Lead Leak Check

io.github.paopao-studio-ai由 GitHub 帳號 paopao-studio-ai 發布v0.1.0更新於 Oct 30, 2026

Finds where inbound leads are silently dropped in Zapier, Make and n8n pipelines. Offline.

發布方自己的服務:check.tattoo: tattoo size and placement guide

已驗證STDIO僅桌面效率與工作流商業與電商

概覽

AI 產生的概覽

離線 MCP 伺服器,用來稽核 Zapier、Make 或 n8n 的名單流程,並列出潛在名單被默默漏掉的风险排序清單。

可以做什麼
  • 依包含來源、儲存、路由、回應與監控的 JSON 設定檢查流程,回傳 0-100 風險分數與依高、中、低、待確認排序的發現
  • 用自然語言描述流程進行檢查,取得相同報告並附上文字的解讀方式
  • 分析執行歷史 CSV 匯出,找出失敗與被過濾的執行、長時間沒有執行的空檔以及停滯的工作流程
  • 讀取內建規則資源,查看全部 15 條外洩規則及其說明與修正建議
適用情境
適合以 Zapier、Make 或 n8n 收集潛在客戶、懷疑名單在首次接觸到首次人工回覆之間遺失的情況,也適合在調整流程前後做一次快速風險檢查。
執行需求
以 stdio 方式在本機執行。可從原始碼安裝,需要 Python 3.10+ 與 pip;也可使用 MCPB 安裝包,需要 uv。未宣告任何帳號、API 金鑰或環境變數,且不會發出網路請求。
安裝前請注意
需要把流程設定、自然語言描述與執行歷史 CSV 交給助理,送出前請先確認是否含客戶資料。結論僅供參考:未描述的部分會標為待確認而非安全。README 另外宣傳付費諮詢服務與一個外部免費範本,與工具本身無關。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Lead Leak Check,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

lead-leak-check (MCP server)

Find where inbound leads are silently dropped between the first touch and the first human reply.

Your Zapier, Make or n8n runs say Success. The lead still never hears back: nobody owned the reply, a filter stopped on an empty field, the workflow was switched off for a day, or an AI draft sat unsent. lead-leak-check turns a description of your lead pipeline into a ranked list of those risks, each with a concrete fix.

Tools

ToolInputOutput
check_pipelineJSON config of your pipeline (sources, storage, routing, response, monitoring…)Risk score 0–100 and findings ranked high / medium / low / verify
check_pipeline_descriptionPlain English, e.g. "Typeform and WhatsApp go to Google Sheets via Zapier, nobody is assigned"Same report, plus how the text was interpreted
analyze_run_historyCSV export of run history (status column, optional timestamp)Failed and filtered runs, long gaps with no runs, stale workflows

Resource: leakcheck://rules lists all 15 rules with their explanation and fix.

Anything you don't describe is reported as verify, never as safe. No network calls, no data leaves your machine.

Install

bash
git clone https://github.com/paopao-studio-ai/lead-leak-check-mcp && cd lead-leak-check-mcppip install .            # Python 3.10+, works with mcp 1.x and 2.x

One-click bundle (MCPB)

Download lead-leak-check-mcp-0.1.0.mcpb from the latest release and open it in Claude Desktop (or any MCPB-aware client). Needs uv; dependencies install automatically.

Claude Desktop / Cursor / any MCP client

json
{  "mcpServers": {    "lead-leak-check": { "command": "lead-leak-check-mcp" }  }}

Without installing: {"command": "python", "args": ["-m", "lead_leak_check.server"], "env": {"PYTHONPATH": "/path/to/lead-leak-check-mcp/src"}}

Command line

bash
lead-leak-check check examples/pipeline.jsonlead-leak-check describe "WhatsApp leads land in Google Sheets via Make.com. Nobody is assigned."lead-leak-check history examples/run_history.csv --interval 30lead-leak-check --json check examples/pipeline.json

Config shape (all keys optional)

json
{  "name": "Typeform -> Google Sheets -> Slack #sales",  "sources": [{ "type": "web_form", "required_contact_field": false }, { "type": "whatsapp", "logged_to_storage": false }],  "storage": { "type": "google_sheets", "dedupe": false },  "routing": { "owner_assignment": "none", "after_hours_coverage": false },  "response": { "sla_minutes": 30, "auto_ack": true, "ai_drafts": true, "human_send_step": false },  "monitoring": { "error_alerts": false, "unanswered_lead_alert": false, "run_history_review": "never" },  "automation": { "platform": "zapier", "plan": "free" },  "timezone": { "business_tz": "America/New_York", "automation_tz": "UTC" },  "follow_up": { "sequence": false }}

Example output (top of the report for the config above):

# Lead leak risk: Typeform -> Google Sheets -> Slack #salesRisk score: **100/100** (12 findings)## 1. [HIGH] Nobody owns the first reply- Why it leaks: Leads posted to a shared sheet or channel are seen by everyone and answered by no one.- Fix: Assign an owner per lead (round robin or fixed) at the moment it is created, and name them in the notification.

Fix the #1 finding for free

The most common high-severity finding is "no alert when a lead goes unanswered". The free n8n missed-lead heartbeat template (https://github.com/paopao-studio-ai/n8n-missed-lead-heartbeat) checks your sheet or CRM every 5 minutes and pings Slack, Discord or any webhook when a lead waits past your SLA.

Want a human to map it?

Paopao Studio runs a fixed-price Lead Leak Check ($197): a written leak map of 1–2 lead workflows, credited in full to a Starter build within 30 days. Free screenshot triage by email. → https://paopao-studio.pages.dev/?utm_source=github&utm_medium=oss&utm_campaign=lead_leak_1029

Develop

bash
pip install -e ".[test]"pytest -q          # rule tests + an end-to-end stdio round trip with the official MCP client

License

MIT, see LICENSE.

來源:README.md,提交 db77d71

工具

0
SourceWeft 曾在隔離沙箱中以無憑證方式啟動該軟體包一次,以列出其工具,但未能完成:該軟體包類型無法在沙箱中執行。

版本歷史

1
  1. v0.1.0最新Oct 29, 2026

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