Field-by-field comparison

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MCPs in this comparison

Scrapfly MCPHugging Face MCP

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Comparable alternatives

Azure MCP ServerMCP100 RecommendedChrome DevTools MCPMCP100 RecommendedContext7 MCPMCP100 RecommendedGrafana Cloud MCPMCP100 RecommendedGoogle MCP Toolbox for DatabasesMCP100 RecommendedGoogle Search Console MCP Server for SEOsMCP100 Recommended

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence field	Scrapfly MCPShortlist candidate	Hugging Face MCPMCP100 Recommended
Task fit
Best for	Scrape and extract public web content through Scrapfly's hosted MCP service Scrapfly users who need to scrape and extract public web content through scrapfly's hosted mcp service.	Searching models, datasets, Spaces, papers, and Hugging Face documentation Exploring Hub metadata from an MCP-compatible assistant Running explicitly selected Hugging Face tools in controlled research workflows
Not ideal for	Web scraping can implicate site terms, privacy rules, credentials, and anti-bot controls. OAuth2 is preferred for production; API keys must be handled as secrets.	Highly regulated data or confidential prompts sent to unreviewed community Spaces Unattended Jobs, sandbox execution, or repository writes
Avoid when	Web scraping can implicate site terms, privacy rules, credentials, and anti-bot controls. OAuth2 is preferred for production; API keys must be handled as secrets.	Dynamic community Space discovery is enabled without tool-by-tool review The Hugging Face token grants more repository or compute access than needed Model, dataset, or Space content can directly trigger privileged tools
Provenance
Provenance details	First-party MCP Scrapfly · Publisher source ↗	First-party MCP Hugging Face · Publisher source ↗
Maintenance
Maintenance details	Repo: Not documented Package: Not documented	Repo: Sep 23, 2026 Package: Not documented
Popularity evidence
GitHub stars	14 GitHub stars · checked 2026-10-20	296 GitHub stars · checked 2026-09-24T04:14:16.295000Z
Package downloads / 30 days	511 package downloads / 30 days · checked 2026-10-20	No reliable download data
Client coverage
Client coverage details	Not documented	Claude Code✓ Streamable HTTP Claude Desktop✓ Streamable HTTP Codex✓ Streamable HTTP VS Code✓ Streamable HTTP Cursor✓ Streamable HTTP OpenCode✓ Streamable HTTP
Client coverage note	Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
Authentication	OAuth2, Authorization header/API key, or query-parameter API key. Scrapfly recommends OAuth2 for production and documents zero API-key exposure plus token rotation for OAuth2.	The hosted server supports the current documented Hugging Face OAuth or bearer-token paths. Tool advertisement or discovery configuration is not a server-side authorization boundary for a caller that already knows a tool name; actual authority remains bounded by the authenticated Hugging Face account and token permissions.
Cost	Scrapfly has a free allowance/credits and paid usage plans; scraping/proxy/browser operations consume normal Scrapfly credits according to the service plan.	Hub search and the open-source server have no separately documented MCP fee. Hugging Face Jobs, sandboxes, inference, storage, hardware-backed Spaces, and the AI client can incur normal account charges.
Permissions	The MCP grants web scraping/screenshot/account capabilities associated with the authenticated Scrapfly account. OAuth2 supports per-user authentication.	Base tools search and navigate Hugging Face Hub resources and documentation. Optional tools can create and write repositories, manage sandbox files, run or schedule Jobs, and invoke selected or dynamically discovered community Spaces, bounded by the authenticated Hugging Face token and configured tool set.
Data handling	Not documented in the reviewed sources. The reviewed Scrapfly MCP docs do not state a specific MCP retention/training policy for scraped content or prompts.	Queries and results pass through Hugging Face's hosted MCP service. Community Space calls send their arguments to the selected Space and return its outputs to the client. Jobs and sandboxes can process files and compute inputs on Hugging Face infrastructure.
Limitations
Tradeoffs	Shortlist evidence is sufficient for identity, setup and task value; authenticated runtime tool-schema measurement and exhaustive security certification remain out of scope.	The hosted endpoint makes Hub discovery easy, while optional community Gradio tools have independent publishers, behavior, and data handling. Built-in Jobs, sandboxes, and repository contribution tools add useful compute and write capabilities but materially increase cost and impact. Tool selection is configurable in Hugging Face MCP settings and should remain minimal.
Risk context	The MCP can retrieve content from arbitrary websites and use anti-bot/proxy capabilities. Usage can implicate site terms, privacy requirements, robots/access controls, copyrighted content, and account/API costs.	Begin with search-only tools and a least-privilege token. Disable dynamic Spaces, repository writes, Jobs, and sandboxes unless separately approved; review every community Space as third-party code and never send secrets or regulated data. This documentary review does not claim MCP100 execution testing.
Evidence date
Editorial review	2026-10-19	2026-07-24
Candidate evidence	2026-10-20	2026-09-24T04:25:05.554391Z

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

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