--- title: "firecrawl vs stealth-browser-mcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/firecrawl-firecrawl-vs-vibheksoni-stealth-browser-mcp" tools: ["firecrawl-firecrawl", "vibheksoni-stealth-browser-mcp"] --- # firecrawl vs stealth-browser-mcp *GraphCanon updated Jul 11, 2026* ## Verdict Pick firecrawl when firecrawl is primarily TypeScript; stealth-browser-mcp is Python; pick stealth-browser-mcp when stealth-browser-mcp is primarily Python; firecrawl is TypeScript. [firecrawl](https://firecrawl.dev) reports 149k GitHub stars, 8.5k forks, and 395 open issues, last pushed Jul 11, 2026. [stealth-browser-mcp](https://github.com/vibheksoni/stealth-browser-mcp) has 1.5k stars, 227 forks, and 1 open issues, last pushed May 24, 2026. Figures are from public GitHub metadata via [firecrawl's repository](https://github.com/firecrawl/firecrawl) and [stealth-browser-mcp's repository](https://github.com/vibheksoni/stealth-browser-mcp). | | [firecrawl](/tools/firecrawl-firecrawl.md) | [stealth-browser-mcp](/tools/vibheksoni-stealth-browser-mcp.md) | | --- | --- | --- | | Tagline | The API to search, scrape, and interact with the web at scale. 🔥 | The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat. | | Stars | 149,109 | 1,501 | | Forks | 8,524 | 227 | | Open issues | 395 | 1 | | Language | TypeScript | Python | | Adopt for | FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents. | - | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 license requires that any changes to FireCrawl's source code also be made available as free software when the adapted version is used. | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [firecrawl](/tools/firecrawl-firecrawl.md) | [stealth-browser-mcp](/tools/vibheksoni-stealth-browser-mcp.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 47d | | Open issues (now) | 395 | 1 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/firecrawl-firecrawl/trust.md) | [trust report](/tools/vibheksoni-stealth-browser-mcp/trust.md) | ## Decision facts: firecrawl - **Hosting:** self hosted - FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data. - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents. - **License detail:** AGPL-3.0 license requires that any changes to FireCrawl's source code also be made available as free software when the adapted version is used. ## Choose when ### Choose firecrawl if… - firecrawl is primarily TypeScript; stealth-browser-mcp is Python. - License: firecrawl is AGPL-3.0, stealth-browser-mcp is MIT. - FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to firecrawl: ai-agents, crawler, scraping, search. - When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities. ### Choose stealth-browser-mcp if… - stealth-browser-mcp is primarily Python; firecrawl is TypeScript. - License: stealth-browser-mcp is MIT, firecrawl is AGPL-3.0. - Tags unique to stealth-browser-mcp: ai-agent-tools, ai-tools, anthropic, anti-bot-bypass. - Also covers Developer Tools. ## When NOT to use firecrawl - For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis. - If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works. ## When NOT to use stealth-browser-mcp - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between firecrawl and stealth-browser-mcp? firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. stealth-browser-mcp: The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.. See the comparison table for live GitHub stats and shared categories. ### When should I choose firecrawl over stealth-browser-mcp? Choose firecrawl over stealth-browser-mcp when firecrawl is primarily TypeScript; stealth-browser-mcp is Python; License: firecrawl is AGPL-3.0, stealth-browser-mcp is MIT; FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to firecrawl: ai-agents, crawler, scraping, search; When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities. ### When should I choose stealth-browser-mcp over firecrawl? Choose stealth-browser-mcp over firecrawl when stealth-browser-mcp is primarily Python; firecrawl is TypeScript; License: stealth-browser-mcp is MIT, firecrawl is AGPL-3.0; Tags unique to stealth-browser-mcp: ai-agent-tools, ai-tools, anthropic, anti-bot-bypass; Also covers Developer Tools. ### When should I avoid firecrawl? For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis. If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works. ### When should I avoid stealth-browser-mcp? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is firecrawl or stealth-browser-mcp more popular on GitHub? firecrawl has more GitHub stars (149,109 vs 1,501). Stars measure visibility, not whether either tool fits your constraints. ### Are firecrawl and stealth-browser-mcp open source? Yes - both are open-source projects on GitHub (firecrawl: AGPL-3.0, stealth-browser-mcp: MIT). ### Where can I find alternatives to firecrawl or stealth-browser-mcp? GraphCanon lists graph-backed alternatives at [firecrawl alternatives](/tools/firecrawl-firecrawl/alternatives) and [stealth-browser-mcp alternatives](/tools/vibheksoni-stealth-browser-mcp/alternatives) ([firecrawl markdown twin](/tools/firecrawl-firecrawl/alternatives.md), [stealth-browser-mcp markdown twin](/tools/vibheksoni-stealth-browser-mcp/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/firecrawl-firecrawl-vs-vibheksoni-stealth-browser-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, firecrawl or stealth-browser-mcp? firecrawl: Very active. stealth-browser-mcp: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for firecrawl and stealth-browser-mcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [firecrawl trust report](/tools/firecrawl-firecrawl/trust); [stealth-browser-mcp trust report](/tools/vibheksoni-stealth-browser-mcp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=firecrawl-firecrawl`](/api/graphcanon/graph?tool=firecrawl-firecrawl) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_