Search / studio.inite/ideaudit-tools
ideaudit
R0· no sign-inThe scoring behind an audit allowed to say no. Twenty deterministic tools, offline, no account.
v1.1.0 · active · repository · website · descriptor JSON · versions
Search / studio.inite/ideaudit-tools
R0· no sign-inThe scoring behind an audit allowed to say no. Twenty deterministic tools, offline, no account.
v1.1.0 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"ideaudit-tools": {
"type": "http",
"url": "https://api.inite.studio/mcp",
"headers": {
"Authorization": "Bearer ${IDEAUDIT_TOOLS_TOKEN}"
}
}
}
}claude mcp add --transport http ideaudit-tools https://api.inite.studio/mcp --header "Authorization: Bearer ${IDEAUDIT_TOOLS_TOKEN}"[mcp_servers.ideaudit-tools]
url = "https://api.inite.studio/mcp"
bearer_token_env_var = "IDEAUDIT_TOOLS_TOKEN"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"ideaudit-tools": {
"type": "remote",
"url": "https://api.inite.studio/mcp",
"enabled": true,
"headers": {
"Authorization": "Bearer {env:IDEAUDIT_TOOLS_TOKEN}"
}
}
}
}{
"mcpServers": {
"ideaudit-tools": {
"type": "http",
"url": "https://api.inite.studio/mcp",
"headers": {
"Authorization": "Bearer ${IDEAUDIT_TOOLS_TOKEN}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=ideaudit-tools&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYXBpLmluaXRlLnN0dWRpby9tY3AiLCJoZWFkZXJzIjp7IkF1dGhvcml6YXRpb24iOiJCZWFyZXIgJHtJREVBVURJVF9UT09MU19UT0tFTn0ifX0%3D"
}{
"servers": {
"ideaudit-tools": {
"type": "http",
"url": "https://api.inite.studio/mcp",
"headers": {
"Authorization": "Bearer ${IDEAUDIT_TOOLS_TOKEN}"
}
}
}
}{
"mcpServers": {
"ideaudit-tools": {
"httpUrl": "https://api.inite.studio/mcp",
"headers": {
"Authorization": "Bearer ${IDEAUDIT_TOOLS_TOKEN}"
}
}
}
}extensions:
"ideaudit-tools":
enabled: true
name: "ideaudit-tools"
type: streamable_http
uri: "https://api.inite.studio/mcp"
headers:
"Authorization": "Bearer ${IDEAUDIT_TOOLS_TOKEN}"
timeout: 300
Placeholders to fill from your own secret store: ${IDEAUDIT_TOOLS_TOKEN}. The registry never accepts secret values.
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28protocol.statelessonly applies to 2026-07-28 serversprotocol.transportstreamable HTTPprotocol.list_ttlonly applies to 2026-07-28 serversauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky onestools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: compute_dealbreakers_v2 (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); compute_funding_momentum (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); compute_lrs_composite (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …tools.token_costabout 3,895 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulnsno known advisory in 98 resolved packagesdeps.mcp_sdk_version@modelcontextprotocol/sdk 1.30.1 has 1 known advisory (GHSA-6qxp-vccf-f47h); update @modelcontextprotocol/sdk to 1.31.0 or laterdeps.resolvable@inite/[email protected] resolved: 98 packagesNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +dns-namespace +website +reachable +uptime-97% ~updated-43d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
@inite/[email protected] npm97 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 1.30.1 · advisories checked 2026-10-19
| advisory | severity | package | fixed in |
|---|---|---|---|
| GHSA-6qxp-vccf-f47hMCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP server | high | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.31.0 |
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://api.inite.studio/mcp streamable-http | none | yes | 97% | 490 ms | 2025-11-25 | 2026-10-20 |
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
@inite/ideaudit-tools | npm | 1.0.0 | – |
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, cofounded_business, domain_expert, serial} archetype verdicts. Never persists; meant for the dashboard "view as [archetype]" dropdown and for previewing a verdict before committing to it. |
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 crossed-product pipeline: substrate verdict (no-observer baseline) PLUS crossed verdict (observer-perturbed weights, risk-tolerance shifted thresholds) PLUS 5-row archetype matrix. The KILL gate (≥2 blockers / score<50) is observer-invariant — fatal stays fatal. |
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 | 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_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 + Greco 2018 — equal-weight is defensible default when no outcome calibration exists). buildComplexityPenalty 0-10 subtracted from score. sectorProfile (ai_native/creator/crypto) opt-in reshuffles SV→0.16, X→0.20. Labels: THE_ROAR (≥80) / PROMISING (≥60) / EXPERIMENTAL (≥40) / WEAK_SIGNAL (<40). |
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 are dropped by modified Z-score over the median absolute deviation when n≥4. Returns the extracted dollar amounts + consensus median + an agreement score 0..1, where 1 means every source lands within 20% of the median. |
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 numbers from dataforseo_ad_traffic. |
compute_search_velocity | Compute search_velocity_score (0-25) from Trends timeline values + rising queries count + geo region count. |
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 Trends timeline (would double-count, since Trends is itself normalized 0-100 within window). trendNorm is derived internally from trendsTimelineValues. Trends peak<50 zeroes the trend component (Yotpo SEO floor). Optional daysSinceLastSignal applies exponential freshness decay (search half-life 90d). |
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, threshold, status, evidence?}, where status is tripped_now / monitor / cleared. Replaces prose kill criteria, which are tautologies that can never fire. |
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. |
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 CAC payback bounds. Returns {ok, errors[{rule, severity, detail}], derived{ratios}}. Skills MUST regenerate the row when ok=false (block-severity errors); warn-severity errors should be surfaced in the final report but do not gate publication. No LLM calls. |
Schemas: list_tools.
{
"name": "studio.inite/ideaudit-tools",
"title": "ideaudit",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://api.inite.studio/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"isSecret": true,
"description": "Bearer token from https://inite.studio/settings/keys. Optional: with no Authorization header the same endpoint answers on a guest lane — the twenty deterministic scoring tools, including the verdict, plus `get_started`. Send a token and the tools that need storage or paid data appear alongside them."
}
]
}
],
"version": "1.1.0",
"packages": [
{
"version": "1.0.0",
"transport": {
"type": "stdio"
},
"identifier": "@inite/ideaudit-tools",
"registryType": "npm"
}
],
"repository": {
"url": "https://github.com/inite-ai/ideaudit-mcp",
"source": "github"
},
"websiteUrl": "https://inite.studio",
"description": "The scoring behind an audit allowed to say no. Twenty deterministic tools, offline, no account."
}