AI Billing Infrastructure with MCP Server

What AI-native companies require

Meter, query, and act on revenue.
We built for that.

Our customers didn't ask for another incremental upgrade. They asked their billing infrastructure to match an AI-native stack. Four requirements came up again and again.

01

A unified data foundation

One source across usage and billing, so predictive intelligence and agent-driven decisions run on the whole monetization lifecycle, not a fragment of it.

One financial record, usage to revenue

02

A safe agent framework

A foundation where AI can act on behalf of users across billing, revenue, and growth, inheriting real roles and permissions, not over-provisioned keys.

MCP server + scoped access

03

Less load, faster outcomes

AI that cuts cognitive load and time-to-outcome for finance, product, and revenue teams, turning a BI request into a prompt, and ten minutes into one.

Plain-language queries, instant answers

04

Intent over integration

Less friction automating Chargebee, shifting developers from reading docs and stitching APIs to simply describing what they want done.

API · MCP · CLI, describe-to-act

Agent-native infrastructure

Give your agents
billing they can talk to.

The Chargebee MCP server connects your live billing data to Claude, Cursor, ChatGPT, Codex, Notion AI, and Claude Code, so agents and developers query subscriptions, invoices, usage, and pricing in plain language, no dashboard required.

Model Context Protocol serverRead live billing data inside any MCP-compatible agent environment.

Three built-in agentsData Lookup, Knowledge Base, and Onboarding, plus Copilot for natural-language revenue questions.

Built for autonomous consumptionAgents meter their own usage and bill against it.

Claude Cursor ChatGPT Codex Claude Code Notion

chargebee-mcp

// Connect Chargebee to your AI client
{
  "mcpServers": {
    "data_lookup_agent": {
      "url": "https://your-subdomain.mcp.chargebee.com/data_lookup_agent"
    }
  }
}
// OAuth runs in your browser on first connect. No keys in the file.

▸ "How much usage revenue is unbilled right now?"
  → aggregates live usage events

▸ "Which accounts will exhaust credits this week?"
  → reads the credit ledger + burn rate

▸ "Break down MRR by pricing model."
  → one record, every model, ASC 606

▸ "Flag agent runs that lost margin."
  → joins outcome ledger + burn tables

From prompt to artifact

Generate ARR cubes, churn models,
and CFO dashboards from one prompt.

Ask a question, get a working dashboard.
No BI team, no export queries.

ARR by quarter (USD M)9 quarters

Quarter	ARR	QoQ	NRR
Q1 2024	$248.1M	—	106.2%
Q2 2024	$271.4M	+9.4%	108.1%
Q3 2024	$293.7M	+8.2%	110.4%
Q4 2024	$322.0M	+9.6%	112.3%
Q1 2025	$362.4M	+12.5%	114.1%
Q2 2025	$398.7M	+10.0%	115.8%

Revenue AnalyticsThe Nine-Quarter ARR Cube

One prompt. One table. Every customer’s ARR over time.

Health score distributionAll customers

Healthy ≥66 Watch 50–65 At risk <50

Startup

Scaleup

Enterprise

Customer HealthChurn Risk, Fitted to You

A health score learned from your own churn, not a generic rule.

Unpaid dollars by month, YTD

$17.8MOutstanding

AR follow-up 48% Routine 22% Active failing 15% Silent churn 15%

Collections IntelligenceUnpaid Invoices, Risk-Ranked

One question. A collections call list ordered by risk, not size.

