Own WebMCP.

What you'd own.

Every artifact below transfers to your accounts on day one. The whole engine.

• ●GitHub repository with open-source protocol specification and MIT license
• ●Landing page and positioning around open-protocol TAM narrative
• ●Three-tier pricing model and Stripe integration specifications
• ●Customer acquisition playbook via GitHub drops, HackerNews, Product Hunt
• ●Market research: 95k developers, $400/yr tooling budget, competitive landscape analysis
• ●Founder technical notes and architecture recommendations
• ●Preliminary legal compliance framework for scraping decisions

What Roll Digital builds for you.

Custom scope to take WebMCP from MVP shell to operating business.

• ▸Production FastAPI backend with Postgres and multi-tenant isolation
• ▸Stripe billing automation across free, starter, and team tiers
• ▸Email and Google OAuth authentication with team management UI
• ▸Web scraping engine with robots.txt checking and legal pre-validation
• ▸Customer dashboard for API usage tracking and integration documentation
• ▸LangChain and LlamaIndex native integration for framework adoption
• ▸Legal review automation to flag high-risk scraping requests pre-execution
• ▸30-day post-launch customer onboarding and success support program

Why this could work.

The TAM is real and expanding: 95k AI agent developers need reliable web data access, and no framework has solved the legal, reliability, or integration layers yet. Open-source positioning can capture mindshare fast without VC burn. The $99/mo team tier lands easily for teams automating multi-agent workflows. First-mover defensibility on legal compliance could sustain the moat against commoditization long enough to establish network effects before native web browsing collapses the category.

What you'd risk.

Competitive position is structurally weak. Firecrawl, Jina Reader, and Browserless command mindshare with VC backing and deep LangChain/LlamaIndex integrations. The open-protocol strategy backfires: if adopted, competitors host free; if rejected, the product has no TAM. Web scraping carries genuine legal risk that can force shutdown pre-breakeven. Within 18 months, native web browsing in LangChain and OpenAI APIs could eliminate the middleware entirely.

Who this fits.

Solo technical founder or small team with existing relationships in the AI developer ecosystem (prior LangChain plugin, open-source project, or agent framework experience). Requires deep comfort navigating legal and compliance complexity around web scraping. Ideal candidate has shipped free-to-paid SaaS before and understands how to win in competitive markets through positioning, not product features. Not suitable for first-time founders.

Timeline.

From contract signing to operating business.

1. Day 1
   Founder handoff: GitHub code, financial model, GTM playbook, customer leads
2. Week 1
   Stripe integration, user authentication system, FastAPI production deployment live
3. Week 3
   LangChain native integration complete, GitHub/HackerNews launch, free tier onboarding
4. Week 6
   $99/mo team tier launched, automated usage-based billing, first paying customers
5. Day 90
   Legal pre-check system live, 10-15 paying teams acquired, $1-2k MRR

Pricing.

Three ways in, depending on how much you want to build yourself.