Firecrawl introduces an updated Model Context Protocol server that cuts context window usage by 50% while offering agent-ready web search and scraping capabilities.
Firecrawl has released a major update to its Model Context Protocol (MCP) server, bringing optimized web scraping, crawling, and interaction features to AI agents and clients like Claude Desktop, Cursor, and Windsurf. The updated server cuts context consumption by 50% across `/search`, `/scrape`, and `/interact` endpoints. Additionally, it streamlines onboarding with OAuth support for humans and a keyless setup for autonomous agents.
Reducing context window bloat by 50% is a massive efficiency boost for agentic workflows where HTML token overhead usually dominates costs and degrades long-context performance.
* Significant token optimization makes scraping heavily populated pages feasible in routine tool calls.
* Keyless agent onboarding removes configuration friction for automated AI pipelines.
* Native integration across popular MCP clients solidifies Firecrawl's position as a default web retrieval tool for developers.
DISCOVERED
1d ago
2026-08-07
PUBLISHED
1d ago
2026-08-07
RELEVANCE
AUTHOR
[REDACTED]
