Awesome MCP servers & Skills for your agent
An awesome, browsable list of open-source MCP servers and Claude/Cursor-style Skills — search, compare, and install with the exact config snippet for your client.
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From finding a tool to running it, in three steps.
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View all posts →MCP servers on GitHub come from four different places — the official repo, company org accounts, community awesome-lists, and solo maintainers — each with a different built-in trust level. A real checklist (commit recency, permissions requested, license, maintainer history) for telling a trustworthy server from one that will waste your afternoon.
Claude Desktop, Claude Code, Cursor, VS Code, and Windsurf all have native MCP support in 2026 — plus a growing list of extensions like Cline, Continue, Zed, and JetBrains's AI Assistant. Here's what's actually native vs. add-on, and how to tell the difference before you assume a tool supports it.
MCP and REST API solve different problems and aren't really competing designs — REST is a convention for building HTTP APIs a human developer integrates once; MCP is a protocol for letting an AI agent discover and call tools dynamically, often by wrapping an existing REST API underneath.
Stop context-switching. Start building.
Why developers are wiring MCP servers into their agents instead of hand-rolling API integrations.
What is DReview?
DReview is a free, open directory of Model Context Protocol (MCP) servers and Claude/Cursor-style Skills. Every listing includes the exact install config for Claude Desktop, plus Cursor, VS Code, and Windsurf for tools that support them, so you can go from finding a tool to running it in one copy-paste — no digging through a GitHub README to figure out the right flags.
What is an MCP server?
An MCP server is a program that exposes a specific capability — a database connection, a browser, a chat platform — to an AI agent using the Model Context Protocol, an open standard originally introduced by Anthropic. A client like Claude Desktop or Cursor connects to it, and the agent gains access to whatever tools the server defines. Servers run one of two ways: local (stdio), as a subprocess on your own machine, or remote (SSE), hosted centrally so any client can connect over HTTPS. A Skill is a lighter-weight variant of the same idea, bundled directly with a specific client instead of running as its own process.