Best MCP Servers for Claude and Claude Code

Claude and Claude Code both support MCP natively, which means the question isn’t whether you can connect external tools — it’s which ones are actually worth connecting. A good MCP server for Claude has three things going for it: native transport support (stdio for Claude Code, stdio or remote for Claude Desktop and claude.ai), a tool count that doesn’t bloat your context window, and auth that doesn’t require a maintenance habit.

This list is organized by what you’re actually trying to do, not by category for its own sake.

What Makes a Server Worth Connecting

Before the list, three things to check on any MCP server you’re considering:

• Transport fit. stdio servers run locally and work with Claude Code and Claude Desktop. Remote servers (SSE/HTTP) are required for claude.ai on the web.
• Tool count. A server with 5-15 focused tools beats one with 50 tools you’ll never call — every tool definition costs context.
• Maintenance activity. Check the last commit date. An MCP server with no updates in six months accumulates security debt the same way any other dependency does.

Coding

Filesystem — Read, write, and edit files beyond what Claude’s built-in tools reach. The foundation for any coding workflow that touches a real project directory.

GitHub — Issues, PRs, commits, and repo search. If your work lives in GitHub, this is close to a default connection.

Shell / code execution — Run commands, tests, and scripts directly. Pairs naturally with Filesystem for anything beyond read-and-suggest workflows.

Productivity

Google Calendar — Schedule lookups and event creation without switching context out of a Claude session.

Gmail — Read and draft email. Useful for triage and summarization workflows specifically — treat send actions with the same caution you’d give any automated email tool.

Notion — Read, search, and update Notion pages and databases. A strong fit if your team’s documentation and planning already live there.

Data

Postgres / SQLite — Query and inspect databases directly. Start read-only; add write access only once the workflow is validated.

Google Sheets — Read and analyze spreadsheet data without exporting to CSV first.

Google Analytics 4 — Natural-language access to GA4 dimensions and metrics for anyone doing regular reporting.

Search

Brave Search — Live web search for anything outside Claude’s training data or that’s changed recently.

Exa — Search built for AI consumption — cleaner extracted content than a raw search API.

Context7 — Up-to-date library and framework documentation, which avoids the common failure mode of an agent confidently citing an outdated API.

Quick Start: The First 3 Servers to Connect

If you’re new to Claude Code or MCP generally, don’t connect everything at once. Start here:

1. Filesystem — the workflows.
2. GitHub — if any part of your work touches version control, this is next.
3. Brave Search (or Exa) — gives Claude current information without you having to paste it in manually.

Validate that these three work as expected before adding more. Every additional server is additional context overhead and one more thing to maintain.

FAQ

Do MCP servers work with Claude Code?

Yes. Claude Code supports MCP natively over stdio, the same as Claude Desktop.

What’s the best MCP server to start with?

Filesystem, for most coding workflows — it’s the one thing almost every other server assumes you already have. See the quick-start section above for a fuller starting set.

How many MCP servers can I connect to Claude?

There’s no hard limit, but practical constraints apply well before you’d hit one. Each connected server’s tools load into context before you type anything, so four to six well-scoped servers generally outperforms a dozen loosely-used ones.

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Browse the full directory, filtered to Claude-compatible servers, at MyMCP Shelf.