MCP server examples for developers
Explore practical MCP server examples for docs, files, databases, browser workflows and SaaS operations.
Quick answer
Useful MCP servers give an agent controlled access to a specific surface: docs, files, browser state, databases, tickets, calendars or internal tools.
Good examples
Start with documentation lookup, local file search, browser automation, issue tracker access and read-only data tools before adding write capabilities.
Safety rule
Every MCP server should have a clear permission boundary and a reason to exist in the workflow.
FAQ
Should every tool become an MCP server?
No. Add MCP only when it removes repeated manual work or gives the agent safer structured access than copy-paste.
Map useful MCP servers
Related guides
Claude Code MCP: Connect Servers & Tools
Claude Code MCP (Model Context Protocol) lets you plug external tools and data into Claude. Full guide: how to add an MCP server, list available ones, and the patterns that work.
A Claude Code conversation can only do so much with the tools shipped in the box. The moment you want Claude to touch Notion, Stripe, your AWS account, a specific database you need MCP. MCP (Model Context Protocol) is the standard that connects Claude to external tools. Here's what it is, how to add servers, and the patterns that don't waste your time. What MCP actually is MCP is an open protocol. A small server process (the "MCP server") exposes a set of tools. Claude Code (the "MCP client") talks to it over stdio or HTTP. When Claude needs to call one of those tools, it sends a JSON RPC request; the server runs the function and returns the result. Three pieces: MCP server the process that exposes tools. Usually npx installable. Examples: filesystem, GitHub, Notion, Stripe, Postgres. MCP client Claude Code itself. It manages connections, surfaces tools to the…
Read the guideConnect Claude to Notion, Gmail & Drive
Claude Code MCP servers let Claude read and write Notion, Gmail, and Google Drive. Step-by-step setup guide for the three most useful ones.
Claude out of the box knows text. Claude connected to your tools knows your business. The bridge is MCP Model Context Protocol. It's an open standard that lets Claude talk to external services through a local server. Once connected, Claude can read your Notion pages, search your emails, and list your Drive files as naturally as it reads your code. Here's how to set it up for the three tools I use most. What MCP actually is An MCP server is a small process running locally that exposes tools Claude can call. When you ask Claude "what did I write in my Notion project notes?", Claude calls the Notion MCP tool, gets the content, and responds with it. Everything goes through your machine. Your data doesn't leave to a third party service it goes from your tool's API to your local MCP server to Claude. Configuration lives in /.claude/settings.json under…
Read the guideBuilding AI agents that actually work
Most 'agents' are brittle pipelines dressed up with AI. Here's the anatomy of a reliable agent, three patterns that hold up in production, and when to use n8n vs code.
Everyone is building agents. Most of them break on the third run. The failure mode is always the same: the AI is asked to do too much, in the wrong place. The agent fails not because AI is unreliable it's because the architecture made reliability impossible. Here's what I've learned building agents that actually run week after week. The anatomy of a reliable agent Every agent that works has three parts, and only one of them should involve AI. Trigger something deterministic starts the agent. A schedule, a webhook, a file drop, a form submission. Not "whenever the AI decides it's time." Context the agent gathers what it needs before calling the AI. The document, the data, the user preferences, the constraints. The AI call happens with full context, not halfway through discovery. Action after the AI produces output, something deterministic happens with it. It gets saved, sent, logged, or…
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