/markitdown (171.1k★, official Microsoft, Python)
- Once installed, AI can: convert Word / PDF / Excel / PPT into Markdown, then directly summarize, extract, and rewrite
- Typical prompts: "summarize the three core conclusions of this PDF report", "extract the outline of this 20-slide PPT", "which month had the highest sales in this Excel file"
- This is the one non-developers use most: where you used to hand AI a pile of documents it couldn't "read" (especially PDF/PPT), now you convert to Markdown first and then ask
Best for: office workers handling contracts/reports/course handouts, students organizing lecture notes and paper materials.
What else is worth installing? (pick as needed)
| Server | stars | What it does | Best for |
|---|---|---|---|
| Panniantong/Agent-Reach | 76.2k | Lets AI read/search Twitter, Reddit, YouTube, and GitHub content | Information gathering, content operations |
| DeusData/codebase-memory-mcp | 41k | Injects your whole codebase into AI's memory; millisecond queries across 35 languages | Programmers (large-repo scenarios) |
| chopratejas/headroom | 42.9k | Automatically manages the context window so long conversations stay coherent | Heavy AI users |
| t8y2/dbx | 17.2k | Lightweight database client + AI direct data queries | Data analysts |
| ahujasid/blender-mcp | 25.4k | Direct natural-language control of Blender for 3D modeling | 3D / creative design |
| apify/apify-mcp-server | 4.9k | 3,000+ pre-built cloud scraping tools | Teams that need a lot of scraping |
For the full list, see the MCP Encyclopedia list page; the first stop for finding MCP servers is punkpeye/awesome-mcp-servers (a 91k★ megacollection).
Pair with Skills to double the results
MCP handles "connecting tools", Skills handle "teaching how to do things" — for example: Playwright MCP lets AI click around a page + a "test-case generator Skill" tells it how to design tests, and you have a complete automation testing squad. See Skill vs MCP for details.