MRR Ledger

Connect it to your AI

Claude Code

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

Claude, ChatGPT, Cursor and other apps

Add it as a custom connector with this URL (Streamable HTTP):

https://mrrledger.com/mcp

Cursor, VS Code and other apps (mcp.json)

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

Tools it offers

15 tools, as the server itself reported during our check on Oct 31, 2026.

• search_businessesUse 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
• benchmark_businessUse 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: {"categ
• get_businessUse 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 figu
• leaderboardUse 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_lab
• compare_businessesUse 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
• get_growthUse 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":
• whats_newUse 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; fil
• get_categoryReturns 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
• list_categoriesReturns 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_lessonsReturns 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 (
• hub_statsReturns 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_annual
• todays_featureReturns 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_tagReturns 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_tagsReturns 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_datasetReturns 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 sourc

Questions