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com.modevc/radar
serveur MCP (Model Context Protocol) · com.modevc/radar 2.0.2
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
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Au dernier audit MCP Hub, le serveur MCP « com.modevc/radar » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 7 outils
- calc_83b_qsbs_delaware≈ 737 tokens
Computes the 83(b) filing deadline and tax on the grant, the federal tax saved by a QSBS (Section 1202) exclusion at a given sale price, and Delaware franchise tax under both methods. Federal tax only, top federal rates assumed, no state tax or AMT. Same math as https://modevc.com/tools/83b-qsbs-calculator. Illustrative model, not tax advice.
Paramètres, retour & exemple (13)
Paramètresas_of_date· string · optionnel
Date used for the days-to-deadline count. Defaults to today (UTC).grant_date· string · optionnel
Date the shares were transferred, YYYY-MM-DD. Defaults to today.hold_years· number · optionnel
Years the stock is held at sale. Web default 5.issue_date· string · optionnel
QSBS stock issue date, YYYY-MM-DD. Defaults to the grant date. Stock issued after 2025-07-04 gets the 50/75/100 percent steps at 3/4/5 years.de_par_value· number · optionnel
Par value per share in USD. Web default 0.0001.fmv_per_share· number · optionnel
Fair market value per share at grant in USD. Web default 0.0001.shares_granted· number · optionnel
Web default 4,000,000.de_gross_assets· number · optionnel
Gross assets in USD for the assumed par value capital method. Web default 750,000.de_issued_shares· number · optionnel
Delaware issued shares. Web default 8,000,000.exit_stake_value· number · optionnel
Sale value of your stake in USD for the QSBS comparison. Web default 15,000,000.de_authorized_shares· number · optionnel
Delaware authorized shares. Web default 10,000,000.future_fmv_per_share· number · optionnel
Assumed later fair market value per share, used for the tax a missed 83(b) would cost. Web default 2.50.price_paid_per_share· number · optionnel
Price paid per share in USD. Web default 0.0001.
Exemple d'appel{"name": "calc_83b_qsbs_delaware", "arguments": {"as_of_date": "texte", "grant_date": "texte", "hold_years": 1, "issue_date": "texte", "de_par_value": 1, "fmv_per_share": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - calc_burn_multiple_runway≈ 490 tokens
Projects cash month by month from current cash, revenue growth and expense growth: net burn, runway, the month cash hits zero, break-even month, default alive or dead, burn multiple, and the same with an expense cut. Same math as https://modevc.com/tools/burn-multiple-runway. Month 1 is the current month; the search runs 120 months.
Paramètres, retour & exemple (9)
Paramètrescash· number · optionnel
Cash in the bank in USD. Web default 2,400,000.as_of_date· string · optionnel
Date that month 1 falls in, YYYY-MM-DD. Defaults to today. Only used for calendar month labels.expense_cut_pct· number · optionnel
Expense cut scenario in percent. Web default 15.monthly_revenue· number · optionnel
Current monthly revenue (MRR) in USD. Web default 60,000.monthly_expenses· number · optionnel
Current monthly expenses in USD. Web default 210,000.expense_growth_pct· number · optionnel
Monthly expense growth in percent. Web default 2.revenue_growth_pct· number · optionnel
Monthly revenue growth in percent. Web default 8.net_new_arr_override· number · optionnel
Net new ARR over the quarter in USD. Omit to compute it from revenue growth, as the web calculator does.quarterly_net_burn_override· number · optionnel
Net burn over the quarter in USD. Omit to use 3 times this month's net burn.
Exemple d'appel{"name": "calc_burn_multiple_runway", "arguments": {"cash": 1, "as_of_date": "texte", "expense_cut_pct": 1, "monthly_revenue": 1, "monthly_expenses": 1, "expense_growth_pct": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - calc_cofounder_equity≈ 713 tokens
Splits founder equity from weighted contribution scores (product and IP 40%, distribution 35%, commitment 25%) after the option pool and Founder Institute FAST advisor grants, and applies a heuristic SaaS and AI-native ARR multiple. Same math as https://modevc.com/tools/cofounder-equity-valuation. The multiple is a rule of thumb from the web page, not a market valuation. Illustrative, not legal advice.
Paramètres, retour & exemple (9)
Paramètresarr· number · optionnel
ARR in USD. Web default 1,200,000.ndr_pct· number · optionnel
Net dollar retention in percent. Web default 122.fast_tier· string · optionnel · standard | strategic | expert
Advisor tier. Web default strategic.cofounders· array · optionnel
Each founder scored 0 to 100 on three axes. Omit to use the web calculator example of two founders.fast_stage· string · optionnel · idea | startup | growth
Company stage for the FAST grant. Web default startup.growth_pct· number · optionnel
Year over year growth in percent. Web default 140.num_advisors· number · optionnel
Number of FAST advisors. Web default 2.option_pool_pct· number · optionnel
Employee option pool reserve, in percent. Web default 10.gross_margin_pct· number · optionnel
Gross margin in percent. Web default 76.
