ClaudeWave
5 min read · 4/14/2026

What is MCP (Model Context Protocol)?

MCP is Anthropic's open standard that lets Claude connect to tools, APIs, and data sources. Think 'USB-C for AI'. Learn what it is, how it works, and why 2000+ servers already exist.

The short answer

The Model Context Protocol (MCP) is an open standard, published by Anthropic in late 2024, that lets AI assistants like Claude communicate with external tools, databases, APIs, and data sources using a common language.

If the AI is the brain, MCP is the USB-C port. Any tool that implements MCP can be plugged into Claude without writing custom integration code. That's why the ecosystem exploded from 50 servers in January 2025 to over 2,000 today.

Why it matters

Before MCP, if you wanted Claude to read your Notion, write SQL against Postgres, or control a browser, you had to either build a custom API wrapper yourself or wait for Anthropic to ship an official integration.

MCP flipped that. Now anyone can build a server that exposes tools, resources, or prompts over a standardized JSON-RPC interface. Claude discovers it automatically and can use it in conversations.

OpenAI adopted MCP in April 2025. Google DeepMind added support for Gemini. Cursor, Zed, Continue, Warp, and most serious AI devtools speak MCP today. It's become the de-facto standard.

How an MCP server works

An MCP server is a small program running on your machine (or in the cloud) that exposes one or more of three primitives: tools (functions Claude can call), resources (data Claude can read), and prompts (templates Claude can use).

When you launch Claude Desktop with an MCP server configured in claude_desktop_config.json, Claude connects over stdin/stdout or HTTP and asks 'what can you do?'. The server responds with a list of available tools and their schemas. Claude then decides when to call them based on what you ask.

Example: you install the GitHub MCP server, ask Claude 'what are my open PRs?', and Claude calls the server's list_pull_requests tool, gets back JSON, and summarizes it for you. Zero custom code.

Installing an MCP server

The simplest case is an npx-based server. Add this to your claude_desktop_config.json (~/Library/Application Support/Claude/claude_desktop_config.json on Mac, %APPDATA%/Claude/claude_desktop_config.json on Windows):

{"mcpServers":{"github":{"command":"npx","args":["-y","@modelcontextprotocol/server-github"],"env":{"GITHUB_PERSONAL_ACCESS_TOKEN":"ghp_..."}}}}

Restart Claude Desktop. The server appears automatically. Same flow works for uvx (Python), pip+python, docker, and locally-built binaries.

We have 2000+ MCP servers indexed on ClaudeWave with ready-to-paste install snippets for each.

The top MCP servers right now

Browse the live leaderboard on our MCP category page. As of 2026-Q2, the most-used MCP servers cover: filesystem access, GitHub, Slack, Postgres/MySQL, web search (Brave, Tavily, Exa), browser automation (Playwright, Puppeteer), and LLM-vector stores (Pinecone, Chroma).

FAQ

Is MCP only for Claude?
No. It started at Anthropic but became an open standard. OpenAI, Google DeepMind, Cursor, Zed, Warp, Continue, and most modern AI dev tools support MCP.
Do I need to know Python/TypeScript to use MCP?
To use a server, no — you just paste a JSON snippet into claude_desktop_config.json. To build one, yes: most servers are in TypeScript or Python using the official SDK.
Are MCP servers safe?
They run with your user's full permissions. Always check the code or install from trusted sources. Claude Desktop asks for permission before the first tool call from a new server.
What's the difference between an MCP server and a Claude skill?
MCP servers expose external tools/data via a protocol. Claude skills are reusable conversation snippets and workflows distributed inside Claude Code. Different layer, different purpose.
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