ideaudit MCP server

Connect ideaudit and your agent gets 21 tools, among them compute_barrier, compute_budget_proof, compute_build_complexity. It answers at https://api.inite.studio/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 12 September 2026; the last check, on 24 October 2026, succeeded.

Status

Answering

Tools

Official

yes, served from inite.studio

Reliability

6 of 6 checks

Response time

562 ms

Transport

streamable HTTP

Last checked

24 October 2026

The scoring behind an audit allowed to say no. Twenty deterministic tools, offline, no account.

Description as the publisher wrote it.

The 21 tools ideaudit offers

Tool	What it does
`compute_barrier`	Compute barrier_score (0-24) + label (PRISTINE/OPEN/COMPETITIVE/CROWDED) from competitor counts + SERP noise fraction. Inputs: directCompetitorCount, adjacentCompetitorCount, serpNoise
`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. Inputs: pricingHitsCount, reviewSiteHitsCount, purchaseIntentMentions, hasNamedPricing
`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. Inputs: externalApisCount, stackComplexityTags, integrationsCount
`compute_collection_scores`	Compute 12 deterministic collection scores (0-100) + badges + death reason for an enriched idea. Pure math. No external calls. Inputs: analysisId, enrichedData
`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_e Inputs: stage, sector, lensScores, stageProbabilities, unresolvedContradictions, hasMajorContradiction
`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: subs Inputs: stage, sector, lensScores, stageProbabilities, unresolvedContradictions, hasMajorContradiction
`compute_funding_momentum`	Compute funding_momentum_score (0-10) + badge (HOT/WARM/COOL/COLD) from tier-weighted funding-article hit counts. Inputs: hitsByTier, recent30dHits
`compute_hiring_demand`	Compute hiring_demand_score (0-10) from priority-weighted ATS site hit counts (use registries/hiring-sources for priorities). Inputs: sites
`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. Inputs: searchVelocityScore, socialPainScore, barrierScore, monetizationScore
`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- Inputs: searchVelocityScore, socialPainScore, barrierScore, monetizationScore, xSignalScore, budgetProofScore
`compute_monetization`	Compute monetization_score (0-21) + label + has_pricing_anchors from pricing anchors + model tags + deal cycle hint. Inputs: pricingAnchorsCount, modelTags, dealCycle
`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 Inputs: inputs
`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_ Inputs: avgCpcUsd, totalMonthlySpendUsd, competitorBidders, competition
`compute_search_velocity`	Compute search_velocity_score (0-25) from Trends timeline values + rising queries count + geo region count. Inputs: timelineValues, risingQueriesCount, geoRegionCount
`compute_search_velocity_v2`	Search velocity (0-25) v2 — canonical 0.40volume + 0.30trend + 0.20intent + 0.10geo. CRITICAL: externalVolumeNorm MUST come from external sources (Amazon BSR / app store installs / job-board postings) — NOT the Trends timeline (would do Inputs: trendsTimelineValues, externalVolumeNorm, intentNorm, geoSpreadNorm, daysSinceLastSignal
`compute_social_pain`	Compute social_pain_score (0-30) + total mentions + dominant perspective (business/consumer/trend/mixed). Inputs: painMentions, intentMentions, urgencyMentions, categoryCounts
`compute_urgency_composite`	Compose composite_urgency_score (0-10) + badge (LOW/MEDIUM/HIGH/VERY_HIGH/EXTREME) from 3 sub-scores: news, pain, hiring. Inputs: newsSignalScore, painSignalScore, hiringSignalScore
`compute_x_signal`	Compute x_signal_score (0-20) + recency share + positivity rate from X/Twitter mention counts. Inputs: mentionsCount, recent7dCount, sentimentPositive, sentimentNegative, founderMentions
`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?}, Inputs: unitEcon, dealbreakers, icpDriftCount
`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. Inputs: customers, arpu, annualRevenue, monthlyChurn, cac, ltv

Add ideaudit to your AI client

Every block below points at https://api.inite.studio/mcp. Pick your client and copy.

Claude Code: one command in your terminal

claude mcp add --transport http ideaudit https://api.inite.studio/mcp

Claude Desktop: claude_desktop_config.json

{
  "mcpServers": {
    "ideaudit": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://api.inite.studio/mcp"]
    }
  }
}

Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project

{
  "mcpServers": {
    "ideaudit": {
      "url": "https://api.inite.studio/mcp"
    }
  }
}

VS Code and GitHub Copilot: .vscode/mcp.json

{
  "servers": {
    "ideaudit": {
      "type": "http",
      "url": "https://api.inite.studio/mcp"
    }
  }
}

Zed: Zed settings.json

{
  "context_servers": {
    "ideaudit": {
      "url": "https://api.inite.studio/mcp"
    }
  }
}

Windsurf: ~/.codeium/mcp_config.json

{
  "mcpServers": {
    "ideaudit": {
      "serverUrl": "https://api.inite.studio/mcp"
    }
  }
}

JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON

{
  "mcpServers": {
    "ideaudit": {
      "url": "https://api.inite.studio/mcp"
    }
  }
}

Continue: .continue/mcpServers/neuronto.yaml

name: ideaudit
version: 0.0.1
schema: v1
mcpServers:
  - name: ideaudit
    type: streamable-http
    url: https://api.inite.studio/mcp

Gemini CLI: ~/.gemini/settings.json

{
  "mcpServers": {
    "ideaudit": {
      "httpUrl": "https://api.inite.studio/mcp"
    }
  }
}

Codex CLI: MCP server config

{
  "mcpServers": {
    "ideaudit": {
      "type": "http",
      "url": "https://api.inite.studio/mcp"
    }
  }
}

Warp: MCP servers, + Add, paste JSON

{
  "mcpServers": {
    "ideaudit": {
      "url": "https://api.inite.studio/mcp"
    }
  }
}

Goose: a one-click extension link

goose://extension?url=https%3A%2F%2Fapi.inite.studio%2Fmcp&type=streamable_http&id=ideaudit&name=ideaudit

Is ideaudit up right now?

It answered our last check on 24 October 2026 in 562 ms. Over 6 checks since 12 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.

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Questions about ideaudit

Is there an official ideaudit MCP server?

Yes. It is published by inite.studio and served from api.inite.studio, the vendor's own domain: https://api.inite.studio/mcp.

How many tools does ideaudit have?

21, as returned by the server's own tools/list on 23 September 2026: compute_barrier, compute_budget_proof, compute_build_complexity, compute_collection_scores, compute_crossed_matrix, compute_dealbreakers_v2, compute_funding_momentum, compute_hiring_demand, and 13 more.

Is ideaudit down?

It answered our last check on 24 October 2026 in 562 ms. Over 6 checks since 12 September 2026 it answered 6.

How do I add ideaudit to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.inite.studio/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does ideaudit need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: studio.inite. Endpoint host: api.inite.studio. ARD identifier: urn:air:studio.inite:mcp:ideaudit-tools. First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.