Exemple d'appel{"name": "calc_cofounder_equity", "arguments": {"arr": 1, "ndr_pct": 1, "fast_tier": "standard", "cofounders": [], "fast_stage": "idea", "growth_pct": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - calc_fundraising_readiness≈ 468 tokens
Scores diligence readiness from a weighted 12-item data room checklist (overall, Corporate and Legal, and each pillar), and computes runway and burn multiple from cash, burn and ARR growth. Same scoring as https://modevc.com/tools/fundraising-readiness. The investor-update email draft on that page is not included.
Paramètres, retour & exemple (6)
Paramètresarr· number · optionnel
ARR in USD. Web default 780,000.cash· number · optionnel
Cash in the bank in USD. Web default 1,450,000.raise_target· number · optionnel
Raise target in USD (echoed, not used in the score). Web default 3,500,000.mom_growth_pct· number · optionnel
Month over month ARR growth in percent. Web default 18.documents_ready· array · optionnel
Checklist items that are ready. Omit to use the web calculator example (all except valuation_409a, retention_cohorts, architecture_and_security). Pass [] for none.monthly_net_burn· number · optionnel
Monthly net burn in USD. Web default 65,000.
Exemple d'appel{"name": "calc_fundraising_readiness", "arguments": {"arr": 1, "cash": 1, "raise_target": 1, "mom_growth_pct": 1, "documents_ready": [], "monthly_net_burn": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - calc_llm_inference_cost≈ 526 tokens
Estimates monthly LLM spend, cost per user and per request, prompt-cache savings and gross margin for a usage profile on one of 8 models, compares all 8 models, and prices an 80/20 hybrid of DeepSeek and Claude 3.7 Sonnet. Same math and the same fixed price table as https://modevc.com/tools/llm-inference-calculator. The prices are that page's illustrative table, not a live price feed.
Paramètres, retour & exemple (7)
Paramètresmodel· string · optionnel · claude-3-7-sonnet | gpt-4o | gemini-2-5-pro | deepseek-v4 | claude-3-5-haiku | gpt-4o-mini | gemini-2-5-flash | groq-lpu-qwen
Primary model. Web default claude-3-7-sonnet.cache_hit_pct· number · optionnel
Share of input tokens served from the prompt cache, in percent. Web default 40.requests_per_user· number · optionnel
Requests per user per month. Web default 40.price_per_user_usd· number · optionnel
Monthly revenue per user in USD. Web default 20.monthly_active_users· number · optionnel
Web default 5,000.input_tokens_per_request· number · optionnel
Web default 1,200.output_tokens_per_request· number · optionnel
Web default 400.
Exemple d'appel{"name": "calc_llm_inference_cost", "arguments": {"model": "claude-3-7-sonnet", "cache_hit_pct": 1, "requests_per_user": 1, "price_per_user_usd": 1, "monthly_active_users": 1, "input_tokens_per_request": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - calc_saas_metrics≈ 592 tokens
Computes Rule of 40, net and gross revenue retention, SaaS magic number, CAC payback and spend per new customer from the numbers you give, with the public benchmark each is judged against. Leave a group of inputs out to get n/a for the metrics that need it. Same math as https://modevc.com/tools/saas-metrics-calculator.
Paramètres, retour & exemple (14)
Paramètresarr_now· number · optionnel
ARR now in USD.new_mrr· number · optionnel
New MRR added in USD. For CAC payback.margin_pct· number · optionnel
Profit margin in percent for the Rule of 40. Can be negative.margin_kind· string · optionnel · FCF margin | EBITDA margin | operating margin
Which margin margin_pct is. Web default FCF margin.cohort_churn· number · optionnel
Churned ARR from that group in USD.new_customers· number · optionnel
New customers won. For spend per new customer.cohort_expansion· number · optionnel
Expansion ARR from that group in USD.cohort_start_arr· number · optionnel
Starting ARR of one customer group 12 months ago, in USD. Needed for NRR and GRR.gross_margin_pct· number · optionnel
Gross margin in percent. For CAC payback.arr_12_months_ago· number · optionnel
ARR 12 months ago in USD. Needed for growth and Rule of 40.cohort_contraction· number · optionnel
Contraction (downgrades) ARR from that group in USD.revenue_last_quarter· number · optionnel
Revenue in the last quarter in USD. For the magic number.revenue_prior_quarter· number · optionnel
Revenue in the prior quarter in USD.sales_marketing_spend· number · optionnel
Sales and marketing spend in USD. Prior quarter for the magic number; the same figure drives CAC payback and spend per customer, as on the web calculator.
