Field-by-field comparison

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MCPs in this comparison

penpotFirecrawl MCP

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Comparable alternatives

Azure MCP ServerMCP100 SelectedChrome DevTools MCPMCP100 SelectedContext7 MCPMCP100 SelectedGrafana Cloud MCPMCP100 SelectedGoogle MCP Toolbox for DatabasesMCP100 SelectedExcel MCP ServerMCP100 Selected

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence field	penpotWatchlist candidate	Firecrawl MCPMCP100 Selected
Task fit
Best for	Open-source product-design inspection and controlled design edits.	Scraping and extracting public web pages Search, crawl, map, batch, and research workflows Teams already using Firecrawl API limits and governance
Not ideal for	Production use before the documented maturity gaps are resolved	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 when	The connected identity is broader than the task requires Tool calls cannot be reviewed before consequential mutations	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
Provenance
Provenance details	First-party MCP ecosystem:penpot · Publisher source ↗	First-party MCP Firecrawl · Publisher source ↗
Maintenance
Maintenance details	Repo: Mar 19, 2026 Package: Not documented	Repo: Aug 12, 2026 Package: Aug 12, 2026
Popularity evidence
GitHub stars	426 GitHub stars · checked 2026-08-14T18:46:26.000Z	7,234 GitHub stars · checked 2026-08-14T18:46:26.000Z
30-day package downloads	No reliable download data	412,488 30-day package downloads · checked 2026-08-14T18:46:26.000Z
External adoption evidence	github: repository stars: 426Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗	github: repository stars: 7,234Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗
Client coverage
Client coverage details	Claude Code✓ Streamable HTTP Claude Desktop✓ Streamable HTTP Codex✓ Streamable HTTP VS Code✓ Streamable HTTP Cursor✓ Streamable HTTP OpenCode✓ Streamable HTTP	Claude Code✓ Local stdio Claude Desktop✓ Local stdio Codex✓ Local stdio VS Code✓ Local stdio Cursor✓ Local stdio OpenCode✓ Local stdio
Client coverage note	Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
Authentication	The implementation follows Penpot account and plugin 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.
Cost	The MCP integration has no separately verified MCP100 price conclusion. Publisher subscriptions, API usage, compute, storage, and AI-client charges may apply.	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.
Permissions	Penpot project access and plugin/server configuration govern the design documents exposed.	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	Authorized service data and tool results pass through the MCP server to the connected AI client. Review the publisher and client data policies before using sensitive design & creative information.	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.
Limitations
Tradeoffs	The project is young, has no formal releases, and requires a multi-process plugin setup.	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.
Risk context	The project is young, has no formal releases, and requires a multi-process plugin setup. Use a test environment where practical, least-privilege credentials, narrowly enabled tools, and explicit confirmation for mutations. MCP100 did not execute third-party server code during this documentation review.	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.
Evidence date
Editorial review	2026-07-30	2026-07-24
Candidate evidence	2026-08-14T18:46:26.000Z	2026-08-14T18:46:26.000Z

Popularity, maintenance, fit, permissions, and client support are independent evidence fields.

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