MRR Ledger

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 会计、财务与税务

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://mrrledger.com/mcp

claude mcp add --transport http mrrledger https://mrrledger.com/mcp

{
  "mcpServers": {
    "mrrledger": {
      "url": "https://mrrledger.com/mcp"
    }
  }
}

{
  "servers": {
    "mrrledger": {
      "type": "http",
      "url": "https://mrrledger.com/mcp"
    }
  }
}

https://mrrledger.com/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

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。

它能做什么

工具名称和描述与服务器在 2026年11月7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。

• search_businesses

  Use when the user asks how much revenue, MRR or ARR an AI agent, AI startup or AI tool makes, or wants real examples of AI businesses in a niche (support, coding, voice, sales, automation...). Returns AI-agent businesses with sourced, dated revenue (start here). Example: {"query"

• benchmark_business

  Use when the user gives their own MRR or asks whether their revenue is good compared with similar AI businesses. Returns where an MRR ranks among fresh same-category MRR peers (rank of N + 1 comparable). Example: {"category":"customer-support","mrr":2000} -> your rank among the c

• get_business

  Use when the user names one AI company or agent (e.g. Cursor, Lovable) and asks about its revenue, pricing model or growth. Returns one business's full sourced record. Example: {"slug":"cursor"} -> Cursor with every figure and its source. Use it when you already have the slug (fr

• leaderboard

  Use when the user asks which AI agents or AI startups make the most money, or for a top-N revenue ranking. Returns businesses ranked by latest sourced annualized revenue, highest first (same briefs, with verification_label, as search_businesses). Example: {"category":"coding-agen

• compare_businesses

  Use when the user asks to compare two AI companies (X vs Y) on revenue or business model. Returns two businesses side by side (tier, category, annualized revenue + basis, pricing model, founded, top lessons, growth) and a diff with the revenue ratio. Example: {"a":"cursor","b":"l

• get_growth

  Use when the user asks how fast an AI company grew or for its revenue over time. Returns one business's dated revenue series, oldest first (as_of, annualized_usd, label, value_usd, source_url; MRR x12). Example: {"slug":"lovable"} -> Lovable's dated ARR points with sources. Unkno

• whats_new

  Use when the user asks what is new or what changed recently in AI startup revenue figures. Returns the change log, newest first: businesses added and figures added, revised, re-dated or removed, each with source_url; filters since (YYYY-MM-DD), slug, kind, limit (max 100). Exampl

• get_category

  Returns one category: count, median annualized revenue (overall, by tier) and members with rank and revenue. Example: {"slug":"customer-support"} -> the customer-support agents with their revenue. Unknown slug -> isError. Cost: free (100 calls/day without a key).

• list_categories

  Returns every category with count, median annualized revenue and members (slug, name, rank, revenue). Example: {"limit":3} -> the first 3 categories with their members. Cost: free (100 calls/day without a key).

• search_lessons

  Returns builder lessons from every business, each with its business and themes; filter by query and/or theme, limit (max 50). Example: {"theme":"pricing","limit":5} -> 5 pricing lessons and their businesses. Cost: free (100 calls/day without a key).

• hub_stats

  Returns dataset totals: business, ranked and lesson counts, counts per category and tier, median annualized revenue, payment-verified share, latest change date. Example: {} -> {business_count, ranked_count, median_annualized_usd, ...}. Cost: free (100 calls/day without a key).

• todays_feature

  Returns today's featured business (rotates daily): one full profile, same shape as get_business. Example: {} -> one business record. Cost: free (100 calls/day without a key).

• get_tag

  Returns one tag: count, median annualized revenue and members with rank and revenue. Example: {"slug":"vibe-coding"} -> every business tagged vibe-coding. Unknown slug -> isError. Cost: free (100 calls/day without a key).

• list_tags

  Returns every tag with count, median annualized revenue and members, most used first. Example: {"limit":10} -> the 10 most-used tags. Cost: free (100 calls/day without a key).

• export_dataset

  Returns the Reported AI Revenue Tracker in one call: AI businesses whose figures all come from press coverage, company announcements or filings (reported, not payment-verified), every figure with its as-of date and source_url, plus dated readings. format "csv" ($0.25 USDC via x40

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8日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（mrrledger.com）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 485 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 15 个工具描述，未发现针对 AI 的隐藏指令

与“会计、财务与税务”中的其他服务器比较i

• 星标数多于此分类中其他 2908 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 2908 个服务器的 76% 更新
• 基础检查结果等于或优于此分类中其他 2908 个服务器的 45%

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。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ 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

作者的 README

仓库中没有找到 README