Model Context Protocol (MCP)

AI / MCP

Definition

The Model Context Protocol is an open standard that enables AI models to interact with external tools and data sources through a unified interface. It provides a structured way for LLMs to call functions, access APIs, and retrieve real-time information.

How It Relates to CrawlForge

MCP is the foundation of CrawlForge's architecture. Instead of building custom integrations for each AI platform, CrawlForge exposes its 18 web scraping tools through the MCP standard. Any MCP-compatible AI client -- Claude, GPT, or custom agents -- can discover and use these tools immediately.

This means your AI agents gain web scraping capabilities by simply connecting to the CrawlForge MCP server, with no custom code or API wrappers needed. The protocol handles tool discovery, parameter validation, and response formatting automatically.

Related CrawlForge Tools

Related Terms

MCP Server

An MCP server is a service that exposes tools and resources through the Model Context Protocol. It registers available functions, handles incoming tool calls from AI clients, and returns structured results.

MCP Client

An MCP client is an application or AI model that connects to MCP servers to discover and invoke tools. It sends tool call requests and processes the structured responses returned by the server.

Tool Use

Tool use is the capability of AI models to interact with external tools, APIs, and services to accomplish tasks beyond text generation. It extends model capabilities to include web browsing, code execution, data retrieval, and more.

Function Calling

Function calling is the ability of language models to invoke external functions or APIs during a conversation. The model decides when to call a function, generates the appropriate arguments, and processes the returned results.

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