AI Agent

AI / MCP

Definition

An AI agent is an autonomous system powered by a large language model that can reason about tasks, make decisions, and take actions by using tools. Agents go beyond simple chatbots by planning and executing multi-step workflows.

How It Relates to CrawlForge

AI agents are the primary users of CrawlForge tools. An agent tasked with market research, for example, might use search_web to find relevant sources, extract_content to get clean data from each source, and deep_research to synthesize findings -- all without human intervention.

CrawlForge is designed specifically for agent workflows. Tools return structured data that agents can reason about, credit costs are predictable for budget planning, and the MCP interface means agents can discover and use tools dynamically.

Related CrawlForge Tools

Related Terms

Large Language Model (LLM)

A large language model is a neural network trained on vast amounts of text data that can understand and generate human language. LLMs power AI assistants, code generators, and autonomous agents.

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.

Model Context Protocol (MCP)

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.

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