MCP100 Assessment

Editorial verdict

Recommended for controlled web acquisition when target URLs, prompt-injection exposure, collection policy, API credentials, and credit consumption are explicitly governed.

Reviewed September 5, 2026

Task Fit

Mapped

Web search and research

Trust

Reviewed

A dated editorial review is published on the MCP detail page.

Maintenance

Activity observed

A dated repository or package update is available; editorial maintenance review is still pending.

Popularity

Signals available

Visible usage signals are shown for discovery only, not as proof of safety.

Best for

Scraping and extracting public web pages
Search, crawl, map, batch, and research workflows
Teams already using Firecrawl API limits and governance

Not ideal for

Simple known-page fetches that do not justify a paid API
Sites whose terms or access controls prohibit automated collection
Workflows requiring guaranteed freshness or extraction accuracy

Avoid if

You cannot govern which URLs the agent may access
The workflow may collect personal, confidential, copyrighted, or access-controlled content without review
Unexpected API-credit consumption is unacceptable

Trade-offs

Broad scrape, crawl, search, and autonomous-agent tools are powerful but enlarge prompt-injection, compliance, and cost exposure.
Cloud mode is easy to configure; self-hosting adds operational burden.
Remote URL forms that embed an API key are convenient but can leak through configuration, logs, screenshots, or history.
The reviewed v2.0.0 release moved the MCP server to the Firecrawl v2 API and added Streamable HTTP.

Evidence scope

Evidence

Current source snapshot

Popularity

7.5k MCP repository stars

126.7k package downloads / 30 days

Repository identity: firecrawl/firecrawl-mcp-server

Package identity: firecrawl-mcp · version 3.25.4

Stars observed September 24, 2026 · Downloads observed September 24, 2026

Exact reviewed repository identity; current GitHub repository stars are eligible as repository-level adoption evidence.

Exact MCP-specific package identity verified against the reviewed canonical repository.

Maintenance

Publisher activity observed September 24, 2026

Current source snapshot

Trust review

Source relationship: First-party MCP

Reviewed September 5, 2026

Sources

GitHub repository — firecrawl/firecrawl-mcp-server.git ↗Package registry ↗

Supporting evidence (1)

GitHub repository — firecrawl/firecrawl-mcp-server ↗

Evidence-backed setup

Install & Agents

Choose your MCP client. A client connects to the MCP server; the language model is selected inside that client. Only stored, source-backed configurations are shown.

Claude Code

Local stdio

MCP100 logic checked

claude mcp add firecrawl -e FIRECRAWL_API_KEY="YOUR_API_KEY" -- npx "-y" "firecrawl-mcp"

The publisher connection details were combined with this client's official MCP transport configuration; installation was not executed by MCP100.

Verify safely: Restart Claude Code, confirm firecrawl tools are listed, and perform one read-only test with non-sensitive data.

Uninstall and revoke

Remove firecrawl from Claude Code, restart the client, remove any separately installed package, and revoke dedicated credentials if used.

Evidence & methodology

Publisher-documented setup is not the same as MCP100 execution testing. “MCP100 logic checked” means the stored configuration shape was reviewed, not that third-party MCP software was run.

Evidence checked 2026-07-24

Evidence 1 ↗Evidence 2 ↗

Show source-catalog configuration

npx -y firecrawl-mcp@3.24.0

Capability

What it does

Search, scrape, crawl, and extract web content through Firecrawl.

Search & WebMedia & MarketingRetail & E-commerceSoftware & Technology

Representative uses

Scraping and extracting public web pages
Search, crawl, map, batch, and research workflows
Teams already using Firecrawl API limits and governance

Important limits

Simple known-page fetches that do not justify a paid API
Sites whose terms or access controls prohibit automated collection

Tools3 toolsView tools

firecrawl_parse
Parse an uploaded or local document into clean, LLM-ready content.
firecrawl_scrape
Retrieve and extract content from a web page.
firecrawl_search
Search the web and return ranked results.

Context Footprint

~2.3K estimated schema tokens

Context impact: Low

Avg. 757.333 tokens / tool

Estimated token footprint of the MCP tool schemas exposed to the agent.

