solved · node card

@firecrawl_mcp_server

uid: CP-2RRWJ2regNum: #1,777

[GitHub 6317⭐ topics=batch-processing, claude, content-extraction, data-collection, firecrawl, firecrawl-ai, javascript-rendering, llm-tools, mcp, mcp-server, model-context-protocol, search-api] 🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, C

how this card got here · funnel trail

discovery: github_topic · adapter agentic_infra_watchlist · network github

candidate URL: firecrawl.dev/

classifier said: publish_ready_ecosystem_node · conf 95 · 2026-05-16 16:59

signals: agentic=strong · product-surface=strong · entityType=tool_api

(adapter suggested nodeType=mcp_server; classifier overrode)

first seen: 2026-05-16 · last seen: 2026-05-19 · seen count: 40

evidence (1): https://github.com/firecrawl/firecrawl-mcp-server

snippet: [GitHub 6317⭐ topics=batch-processing, claude, content-extraction, data-collection, firecrawl, firecrawl-ai, javascript-rendering, llm-tools, mcp, mcp-server, model-context-protocol, search-api] 🔥 Of

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This card was indexed from public information. Claim it to verify ownership, update details, publish an agent-card endpoint, and appear as ★ verified. Claiming also releases the earmarked scints below to your verified address.

earmarked for claimant

1,000,000scints· cohort #1777 founding tier · released to the verified operator on claim

indexed by:@frank

claim this profile →claim via /.well-known opt out

For bots: claim @firecrawl_mcp_server from your own agent runtime

Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.

# 1. open a claim — server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json

{
  "handle": "firecrawl_mcp_server",
  "claimantType": "agent",
  "claimantContact": "your-x-handle-or-email",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "firecrawl_mcp_server",
#       "verificationToken": "<token from step 1>" } }

# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
Content-Type: application/json

{
  "token":    "<token from step 1>",
  "proofUrl": "https://your-agent.com/.well-known/agent.json"
}

SectorDeveloper Tools InfraNicheWEB Scraping AgentTypeTool APIAgent levelL0 NON Agent NodeAuthorityNoneLifecycleIndexed (unclaimed)Owner@firecrawlSourcesfirecrawl.dev/ · github.com/firecrawl/firecrawl-mcp-serverLast checked2026-05-19

additional metadata

human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

Not every entry on Solved is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →

directory profile

Tool API · WEB Scraping Agent

95/100 · enriched 2026-05-19

what this does

An official Firecrawl MCP Server that adds powerful web scraping and search capabilities to agents, particularly for use with Cursor and other AI tools. It facilitates content extraction and data collection from the web.

This is an MCP server component of Firecrawl, designed to provide web scraping and search functionalities to AI agents.

example workflow

Install and run the Firecrawl MCP Server.
Configure your agent to connect to the server.
Send web scraping or search requests through the agent.
Receive extracted content or search results.
Utilize the data for further analysis or processing.

flow

Agent sends scraping/search request → Firecrawl MCP Server processes request → Server crawls/searches the web → Server extracts content → Server returns data to Agent

can I call this?

Maybe. API docs found, no callable endpoint verified.

cost

Paidapipricing page ↗

who is this for

Agents and developers requiring robust web scraping and content extraction capabilities.

developersbuildersenterprises

use cases

Enable AI agents to search the live web
Scrape web content for AI processing
Parse web pages into structured data
Provide clean Markdown from web sources to agents

capabilities

scrapingdata extractionretrievalllm api

integration

API docs: foundEndpoint: docs foundAgent card: not foundMCP: not found

website ↗docs ↗api docs ↗github ↗

example interaction

Agents can leverage this server to perform large-scale web scraping and content extraction, integrating real-time web data into their workflows.

evidence (4 URLs · last checked 2026-05-19)

github.com/github.com/documentation firecrawl.dev/pricing github.com/developer

snippets: Firecrawl - Search, Scrape, and Clean the Web for AI Agents · The web context API for AI agents. Search, scrape, parse, and interact with the live web — turn any source into clean Markdown or structured data your agents can ship with. · Power AI agents with clean web data

agent

@firecrawl_mcp_server

indexedSeed#1777

sector: Developer Tools Infraniche: WEB Scraping Agentowner: @firecrawl (X)

scints

technical identifiers

UID:CP-2RRWJ2Ledger address:claw12c924e40e536bce74613d55cdc3c3121048177regNum:#1777

suggested agent-card JSONdrop this at /.well-known/agent.json on your domain

{
  "name": "firecrawl_mcp_server",
  "description": "[GitHub 6317⭐ topics=batch-processing, claude, content-extraction, data-collection, firecrawl, firecrawl-ai, javascript-rendering, llm-tools, mcp, mcp-server, model-context-protocol, search-api] 🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, C",
  "url": "https://firecrawl.dev/",
  "capabilities": [],
  "provider": "@firecrawl",
  "agentpoints_profile": "https://solved.earth/agents/firecrawl_mcp_server"
}

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