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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

ideaudit

作者:inite-ai版本 1.1.0i★ 0i电脑或云端
注册名称studio.inite/ideaudit-tools

安装方法

What it does

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

  • Connects 电脑或云端
  • Account or key Cloud: Works without a key · add Authorization if you have one (often raises limits) · Local: No key needed
  • Category 其他

安装

选择你使用的 AI 应用,然后复制设置。

通过 4/5 项检查 · 你的提问会经过开发者的服务器(api.inite.studio) · ✓ 命令已检查 2026年11月13日

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 2 分钟

不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加

  1. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  2. 点击“Add” → “Custom” → “Web”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称ideaudit
    Remote MCP server URL · 地址https://api.inite.studio/mcp

    在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add

  3. 在聊天中开启

    +Connectorsideaudit

  4. 试一试

    用 ideaudit 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 ideaudit,或回答中出现 ideaudit 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

能否连接 ChatGPT 取决于方案

完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页

  1. 在网页版 ChatGPT 打开添加 MCP 的页面

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. 填写名称和地址

    输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin

    Name · 名称ideaudit
    Connection · 地址https://api.inite.studio/mcp
  3. 在聊天中选择 ideaudit

    开启新聊天,输入前先从插件列表中选择 ideaudit

  4. 试一试

    用 ideaudit 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 ChatGPT 说正在使用 ideaudit,或回答中出现 ideaudit 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Claude Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  2. 粘贴这条命令并按 Enter

    claude mcp add --transport http --scope user ideaudit-tools https://api.inite.studio/mcp
  3. 在 Claude Code 中输入 /mcp

    应能看到 ideaudit 在列表中并显示已连接

  4. 试一试

    用 ideaudit 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 ideaudit,或回答中出现 ideaudit 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  2. 在 Cursor 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 ideaudit 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 ideaudit,或回答中出现 ideaudit 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  2. 在 VS Code 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 ideaudit 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 ideaudit,或回答中出现 ideaudit 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://api.inite.studio/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 ideaudit 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

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

Cursor (~/.cursor/mcp.json)

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

VS Code (mcp.json)

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

安装在电脑上

Claude Code

claude mcp add --scope user ideaudit-tools -- npx -y @inite/ideaudit-tools

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "ideaudit-tools": {
      "command": "npx",
      "args": [
        "-y",
        "@inite/ideaudit-tools"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "ideaudit-tools": {
      "command": "npx",
      "args": [
        "-y",
        "@inite/ideaudit-tools"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "ideaudit-tools": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@inite/ideaudit-tools"
      ]
    }
  }
}

需要你填写的值

  • Authorization 机密 HTTP header
    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,…

说明仍为英文原文。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
38/周
已验证域名
✓ inite.studio
许可证i
未注明许可证
连接方式
电脑或云端
传输方式
stdio, streamable-http
最新版本i
1.1.0
分类i
其他
发布到注册中心i
2026年9月7日
代码最后更新i
2026年10月31日
作者
inite-ai
软件包
npm: @inite/ideaudit-tools
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月9日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • 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, cofounded_business, domain_expert, serial} archetype verdicts. Never

  • 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) PLU

  • 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 + Greco 2018 — equal-weight is defensible default when no out

  • 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 are dropped by modified Z-score over the median absolute deviat

  • 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_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 norma

  • 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, threshold, status, evidence?}, where status is tripped_now / monitor /

  • 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, det

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月14日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 inite.studio 验证(注册中心会核实域名所有权)

  • ✓ 通过

    仍在维护

    代码最后更新于14天前

  • ! 注意

    有许可证

    GitHub 无法识别许可证类型;请打开文件自行查看

  • ✓ 通过

    端点有响应

    在 79 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 21 个工具描述,未发现针对 AI 的隐藏指令

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

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与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 19720 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 19720 个服务器的 30% 更新
  • 基础检查结果等于或优于此分类中其他 19720 个服务器的 59%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

ideaudit 安全吗?

它在 5 项适用的基础检查中通过了 4 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于14天前,最新版本(1.1.0)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。

有什么可以替代它?

同一分类中有:World Monitor, Claude Flow, Windmill

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

作者:koala73广泛使用★ 9.1万昨天更新

在云端运行✓ 服务方 · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

作者:ruvnet广泛使用↓ 1.4万/周★ 8.2万14个月前更新

在你的电脑上运行

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

作者:windmill-labs广泛使用★ 1.9万前天更新

在云端运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

ideaudit-tools

The deterministic scoring behind ideaudit, as a local MCP server. No account, no key, no network, no model calls — just the arithmetic.

claude mcp add ideaudit-tools -- npx -y @inite/ideaudit-tools

Listed in the MCP registry as studio.inite/ideaudit-tools, which carries both ways in: this package over stdio, and the hosted server over HTTP. Installing straight from this repository — npx -y github:inite-ai/ideaudit-mcp — also works and runs the same code.