CFO intelligence · live$1.08M MRR

MRR by plan

$1.08MTotal MRR

Enterprise 94% Growth 5% Starter 1%

MRR by region

$1.08MTotal MRR

NAMER 59% EMEA 30% LATAM 6% APAC 5%

Finance IntelligenceCFO Intelligence Dashboard

Ask your billing data a question. Get board-ready analysis in seconds.

chargebee.com/mcp/recipes

Featured outputs · See a live answer

Dunning recovery intelligence

Usually asked by the team working dunning

▲

Ask Chargebee MCP

Claude Desktop — Chargebee MCP⎘ Copy prompt

"Pull all invoices where dunning_status is 'in_progress' — these are accounts currently in active dunning with automatic retries still running. Also pull invoices where dunning_status is 'exhausted' — these have used all retry attempts and are likely lost. For each account, show customer ID, invoice amount, number of dunning_attempts, and the last attempt date. Sort by invoice amount descending within each tier: Active dunning (in_progress), Exhausted (exhausted)."

The recipe library

Run 25+ prompts your
team can use today.

Every artifact above starts as one of these. Browse the full set of verified prompts for finance, CS, RevOps, and product, each with the exact question and the answer it returns.

Open the MCP recipes →

Two surfaces, one intelligence

Query billing in Chargebee,
or in your AI client.

The same billing intelligence runs in two places: inside Chargebee for your team, and inside your AI client for agents and developers. Equally powerful on both. Same data, same rules.

One intelligence layer

Inside Chargebee

Copilot

Your team asks in plain language. Copilot inherits their exact role and permissions the moment they open it, and acts under their name in the audit trail, with no separate credentials and no over-provisioned keys.

OnboardingKnowledge BaseData Lookup

In your AI client

MCP server

Agents and developers query live billing data from Claude, Cursor, ChatGPT, or Codex, through structured, LLM-optimized tools that read subscriptions, invoices, usage, and pricing without the Chargebee UI.

ClaudeCursorChatGPTCodexNotion

Headless by design · runs without the dashboard

Run billing without
opening the dashboard.

Every billing action is exposed as an API, an MCP tool, and a CLI command, so your agents operate revenue from wherever they already work, and your team manages outcomes, not screens.

Operate Chargebee headlessly.

Chargebee was always available headlessly. Teams running on Salesforce, HubSpot, or anywhere else connect over the API. But being available as an integration isn't the same as being built for intelligence. We made the headless layer smarter: optimized for the LLM world, where agents don't just call APIs. They describe intent and act.

API

REST APIsThe complete revenue surface (subscriptions, invoices, usage, entitlements), programmable end to end.

MCP

MCP toolsStructured, LLM-optimized tools so agents retrieve and act on live billing data without the dashboard.

CLI

CLI commandsDrive billing from the terminal and CI, the same engine, scripted into your developer workflow.

The category is going headless

Salesforce · TDX 2026Headless 360

Salesforce rebuilt its platform around APIs, MCP tools, and CLI (60+ MCP tools, 30+ agent skills), arguing that platforms which force humans to click through UIs aren't ready for the agentic enterprise.

Also standardizing on MCP

Microsoft SAP Atlassian Notion Intercom Zendesk

Chargebee was already headless. The difference: Salesforce is adding MCP onto a CRM; we built billing intelligence for it.

One platform, end to end

Quote, meter, invoice, and
recognize on one record.

No tool seams between sales and finance, no revenue
leaking between steps.

Billing

Chargebee Billing

Meter tokens, agent runs, seats, and outcomes, then invoice, collect, and recognize automatically. 200,000+ usage events per second with near-real-time accuracy.

Token metering184.2M

Usage → invoice$24,608

Recognized · ASC 606✓

Explore Billing →

RevRec

Automate revenue recognition under ASC 606 and IFRS 15, built in, not bolted on. 150+ finance-grade reports, IPO-ready.

See how RevRec automates ASC 606 →

Reveal

ML-powered payments intelligence that detects failure patterns and revenue leaks, with the dollar impact of every fix.

Explore payment intelligence →

CPQ

AI-powered, billing-native quotes that become billing records at close. CPQ Lite free for all Billing customers.

See how CPQ closes faster →

Growth

Turn billing data into retention action. AI churn scores 1–99, cancel-flow deflection, pricing experiments.

See AI churn scoring →

The SaaS playbook breaks in the AI era. You can't price what you can't see. Finance visibility inside the product is the prerequisite for AI monetization to work at all.

Kunal Agarwal

CFO, Gorgias

Bring billing into the age of AI

Reprice as often as you want.
The record stays defensible.

See how AI-native companies meter, monetize, and recognize every model on one platform, without engineering for every pricing change.

Get a demo → Read the MCP docs →

200K+

Usage events ingested
per second

6,500+

Businesses billing on Chargebee

150+

Finance-grade revenue reports

#1

Furthest for Completeness of Vision, 2025 Gartner® MQ™

FREQUENT QUESTIONS AI-NATIVE TEAMS ASK

About Chargebee MCP.

What Chargebee does, how it compares, and
why AI-native companies bill on it.

What makes Chargebee AI-native, and not just billing software?

Two things. First, every AI pricing model lives on one record: token, credit, usage, outcome, agentic, and hybrid all meter, invoice, and recognize under ASC 606 in one place, so repricing never breaks the audit trail. Second, Chargebee ships a Model Context Protocol (MCP) server, so agents and developers read and act on live billing data inside Claude, Cursor, ChatGPT, Notion AI, and Codex. It's billing built for a stack where the unit of work keeps changing and agents do the work.

Which pricing models can I bill on?

All of them, starting with the models AI companies run on: usage-based (metered), token-based, credit-based, outcome-based, agentic, and hybrid (subscription plus usage overages). Plus the classics: tiered, volume, per-seat, flat-fee, freemium, trials, multi-year, and ramp pricing. Teams configure and launch new models without engineering, and run A/B pricing experiments with Chargebee Growth, so your commercial model can shapeshift as fast as your product does.

Can AI agents act on billing data, or only read it?

Today, agents and developers query live billing data through the MCP server: subscription state, invoices, usage, credit ledgers, and payment history, all directly inside their AI client, with no dashboard required. Write actions are launching shortly, so agents will move from answering to doing: issuing credits, triggering dunning, and adjusting subscriptions within the same prompt. Chargebee also supports agentic workflow billing for pricing driven by autonomous agent activity rather than predictable human usage.

How is this different from Stripe Billing?

Stripe Billing is a developer-focused payments and billing API, quick for basic recurring billing, but it leans on engineering as pricing complexity grows. Chargebee ships more out of the box. That means native ASC 606 / IFRS 15 revenue recognition, AI-powered CPQ with HubSpot and Salesforce approval flows, usage metering at 200K+ events/sec, and 30+ payment gateways. Stripe Billing locks you into one provider; Chargebee gives you the flexibility to cut processing fees and lift authorization rates across geographies.

How is this different from Metronome or Orb?

Metronome and Orb are usage rating engines: they meter and rate, but you still bolt on Stripe for invoicing and stitch the rest together yourself. Chargebee is one system for quoting, metering, invoicing, and revenue recognition, with no multi-vendor seams and no finger-pointing between tools. You also get native tax, ASC 606 RevRec, 150+ finance-grade reports, CPQ for sales-led motions, and 30+ gateways, not a single-provider lock-in.

What can my team ask the MCP server?

Real revenue questions, in plain language: "how much usage is unbilled right now," "which accounts exhaust credits this week," "pull my churn list ranked by ARR," "reconstruct this customer's payment history before the renewal call." A BI request becomes a prompt; ten minutes becomes one. See the full set in the MCP recipe library, with 25+ verified prompts for finance, CS, RevOps, and product.

Is Chargebee proven at scale?

Chargebee is a 2025 Gartner® Magic Quadrant™ Leader for Recurring Billing Applications, placed furthest for Completeness of Vision, and powers billing for 6,500+ businesses, including the AI-native companies defining the category: Lambda, CodeRabbit, HeyGen, DeepL, and more. The platform ingests 200K+ usage events per second with near-real-time accuracy.

Your billing data, one prompt away.

Meter, query, and act on revenue.We built for that.