Not reviewed
No score, grade or rank. This listing is facts from the official MCP registry and our own checks, and it stays out of the rankings until the panel reviews it.
The scoring behind an audit allowed to say no. Twenty deterministic tools, offline, no account.
Facts
- MCP registry
studio.inite/ideaudit-tools· 1.1.0- Endpoint
https://api.inite.studio/mcp- Packages
npm@inite/ideaudit-tools stdio- Website
- inite.studio
- npm / week
- 35
- GitHub stars
- 0
- Registry entry
- updated 7 Sep 2026
From the official MCP registry, the package registries and our own checks. JSON · Markdown
Why it's listed
- It's published in the registry under inite.studio, a namespace the registry only gives to whoever proves they control that domain.
Being indexed says nothing about quality, and nobody can pay for it. Is this yours? Ask for a review.
Tools it lists 21 · about 4,112 tokens of context · checked 56 minutes ago
| Tool | What it does | Hint |
|---|---|---|
get_started | What this server is, what it will do for you right now without an account, and what an account adds. Call this first if you have no API key — it answers in one round trip instead of sending you to a website. | |
compute_barrier | Compute barrier_score (0-24) + label (PRISTINE/OPEN/COMPETITIVE/CROWDED) from competitor counts + SERP noise fraction. | |
compute_budget_proof | Compute budget_proof_score (0-10) + label (STRONG/CONFIRMED/WEAK/ABSENT) + purchase_intent_pct from pricing hits + review-site hits + intent mentions. | |
compute_build_complexity | Compute build_complexity_penalty (0-10, higher = worse) + per-factor breakdown. Hard tags: ml/realtime/blockchain/hardware/compliance/custom-ai/regulated/on-device-ai/iot. | |
compute_collection_scores | Compute 12 deterministic collection scores (0-100) + badges + death reason for an enriched idea. Pure math. No external calls. | |
compute_crossed_matrix | Crossed-product audit explorer. Same input as compute_dealbreakers_v2 — returns substrate verdict (no-observer baseline) + crossed verdict (when observer supplied) + a 5-row matrix of {solo, cofounded_technical,… | |
compute_dealbreakers_v2 | Methodology v2 dealbreakers — stage-aware weights + confidence-weighted lens scoring + risk-asymmetric verdict (GO requires score≥80 AND zero red flags AND avg confidence≥0.6). Optional `observer` triggers the… | |
compute_funding_momentum | Compute funding_momentum_score (0-10) + badge (HOT/WARM/COOL/COLD) from tier-weighted funding-article hit counts. | |
compute_hiring_demand | Compute hiring_demand_score (0-10) from priority-weighted ATS site hit counts (use registries/hiring-sources for priorities). | |
compute_lrs_composite_v2 | LRS composite v2 — 6 components (SV, Pain, Barrier, Monet, X-Signal, Budget-Proof). Default Python weights 0.18/0.22/0.18/0.14/0.18/0.10 sum=1.0. Returns BOTH weighted score and equal-weight baseline (per OECD Handbook… | |
compute_lrs_composite | Compose lrs_final_100 (0-100) + label (WEAK/EMERGING/GOOD/STRONG/ELITE) + leaderboard_eligible flag + sub-percent breakdown. Weights: sv 0.25, sp 0.30, barrier 0.25, monetization 0.20. | |
compute_monetization | Compute monetization_score (0-21) + label + has_pricing_anchors from pricing anchors + model tags + deal cycle hint. | |
compute_multi_source_tam | Multi-source TAM consensus. Pass 2-3 sources of market-size text. Optional `estimateYear` per source — when supplied, the result includes yearRange and a hasStaleData flag (true if the span exceeds 5 years). Outliers… | |
compute_ppc_spend_signal | Wave 5 N.4 — compute ppc_spend_score (0-10) + label (STRONG/CONFIRMED/WEAK/ABSENT) + market_saturation from PPC traffic projection (avgCpcUsd, totalMonthlySpendUsd, optional competitorBidders + competition). Feed… | |
