Model Context Protocol (MCP)
Our verdict
MCP is the plumbing that makes agents useful: write a tool server once and use it from Claude, Cursor, VS Code and more. Learn it before building custom tool integrations.
- Who it's for
- Anyone giving agents access to tools or data
- Leverage
- One integration, many AI clients
- Effort
- Medium
- Date added
What it does
The Model Context Protocol is an open protocol that standardises how AI applications connect to external tools, data sources and workflows.
How builders use it
- Install existing MCP servers for GitHub, databases, browsers.
- Wrap your own API as an MCP server so any agent can use it.
- Scope permissions per server.
What to expect
Agents that can act on your real systems through a standard interface.
Related discoveries
- Multi-Step Agent SetupsTool
MCP reference servers
Official example MCP servers to use or learn from.
Effort: Low
- Multi-Step Agent SetupsTool
GitHub MCP Server
Give agents structured access to issues, PRs, code and Actions.
Effort: Low
- Research & AutomationUse case
Make MCP Server: call your scenarios from any AI client
Expose Make scenarios as tools to Claude, Cursor and other MCP clients.
Effort: Medium
- Vibe-Coding & Prompt-to-AppTool
Supabase MCP server
Let your AI tools manage Supabase tables, migrations and queries.
Effort: Low
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