What Is the Model Context Protocol (MCP)?

A practical introduction to MCP — the open standard that lets AI agents connect to external tools and data sources through a unified interface.

·2 min read

The Model Context Protocol (MCP) is an open standard that defines how AI agents communicate with external tools and data sources. Think of it as USB-C for AI — one connector, many devices.

Why MCP Matters

Before MCP, every AI agent integration was bespoke. Want your agent to search the web? Build a custom integration. Need it to query a database? Build another one. Each tool provider had its own API format, authentication flow, and response schema.

MCP changes this by providing a single protocol that both tool providers and agent frameworks can implement. An agent that speaks MCP can connect to any MCP-compatible tool without custom glue code.

How It Works

MCP defines three core concepts:

Tools

Tools are functions that an agent can call. Each tool has a name, a description (so the agent knows when to use it), and a JSON schema for its parameters.

{
  "name": "search_web",
  "description": "Search the web for current information",
  "inputSchema": {
    "type": "object",
    "properties": {
      "query": { "type": "string" }
    },
    "required": ["query"]
  }
}

Resources

Resources are data that a tool can expose to the agent — files, database records, API responses. The agent can read resources to build context before making decisions.

Prompts

Prompts are pre-written templates that help agents use tools effectively. A tool provider can ship prompts alongside their tools to guide agent behavior.

Getting Started

Most MCP tools ship as a standalone server that your agent framework connects to. Here is a typical setup with Claude Desktop:

{
  "mcpServers": {
    "browserbase": {
      "command": "npx",
      "args": ["-y", "@browserbasehq/mcp-server"]
    }
  }
}

Once configured, the agent can discover and call the tool's functions automatically.

MCP-Compatible Tools on 4agent

Many tools in our catalog support MCP natively. You can filter by MCP support on the browse page to find tools that work out of the box with MCP-compatible agents like Claude, Cursor, and Windsurf.

B
Browserbase

Headless browser infrastructure built for AI agents

E
E2B

Cloud sandbox for AI agents to execute code

What's Next

MCP is still evolving. The protocol is adding support for streaming responses, authentication delegation, and multi-step tool workflows. As the ecosystem grows, expect more tools to ship with MCP support by default.

Tip

Browse all MCP-compatible tools on 4agent to find integrations for your agent workflow.

mcpagentsprotocolintegration