compute_search_velocity_v2 | Search velocity (0-25) v2 — canonical 0.40*volume + 0.30*trend + 0.20*intent + 0.10*geo. CRITICAL: externalVolumeNorm MUST come from external sources (Amazon BSR / app store installs / job-board postings) — NOT the… | |
compute_search_velocity | Compute search_velocity_score (0-25) from Trends timeline values + rising queries count + geo region count. | |
compute_social_pain | Compute social_pain_score (0-30) + total mentions + dominant perspective (business/consumer/trend/mixed). | |
compute_urgency_composite | Compose composite_urgency_score (0-10) + badge (LOW/MEDIUM/HIGH/VERY_HIGH/EXTREME) from 3 sub-scores: news, pain, hiring. | |
compute_x_signal | Compute x_signal_score (0-20) + recency share + positivity rate from X/Twitter mention counts. | |
derive_kill_criteria | Derive a falsifiable, data-driven list of kill criteria from upstream signals — the outputs of validate_unit_economics and compute_dealbreakers_v2, plus an ICP drift count. Returns one row per rule with {rule,… | |
validate_unit_economics | Sanity-check a unit-economics row before publishing it in a business-model slide. Catches the math-drift class of failures (customers × ARPU ≠ revenue), enforces the LTV/CAC ≥ 1.5 floor, the cohort-positivity check, and… |
What https://api.inite.studio/mcp answered to tools/list, asked without credentials over MCP 2025-11-25. The token figure is the size of the list as sent, divided by four; a model sees about that much before it calls anything. Full definitions, input schemas included, are in the listing's JSON under mcpTools.
How its tools read to an agent 0 errors · 42 warnings · 1 note
- warnTC11compute_barriernone of its 3 parameters has a description
- warnTC11compute_budget_proofnone of its 4 parameters has a description
- warnTC11compute_build_complexitynone of its 3 parameters has a description
- warnTC11compute_collection_scores1 parameter without a description: analysisId
- warnTC11compute_crossed_matrixnone of its 7 parameters has a description
- warnTC11compute_dealbreakers_v2none of its 7 parameters has a description
- warnTC11compute_funding_momentumnone of its 2 parameters has a description
- warnTC11compute_hiring_demand4 parameters without a description: sites, sites[].domain, sites[].hits, sites[].priority
- warnTC11compute_lrs_compositenone of its 4 parameters has a description
- warnTC11compute_lrs_composite_v27 parameters without a description: barrierScore, budgetProofScore, buildComplexityPenalty, monetizationScore, searchVelocityScore, socialPainScore and 1 more
- warnTC11compute_monetization1 parameter without a description: pricingAnchorsCount
- warnTC11compute_multi_source_tam3 parameters without a description: inputs, inputs[].source, inputs[].text
- warnTC11compute_ppc_spend_signalnone of its 4 parameters has a description
- warnTC11compute_search_velocity2 parameters without a description: geoRegionCount, risingQueriesCount
- warnTC11compute_social_painnone of its 4 parameters has a description
- warnTC11compute_urgency_compositenone of its 3 parameters has a description
- warnTC11compute_x_signalnone of its 5 parameters has a description
- warnTC11derive_kill_criteria1 parameter without a description: icpDriftCount
- warnTC11validate_unit_economicsnone of its 7 parameters has a description
- warnTC13compute_collection_scoresenrichedData (object with no properties)
- warnTC13derive_kill_criteriadealbreakers (object with no properties), unitEcon (object with no properties)
- warnTC16compute_barrierno readOnlyHint or destructiveHint
- warnTC16compute_budget_proofno readOnlyHint or destructiveHint
- warnTC16compute_build_complexityno readOnlyHint or destructiveHint
The first 24 of 43; every finding is in the listing's JSON under mcpTools.check.
The checks from /check and anchor check, run each day on the list above: about 4,112 tokens of definitions. Not part of the score yet. Check your own server.