Exemple d'appel{"name": "calc_saas_metrics", "arguments": {"arr_now": 1, "new_mrr": 1, "margin_pct": 1, "margin_kind": "FCF margin", "cohort_churn": 1, "new_customers": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - calc_safe_dilution≈ 675 tokens
Models how stacked SAFEs convert at a priced round and what the founders keep, including the option pool top-up (pool in the pre-money or post-money). Same math as https://modevc.com/tools/safe-calculator. Illustrative model, not legal or tax advice.
Paramètres, retour & exemple (8)
Paramètressafes· array · optionnel
The SAFEs to convert. Omit to use the web calculator example of two SAFEs.pool_mode· string · optionnel · pre_money | post_money
pre_money: the pool top-up dilutes founders and SAFEs only. post_money: everyone is diluted. Web default pre_money.initial_shares· number · optionnel
Fully diluted shares before the SAFEs convert. Web default 10,000,000.target_pool_pct· number · optionnel
Option pool size after the round, in percent. Web default 10.priced_pre_money· number · optionnel
Priced round pre-money valuation in USD. Web default 16,000,000.existing_pool_pct· number · optionnel
Option pool already inside the initial shares, in percent. Web default 5.founder_split_pct· number · optionnel
Your share of the founder block, in percent. Web default 50.priced_investment· number · optionnel
New money in the priced round in USD. Web default 4,000,000.
Exemple d'appel{"name": "calc_safe_dilution", "arguments": {"safes": [], "pool_mode": "pre_money", "initial_shares": 1, "target_pool_pct": 1, "priced_pre_money": 1, "existing_pool_pct": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - calc_term_sheet_waterfall≈ 558 tokens
Splits the sale proceeds between one preferred class and common holders for a liquidation multiple and participation clause (non-participating, participating uncapped, participating capped at 3x). Returns the conversion point, a sensitivity table and the three standard structures side by side. Same math as https://modevc.com/tools/term-sheet-waterfall. Illustrative model: one preferred class, no seniority stack, no debt or fees.
Paramètres, retour & exemple (7)
Paramètresparticipation· string · optionnel · non_participating | participating_uncapped | participating_capped_3x
Participation clause. Web default non_participating.exit_valuation· number · optionnel
Sale price in USD. Web default 45,000,000.preferred_invested· number · optionnel
Total invested by the preferred class in USD. Web default 12,000,000.liquidation_multiple· number · optionnel · 1 | 1.5 | 2 | 3
Liquidation preference multiple. Web default 1.pro_rata_current_pct· number · optionnel
Your current ownership for the pro-rata check, in percent. Web default 10.preferred_ownership_pct· number · optionnel
As-converted ownership of the preferred class, in percent (1 to 95). Web default 30.pro_rata_next_round_size· number · optionnel
Next round size in USD for the pro-rata check. Web default 15,000,000.
Exemple d'appel{"name": "calc_term_sheet_waterfall", "arguments": {"participation": "non_participating", "exit_valuation": 1, "preferred_invested": 1, "liquidation_multiple": 1, "pro_rata_current_pct": 1, "preferred_ownership_pct": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_chart_data≈ 192 tokens
Returns one chart from the Chart of the Day archive: the data table behind it (rows as published), claim, takeaway, note and the sources it cites. Look up by slug or title. Data is as published on the chart page; follow source_urls for the original data.
Paramètres, retour & exemple (1)
Paramètresslug· string · requis
Chart slug or title, e.g. "pre-seed-valuation-dispersion", "ai-inference-cost-comparison"
Exemple d'appel{"name": "get_chart_data", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_distribution_moat_score≈ 357 tokens
Rule-based 1 to 5 score of distribution defensibility, using only the acquisition channels you list and whether you have proprietary data or network effects. business_model is echoed back and does not change the score. It is a discussion aid built from Mode VC's published thesis, not a valuation, not an investment decision and not a prediction.
Paramètres, retour & exemple (4)
Paramètresproduct_name· string · requis
Name of the startup or productbusiness_model· string · requis · B2B_SaaS | Consumer_AI | Developer_Tools | Marketplace | Fintech | Hardware_DeepTech
Primary business model (echoed, not scored)acquisition_channels· array · requis
Key distribution channels. Channels containing hardware_bundle, network_lockin, viral_loop, system_default or native_integration raise the score.has_proprietary_data_or_network· boolean · optionnel
Does user activity generate compounding data or network lock-in?
