"Firecrawl MCP (Model Context Protocol) Integration" matching MCP servers:

A Model Context Protocol (MCP) server implementation that integrates with FireCrawl for advanced web scraping capabilities.

Integrates Firecrawl for web scraping, crawling, search, and content extraction capabilities. Supports single/batch scraping, URL discovery, structured data extraction, deep research, and AI-powered web analysis with automatic retries and rate limiting.

A recoverable Firecrawl MCP server that adds payment lifecycle, idempotency, and automatic refunds/fallbacks to web scraping, enabling reliable paid scraping via natural language.

Enables web scraping, crawling, and content extraction by integrating with the Firecrawl API. It supports deep research, batch scraping, and automatic rate limiting for both cloud and self-hosted environments.

A Model Context Protocol server for web scraping and searching, with automatic fallback from Tavily to Firecrawl for fetching web content.

Enables AI assistants to interact with Square's Connect API through the Model Context Protocol standard, allowing for operations like managing customers, processing payments, and handling inventory.

Autonomous DeFi yield for AI agents on Base. Query APY rates, agent status, payment splits, and referral stats. 4 read-only tools + 1 resource.

Provides web scraping, crawling, and site mapping capabilities by connecting directly to a self-hosted Firecrawl instance. It enables users to extract website content in markdown format and manage crawling jobs without an external API key.

An MCP server that enables AI models to retrieve information from Ragie's knowledge base through a simple 'retrieve' tool.

This server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly.

Open-source MCP server that wraps Firecrawl and adds Copyright.sh licensing, usage logging, and optional x402 licensed fetch.

A server that provides web scraping and intelligent content searching capabilities using the Firecrawl API, enabling AI agents to extract structured data from websites and perform content searches.

An MCP server that seats multiple LLMs as a council, letting your assistant query them in parallel or in sequence, relay answers for cross-critique, and merge conclusions within one conversation.

MCP server that pings 130+ free coding LLM models across 17 providers in real-time, ranks them by latency, and helps AI agents pick the fastest available model.

Trust infrastructure for the agent economy.

Provides up-to-date AI model names and pricing from models.dev, solving model hallucination by fetching recently released models.

MCP server for parsing, validating, building and explaining FIX protocol trading messages — offline, no API keys.

An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.

A production-ready Model Context Protocol (MCP) server that integrates with the Firecrawl API to give AI assistants the power to scrape, crawl, and search the web.

A Firecrawl MCP server with built-in support for multiple API key rotation, enabling web search, scraping, crawling, extraction, and more via MCP clients.