Runtime verified · 3.24.0 · Aug 21, 2026

Reviewed access

Access & risk

Review the exact access boundary before connecting this MCP to accounts, credentials, or sensitive data.

Authentication: Cloud and local-package configurations use FIRECRAWL_API_KEY. Official docs also show hosted MCP URLs containing the key; environment-variable or protected input handling is safer than embedding the key in a URL.
Permissions: The MCP can initiate outbound requests to user- or model-selected URLs and invoke Firecrawl scrape, search, crawl, map, extraction, batch, and research capabilities according to enabled tools and account limits.
Data handling: URLs, queries, extraction schemas, and retrieved page content are processed by the configured Firecrawl service. Cloud mode sends them to Firecrawl; self-hosted mode follows the operator's deployment and any configured model/provider dependencies.
Cost: MCP calls consume the account's standard Firecrawl API credits and rate limits. Search, crawl, batch, and agent operations can consume more resources than single-page scraping; current plan pricing applies.
Risk and cautions: Main risks are prompt injection from untrusted pages, collection-policy violations, sensitive URL/query disclosure, API-key leakage, and agent-driven credit spend. Use URL allow-lists, low limits, human approval, and a dedicated low-budget key.

Related reviewed MCPs

Other options

Hugging Face MCP

MCP100 Recommended

Search Hugging Face Hub resources and use explicitly enabled Jobs, sandboxes, and community Space tools.

Choose this instead if

Choose Hugging Face MCP instead if searching models, datasets, Spaces, papers, and Hugging Face documentation.

Search Hugging Face Hub resources and use explicitly enabled Jobs, sandboxes, and community Space tools.

Compare with Firecrawl MCP View Hugging Face MCP details

Playwright MCP

MCP100 Recommended

Let AI clients inspect and automate web browsers with Playwright.

Choose this instead if

Choose Playwright MCP instead if inspecting and testing web interfaces through accessibility snapshots.

Let AI clients inspect and automate web browsers with Playwright.

Compare with Firecrawl MCP View Playwright MCP details

HubSpot MCP

MCP100 Recommended

Connect OAuth-capable AI tools to HubSpot CRM data and supported read/write workflows.

Choose this instead if

Choose HubSpot MCP instead if querying CRM records, activities, marketing content, and organizational context.

Connect OAuth-capable AI tools to HubSpot CRM data and supported read/write workflows.

Compare with Firecrawl MCP View HubSpot MCP details

Read publisher documentation

Publisher documentation

MCP100 source-backed summary

A concise MCP100 summary built from the reviewed publisher sources. It is not a publisher README; use the original link for the latest full documentation.

View original README ↗

Firecrawl MCP

Search, scrape, crawl, and extract web content through Firecrawl.

What it can help with

Scraping and extracting public web pages
Search, crawl, map, batch, and research workflows
Teams already using Firecrawl API limits and governance

Important limits

Simple known-page fetches that do not justify a paid API
Sites whose terms or access controls prohibit automated collection
Workflows requiring guaranteed freshness or extraction accuracy

Loading optional publisher documentation…

FAQ

What can Firecrawl MCP do?

Search, scrape, crawl, and extract web content through Firecrawl.

Can Firecrawl MCP scrape a single webpage?

The reviewed tool surface includes firecrawl_scrape. This does not claim that MCP100 executed those tools.

Does Firecrawl MCP work with Claude Code?

Yes. MCP100 reviewed an evidence-backed setup for Claude Code, but has not independently verified it with a live runtime test.

What are the main risks of using Firecrawl MCP?

Main risks are prompt injection from untrusted pages, collection-policy violations, sensitive URL/query disclosure, API-key leakage, and agent-driven credit spend. Use URL allow-lists, low limits, human approval, and a dedicated low-budget key.

Is Firecrawl MCP free?

MCP calls consume the account's standard Firecrawl API credits and rate limits. Search, crawl, batch, and agent operations can consume more resources than single-page scraping; current plan pricing applies.

Is this an official MCP?

Firecrawl is listed as First-party MCP in MCP100’s current evidence.

Current official resources: