MCP server
MRR Ledger Official
com.mrrledger/mrrledger
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Sourced, dated revenue of real AI-agent businesses. Free. Start with search_businesses.
Working at last checkVerified publisher: mrrledger.comAbout 2,898 tokens per request once connected15 tools
https://mrrledger.com/mcp
At a glance
- Type
- MCP server
- Publisher
- mrrledger.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 15
- Token cost
- About 2,898 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http mrrledger https://mrrledger.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.mrrledger] url = "https://mrrledger.com/mcp"
Gemini CLI
{"mcpServers":{"mrrledger":{"httpUrl":"https://mrrledger.com/mcp"}}}
Cursor
{"mcpServers":{"mrrledger":{"url":"https://mrrledger.com/mcp"}}}
VS Code
{"servers":{"mrrledger":{"type":"http","url":"https://mrrledger.com/mcp"}}}
Antigravity
agy mcp add mrrledger https://mrrledger.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"mrrledger","server_url":"https://mrrledger.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"mrrledger","server_url":"https://mrrledger.com/mcp"}
Tools
benchmark_business~352 tokens
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 customer-support MRRcompare_businesses~176 tokens
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":"lovable"} -> Cursor vexport_dataset~221 tokens
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 x402) or "jsonl" ($0.50get_business~194 tokens
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. Includes every dated revenue figure (label, value, as_of, souget_category~138 tokens
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).get_growth~149 tokens
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. Unknown slug -> isError.get_tag~114 tokens
Returns one tag: count, median annualized revenue and members with rank and revenue. Example: {"slug":"trustmrr"} -> every business tagged trustmrr. Unknown slug -> isError. Cost: free (100 calls/day without a key).hub_stats~104 tokens
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).leaderboard~232 tokens
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 (briefs as in search_businesses); filters category, verified_only, limit (max 50). Example: {"category":"coding-agelist_categories~111 tokens
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).list_tags~97 tokens
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).search_businesses~506 tokens
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, SEO...). Returns AI-agent businesses with sourced, dated revenue (start here). Example: {"query":"support","limit":3} -> 3search_lessons~208 tokens
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).todays_feature~76 tokens
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).whats_new~220 tokens
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). Example: {"since":"2026-10
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