Exemple d'appel{"name": "get_distribution_moat_score", "arguments": {"product_name": "texte", "business_model": "B2B_SaaS", "acquisition_channels": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_firm_filings≈ 247 tokens
For a firm in the Mode VC Investor Atlas, returns Form ADV adviser records matched to it, recent Form D filings that name its partners, and a recent-activity roll-up. Every match carries a tier: "confirmed" matches are the only verified links; "probable" and "possible" are weaker signals and are hidden unless include_weak_matches is true. Returns "dataset not available yet" until Mode VC has loaded the data.
Paramètres, retour & exemple (2)
Paramètresfirm· string · requis
Atlas firm slug or name, e.g. "alumni-ventures".include_weak_matches· boolean · optionnel
Also return probable and possible matches. Default false.
Exemple d'appel{"name": "get_firm_filings", "arguments": {"firm": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_investor_details≈ 228 tokens
Returns one firm from the Investor Atlas: headquarters and locations, website and social links, latest fund as listed, reported entry stages, check size bands (lowest and highest the firm reports) and lead preference where known, sectors, and up to 12 partner names (the total partner count is also given). It does not include portfolio companies or investment theses.
Paramètres, retour & exemple (1)
Paramètresslug_or_name· string · requis
Firm slug or name, e.g. "andreessen-horowitz", "sequoia-capital", "accel", "406-ventures"
Exemple d'appel{"name": "get_investor_details", "arguments": {"slug_or_name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_mode_vc_thesis_and_criteria≈ 130 tokens
Returns Mode VC's published investment parameters as stated on https://modevc.com/thesis: ticket size, geography focus, stage, core conviction and how to pitch.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_mode_vc_thesis_and_criteria", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_new_raises≈ 354 tokens
Lists recent SEC Form D filings (private offerings notices, public EDGAR data) from venture funds and technology companies over the last few filing days, with issuer, amount sold, related persons and the EDGAR link for each filing. A Form D is a notice a company or fund files after it starts selling securities. It is not a funding announcement and the amounts are as self-reported. Returns "dataset not available yet" until Mode VC has loaded the data.
Paramètres, retour & exemple (5)
Paramètreslimit· integer · optionnel
Maximum filings to return. Default 25.query· string · optionnel
Case-insensitive text to find in the issuer name or a related person name.state· string · optionnel
Two-letter issuer state, e.g. "CA".industry_group· string · optionnel
Industry group as filed, e.g. "Pooled Investment Fund", "Other Technology", "Computers".min_amount_sold· number · optionnel
Only filings with at least this total amount sold, in USD.
Exemple d'appel{"name": "get_new_raises", "arguments": {"limit": 1, "query": "texte", "state": "texte", "industry_group": "texte", "min_amount_sold": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_venture_chart_of_the_day≈ 178 tokens
Returns the most recent charts from Mode VC's Chart of the Day archive (one new chart per day, mostly AI model, adoption, developer-package and pricing data), newest first, each with its claim, takeaway, URL and cited sources.
Paramètres, retour & exemple (1)
Paramètreslimit· integer · optionnel
Number of recent charts. Default 3.
Exemple d'appel{"name": "get_venture_chart_of_the_day", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_charts≈ 208 tokens
Searches every chart in the Mode VC Chart of the Day archive by keyword over title, claim, takeaway and keywords. Returns claims, takeaways, canonical URLs, markdown endpoints and cited sources. The archive grows by one chart a day; the response states its current size.
Paramètres, retour & exemple (2)
Paramètreslimit· integer · optionnel
Maximum charts to return. Default 10.query· string · optionnel
Search term, e.g. "pricing", "claude", "inference", "sdk"
Exemple d'appel{"name": "search_charts", "arguments": {"limit": 1, "query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_investors≈ 359 tokens
Searches the Mode VC Investor Atlas, a directory of venture capital firms and their partners compiled from public information (counts are in the response). Filter by firm or partner name, sector, entry stage, and headquarters or location. Stage and check size are as reported by each firm where available; it does not hold portfolio companies or fund performance.
Paramètres, retour & exemple (5)
Paramètreslimit· integer · optionnel
Maximum firms to return. Default 10.query· string · optionnel
Firm or partner name, e.g. "a16z", "Benchmark", "Marc Andreessen", "Khosla"stage· string · optionnel · pre-seed | seed | series-a | series-b
Entry stage the firm reports investing atsector· string · optionnel
Sector slug, e.g. "ai-and-data", "dev-tools-and-infra", "enterprise-software", "fintech", "crypto", "healthtech", "climate", "consumer"location· string · optionnel
Geographic hub, e.g. "california", "new-york", "massachusetts", "toronto", "united-states"
Exemple d'appel{"name": "search_investors", "arguments": {"limit": 1, "query": "texte", "stage": "pre-seed", "sector": "texte", "location": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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