Why this is published

The product's claim is that it is an audit *allowed to say no*. A verdict nobody can inspect is a verdict nobody has to believe, so the part that produces the number is open — including the number that says no. You can read how three lens scores become KILL, disagree with the thresholds, and argue about the arithmetic rather than about our word.

It is also the honest shape of the system. The server makes zero model calls; judgement lives in the skills, determinism lives in the tools. These are the tools.

What runs locally

Twenty tools, every one a pure function of its input:

The verdictcompute_dealbreakers_v2, compute_crossed_matrix, derive_kill_criteria
Composite scoringcompute_lrs_composite, compute_lrs_composite_v2, compute_urgency_composite, compute_collection_scores
Market shapecompute_barrier, compute_multi_source_tam, compute_search_velocity, compute_search_velocity_v2, compute_social_pain
Moneyvalidate_unit_economics, compute_monetization, compute_budget_proof, compute_ppc_spend_signal
Signalscompute_funding_momentum, compute_hiring_demand, compute_x_signal, compute_build_complexity

compute_dealbreakers_v2 is the one that decides. Stage-aware weights, confidence-weighted lens scores, and a deliberately risk-asymmetric verdict: GO needs a score ≥ 80 *and* zero red flags *and* average confidence ≥ 0.6, while the KILL gate is observer-invariant — a founder profile shifts every threshold above the gate, and none of them below it. You cannot buy a better answer by describing yourself more favourably. There is a test that says so.

Same input, same output as the hosted server — because it is the same specification object, imported rather than reimplemented. A test asserts that identity rather than comparing two copies, so the two cannot drift.

Where to look

Be told where the numbers are rather than hunt for them:

  • **src/specs/*.ts** — one file per tool: what it accepts, what it means, what it returns. compute-dealbreakers-v2.ts is the verdict.
  • `src/server.ts` — the whole server, including what it refuses.
  • `src/__tests__/parity.test.ts` — the claims above, as assertions. The observer-invariant KILL gate is checked against all five archetypes.
  • `dist/bundle.js` — the arithmetic, un-minified. computeBarrier is a dozen lines and every constant is visible: 0.6 off the score per direct competitor, 0.2 per adjacent, six points of range spent on SERP noise, and labels at 18 / 12 / 6. Disagree with those numbers, not with our word.

That last one is a build artefact and reads like one — the commented source of the maths lives in the monorepo this repository is mirrored from, and is not here. If you want the reasoning behind a threshold rather than the threshold itself, open an issue and ask; that is a cheaper conversation than either of us pretending.

What needs the hosted server

Not withheld to make a point — these genuinely need somewhere to keep things and someone to pay for them:

  • Persistence. Saving an audit, finalising it, reading it back, comparing two of them, the dashboard. A verdict that exists only in a chat transcript is one nobody can re-open or defend later.
  • Data. SERP, keyword volume, funding rounds, hiring signals, social mentions. Those are metered third-party APIs.
  • The knowledge graph. Entities, evidence, contradictions across audits.

That boundary is enforced rather than documented. The hosted compute_dealbreakers_v2 takes an auditId; this one refuses it, by name, instead of letting zod strip it silently and handing you a correct verdict plus the false belief that it had been written down.

$ compute_dealbreakers_v2 {"auditId": "…", …}

{ "error": "unknown_arguments", "unknown": ["auditId"], "message": "This server computes; it stores nothing. …" }

The hosted server

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

--scope user --header "Authorization: Bearer $IDEAUDIT_API_KEY"

It serves these twenty tools and everything above them. Sign up at inite.studio; --scope user matters, or the registration is bound to one directory.

Using both

They compose. Register the local server for the arithmetic and the hosted one for everything else; tool names do not collide because the local set is a strict subset served under the same names, so whichever you register wins for those twenty and the rest resolve to the platform.

If you only want to check our maths against your own numbers, the local server alone is enough and always will be.

Contributing, and a warning about it

This repository is a projection. It is rebuilt and force-pushed from the monorepo that develops it every time the package changes, which means a pull request opened here would be overwritten by the next sync — through no fault of yours, and with no notification. Saying so is cheaper than letting someone find out by losing an afternoon.

Issues are the right channel and they are read: a threshold you think is wrong, a number you cannot reproduce, a tool that accepts something it should refuse. Bring the input you used — every tool here is deterministic, so a disagreement about an answer is always settleable.

Contribute with an AI agent

You don't need to be an engineer. Open the repo in your coding agent and say /contribute (Claude Code) — or "read AGENTS.md and help me report …" in any other agent. It runs the tool on your input, finds the constant involved, and files an issue a maintainer can settle — an issue, not a pull request, for the reason above. AGENTS.md also explains why dist/ is committed and how node scripts/verify-dist.mjs checks it against src/.

Licence

Apache-2.0. See LICENSE.