Generic "best MCP server" lists include things like Notion and Google Calendar. Useful for some people, irrelevant for most developers. So here's a developer-specific list — the servers that actually fit into a coding workflow and save you real time on the things you do every day.

Developer MCP server comparison table

Server Primary Use Case Cost Difficulty Best For
FilesystemCodebase review, file opsFreeEasyAll devs
GitHubPR reviews, issue automationFreeEasyAll devs
GitLocal repo history, diffsFreeEasyAll devs
PostgreSQLDatabase queriesFreeMediumBackend/fullstack
SQLiteLocal data analysisFreeEasyBackend/mobile
Brave SearchReal-time docs & error lookupFree tierEasyAll devs
FetchAPI testing, web scrapingFreeEasyBackend/fullstack
PuppeteerBrowser automation, UI testingFreeMediumFrontend
MemoryPersist project contextFreeEasyAll devs
SentryError tracking, debuggingFree tierMediumBackend/DevOps
Developer MCP servers comparison table showing Filesystem, GitHub, PostgreSQL, Puppeteer, Brave Search, and Memory servers with setup time, auth requirements, cost, and difficulty ratings for developers
Six essential MCP servers for developers — ranked by setup difficulty with the recommended starter stack highlighted.

The non-negotiable starting stack

If you're a developer using Claude, these three servers should be your baseline:

1. Filesystem + GitHub = whole-codebase AI assistance

The filesystem server gives Claude access to your local files. The GitHub server gives it access to your remote repos and PR history. Together, you get a genuinely useful pair: Claude can read your local code, understand the full codebase structure, and also fetch and review GitHub PRs — all from the same conversation.

Real example: "Look at the TypeScript files in my src/ folder and review PR #47 on GitHub. Does the PR's approach conflict with anything in the existing code?"

2. Git for local repo history

The Git MCP server works offline with local git repositories. Ask "who changed the auth module last and what did they change?" without touching GitHub. Useful for private repos, offline work, and fast local queries. Install with:

uvx mcp-server-git --repository /path/to/your/repo
Developer workflow diagram mapping code review, database exploration, browser testing, docs research, and project context tasks to their corresponding MCP servers: Filesystem plus GitHub, PostgreSQL, Puppeteer, Brave Search, and Memory
Real developer workflows mapped to MCP servers — plus example prompts showing how to use each server in practice.

Database developers: PostgreSQL or SQLite

Pick based on what you're working with. SQLite is better for local app databases, exported data, and log files. PostgreSQL is better for production databases, staging environments, and anything beyond a flat file. Both expose a query tool that Claude can use to run SQL based on plain English questions.

The underrated use case: asking Claude to "analyze my database schema and identify any missing indexes based on my query patterns." Claude reads the schema, looks at your explain plans if you provide them, and gives you actual recommendations.

Frontend developers: Puppeteer MCP

The Puppeteer MCP server is the one most developer-focused lists skip. It gives Claude the ability to control a real Chrome browser — navigate to URLs, take screenshots, fill forms, click buttons, and scrape dynamically rendered content.

For frontend developers, this means Claude can actually test your UI. "Go to localhost:3000/login, try logging in with test credentials, and take a screenshot of what happens." It's not a full automated test suite, but for rapid debugging and visual verification it's genuinely useful.

Install it with: npx -y @modelcontextprotocol/server-puppeteer

Brave Search for real-time doc lookup

Every developer hits documentation walls. "What's the signature for the new React 19 useTransition hook?" or "What changed in Postgres 17's EXPLAIN output?" Brave Search MCP lets Claude look up the current answer instead of guessing from training data.

Pair it with the Fetch server: use Brave to find the right docs page, then Fetch to read the full page content.

Memory MCP — the underrated developer pick

The Memory server stores a persistent knowledge graph that survives across chat sessions. For developers, this means: tell Claude your project's tech stack once, and it remembers it in every future conversation. "My backend is FastAPI, database is PostgreSQL 16, ORM is SQLAlchemy 2.0" — saved, never needs repeating.

This is the server most developers don't install but should. The time saved from not re-explaining project context every session adds up fast.

Can I use these MCP servers in Cursor?

Yes. Cursor has native MCP support and uses the same JSON config format as Claude Desktop. Configure your MCP servers in Cursor's settings under "MCP." The server packages are identical — you're just pointing a different client at the same servers.

Frequently Asked Questions

The combination of the filesystem server (for local code) and the GitHub server (for PR reviews) gives the most complete code review workflow. The filesystem server lets Claude read your entire codebase; the GitHub server lets it fetch and review PRs directly from a URL.

Cursor has native MCP support — you configure it using a JSON config in Cursor's settings. VS Code doesn't natively support MCP, but extensions like Cline add MCP support. The server packages themselves are client-agnostic.

Backend developers get the most value from: filesystem (code access), GitHub (PR review), PostgreSQL or SQLite (database queries), Git (local repo history), and Brave Search (looking up library docs and error messages). That's the core backend developer stack.

Yes. There are community MCP servers for Kubernetes (reading cluster state), AWS (EC2, S3, CloudFormation queries), and Docker. Search github.com/modelcontextprotocol/servers and community directories like mcp.so for the latest DevOps-focused servers. Always audit community servers before running them with production credentials.