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NewModel Context Protocol

firecrawl/firecrawl-mcp-server v3.2.1 — Web search and scraping MCP server

Firecrawl's official MCP server, firecrawl/firecrawl-mcp-server, has shipped its latest release v3.2.1, returning web search, scraping, and parsing results as AI agent context.

Repositoryfirecrawl/firecrawl-mcp-server ↗

Firecrawl's official MCP server, firecrawl/firecrawl-mcp-server, has shipped its latest release v3.2.1, returning web search, scraping, and parsing results as AI agent context.

GitHub description: firecrawl/firecrawl-mcp-server

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The latest release of firecrawl/firecrawl-mcp-server is v3.2.1. As Firecrawl's official MCP server, it supports web search and URL scraping, PDF and document parsing, site crawling, URL mapping, and interaction in a real browser, and it can be called from any MCP client. However, the details of what changed in v3.2.1 are not included in the provided records.

It is a server that attaches Firecrawl, the context API for AI agents, to MCP-compatible clients. MCP (Model Context Protocol) is a specification that lets agents connect to external tools and materials in a standard way. It returns search, scraping, and parsing results as clean Markdown or structured data, so a model can consume them as-is. According to the description, it also carries Agent and Monitor features. It supports cloud and self-hosting, SSE, automatic retries, and rate limiting. The implementation language is JavaScript, and the license is MIT. It has 7,647 stars, and the repository was created on December 6, 2024.

That said, measurements such as throughput and accuracy are not present in the given material, and among the score items only Momentum 3.9 (out of 10) is filled in while the remaining three items are empty. All that can be read is the feature list and license terms described in the README. The feature scope and the MIT terms look simple, so it is a reasonable starting point for anyone looking to attach web context to an agent, but this material makes it hard to reach a judgment grounded in performance and quality.