Magic MCP vs Free Agent Tools

Magic MCP tools

No tool names declared yet. Check the project README from the listing page.

Free Agent Tools tools 22

• score_business_idea_moatScore a business idea on Margin, Operations, Advantage, and TAM (1-10 each). 30+ = FUND IT, 20-29 = FIX IT, under 20 = FLEE IT. Returns the weakest factor, how to fix it, and red flags from pain / money / willingness-to-suffer checks. Educational rule of thumb, not financial advice.
• roast_pitchPaste a startup pitch (one to five sentences). Five fictional judges (Seed VC, Skeptical Customer, CTO, Your Competitor, Growth Lead) score it 1-10 with a short roast line each, then it returns a verdict (FUND IT / SHARPEN IT / REWRITE IT / ROASTED / BURNT TO A CRISP), the one change worth the most points, detected issues and strengths, and a share URL with an OG image. Deterministic, transparent rubric (specific customer, pain, numbers, traction, wedge, distribution, buzzwords, 'X for Y', blockchain), not an AI opinion. For fun and practice, not investment advice.
• price_headroom_checkIs the business underpriced? Uses sales close rate (80%+ = way underpriced, ~30% = about right, under 25% = sales problem) to suggest a price range, and computes the profit multiple of a price rise after losing some customers, plus the break-even customer loss.
• thirty_day_cash_checkCompares cash collected in a new customer's first 30 days with acquisition cost plus 30-day cost to serve. 2x+ = SELF-FUNDING, 1-2x = BREAK-EVEN, under 1x = CASH-HUNGRY. Returns the gap to 2x and tips.
• email_list_reactivation_valueEstimates buyers and revenue from one offer to past customers in low / mid / high scenarios, with an optional partner revenue share.
• hotel_ota_commission_calculatorFor hotels, ryokan, guesthouses, and B&Bs: yearly room revenue, commission paid to OTAs (Booking.com, Expedia, Agoda...), commission as a share of revenue (HIGH / MED / LOW), and net savings from moving a share of OTA bookings to direct. Any currency.
• saas_self_host_savingsGive monthly spend per paid tool (ids: mixpanel, semrush, freshbooks, calendly, chargebee, typeform, pipedrive, gohighlevel, intercom). Returns the open-source swap for each (repo, license, caveat), yearly savings after hosting, setup hours and cost, break-even months, and a SWITCH / MAYBE / KEEP verdict.
• list_open_source_saas_alternativesLists every covered paid tool (Mixpanel, Semrush, FreshBooks, Calendly, Chargebee, Typeform, Pipedrive/HubSpot, GoHighLevel, Intercom/Zendesk) with its open-source swap, GitHub repo, license, setup effort, and main catch.
• ads_policy_notice_risk_checkPaste the text of a Google Ads, AdSense, Merchant Center, or Meta (Facebook/Instagram) ads suspension, disapproval, or policy notice. Returns HIGH / MED / LOW risk, the platform, the policy phrases found with plain-language explanations, and a next-step checklist. Heuristic only; never suggests replacement accounts or files appeals.
• app_store_wrapper_precheckFor Capacitor, WebView, PWA-shell, React Native, or AI-generated iOS apps: scores rejection risk under Guideline 4.2 (minimum functionality / web wrapper), 4.3 (spam / clone), and metadata, with reasons and how native each feature reads. Not legal advice; Apple decides.
• faceless_youtube_reality_checkSeven multiple-choice answers about a faceless or AI YouTube channel plan. Returns HIGH / MED / LOW expectation and monetization-policy risk with signals and myths to drop. Pushes back on viral '$10k/month with AI YouTube' claims. Not a ban prediction.
• ai_infrastructure_bottlenecksExplains the physical constraints on the AI buildout beyond chips: compute, memory (HBM), optics, power, space (sites, backhaul), and servers (racks, cooling). Omit slug for all six. Includes example public companies often cited in discussion; these are not investment picks.
• +10 more on the listing page