Pricing Time Machine

io.github.alialtunarv0.1.0更新于 Oct 1, 2026

How any SaaS pricing page changed over the years, from the Wayback Machine. No API keys.

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概览

AI 生成的概览

从 Wayback Machine 读取 SaaS 定价页的历史存档，让助手展示套餐与价格多年来的变化。

功能
该服务器查询 Wayback Machine 的 CDX 索引以找到定价页的存档副本，抓取最接近指定日期的快照，并提取金额、货币、计费周期和套餐名称的推测。工具包括 pricing_timeline（把相同价格归为时段并列出新增与移除）、pricing_at（最接近某日期的页面上的价格）、compare_pricing（同一页面在两个日期的对比）、compare_competitors（同一日期下 2 到 8 个页面的并排对比）以及 pricing_snapshots（哪些月份或年份有存档）。还提供完整定价历史报告和竞品对比的提示词。
适用场景
适合竞品与市场调研：追踪竞争对手何时涨价、改名套餐或取消免费版，查看某产品过去某年的收费，或在同一时间点比较多家厂商的定价。它只基于存档副本，因此适合历史问题，而不是当前的实时定价。
运行要求
通过 stdio 在本地运行，使用 uvx 从 PyPI 包 pricing-time-machine-mcp 安装，需要 uv。无需 API 密钥或账号。需要访问 archive.org 的网络连接，并会把存档页面缓存到用户缓存目录。
安装前请注意
只读：不抓取实时网站，也不修改任何内容。存档页面会缓存在本地磁盘。结果取决于 Wayback Machine 是否存档，用 JavaScript 渲染价格的页面会返回空内容，套餐名称是推测的，archive.org 可能较慢或短暂不可用。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Pricing Time Machine，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

pricing-time-machine-mcp

See how any SaaS pricing page changed over the years. An MCP server that reads archived copies of pricing pages from the Wayback Machine and pulls out the plans and prices, so Claude (or any MCP client) can tell you when a competitor raised prices, renamed plans or dropped a free tier.

No API keys. No scraping of live sites. One line to install.

You:    How did Notion's pricing change since 2022?Claude: [compare_pricing → notion.so/pricing, 2022-03 vs latest]        • Personal Pro ($4/mo billed yearly) is gone; the cheapest paid plan is now          Plus at $10 per member/month.        • Team ($8/user/mo) became Business at $20 per member/month: 2.5×.        • Free is still $0.

Summarized from real tool output: archived copies of 31 Mar 2022 and 7 Sep 2026.

[Notion pricing in 2022 vs 2026, compared by pricing-time-machine]

Why

You want to knowWithout itWith pricing-time-machine
When a competitor raised pricesClick through dozens of Wayback snapshots by handpricing_timeline lists price periods and every change
What their plans looked like in 2021Find a snapshot, read the pagepricing_at returns prices with plan names and billing hints
How a whole market movedDays of spreadsheet workcompare_competitors puts 2-8 pricing pages side by side at any date

How it works

mermaid
flowchart LR    C[Claude / MCP client] -->|tool call| S[pricing-time-machine-mcp]    S --> I[Wayback CDX index: which months were archived]    S --> W[Archived page closest to a date]    W --> X[Extract prices: amount, currency, /mo /yr, per user, plan guess, context]    X -->|compact table + page text around prices| C

The server does the deterministic part (finding snapshots, extracting prices, grouping periods). The model does the interpretation: which price belongs to which plan and what a change means. Archived pages never change, so they are cached on disk (~/.cache/pricing-time-machine).

Install

Requires uv.

Claude Code

bash
claude mcp add pricing-time-machine -- uvx pricing-time-machine-mcp

Claude Desktop / Cursor (claude_desktop_config.json / .cursor/mcp.json)

json
{  "mcpServers": {    "pricing-time-machine": {      "command": "uvx",      "args": ["pricing-time-machine-mcp"]    }  }}

Tools

ToolWhat it does
pricing_timelineReads N archived copies across the years, groups identical prices into periods, lists what was added/removed
pricing_atPrices on the page closest to a date, with plan guess, billing hints, context and the page text around them
compare_pricingOne page at two dates: both price tables plus added/removed prices
compare_competitors2–8 pricing pages side by side at the same date
pricing_snapshotsWhich months/years have an archived copy

Prompts: pricing_history_report (one company, the full story with dates), competitor_pricing (a market then vs now).

Dates can be 2021, 2021-06, 2021-06-15 or latest; the closest archived copy is used and its date is always shown.

Try these

  • "How did Slack's pricing change since 2016? Show every price increase in %."
  • "Compare the pricing of Notion, Coda and ClickUp today and in 2021."
  • "What did Figma charge for Professional in 2019?"
  • "Run pricing_history_report for linear.app/pricing."

Limits (set by the source)

  • Only pages the Wayback Machine archived. Most popular pricing pages have monthly copies going back years.
  • Pages that draw prices with JavaScript are empty in the archive; the server says so and you can try a nearby date.
  • Plan names are guesses from nearby headings; the context column and page text let the model check them.
  • archive.org is slow (10–30 s per page) and sometimes briefly offline; the server retries with backoff and caches everything it reads.

Part of the keyless MCP series

Open-source MCP servers that answer one market question each, with public data and no API keys.

ServerQuestion it answers
review-miner-mcpWhat do users hate about competitor apps and games? (App Store + Steam reviews)
pricing-time-machine-mcp (this one)How did a SaaS pricing page change over the years? (Wayback Machine)
hn-hiring-trends-mcpWhich skills are tech companies hiring for, and which are rising? (HN Who is hiring)
model-price-radar-mcpWhat does each LLM cost, and did it get cheaper? (OpenRouter + price history)
launch-detector-mcpWhat is a company about to launch? (certificate transparency logs)

Development

bash
uv sync --extra devuv run pytest                          # offline tests with a mocked Wayback Machineuv run python scripts/smoke_live.py    # live check against archive.org (1-3 min)uv run --with rich python scripts/demo.py notion.so/pricing 2022-03   # terminal demo (vhs docs/demo.tape records the GIF)npx @modelcontextprotocol/inspector uv run pricing-time-machine-mcp   # click-through UI

MIT © Ali Altunar

来源：README.md，提交 d8efc18

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版本历史

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  1. v0.1.0最新Oct 1, 2026