chargebee · MCP Server

Improvado MCP — Monitor Your Chargebee Revenue Data Effortlessly

Improvado's MCP server connects Chargebee to your AI agent. Query MRR, ARR, churn, upgrades, downgrades, and subscription lifecycle data in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Pull Any Subscription Metric Instantly

Skip Chargebee's reporting UI. Ask your AI agent for MRR trends, churn cohorts, plan distribution, or trial conversion rates — across date ranges, customer segments, and pricing tiers. The MCP server handles the Chargebee API.

Example prompts

"What's my MRR growth trend over the last 12 months? Break it down by new business, expansion, and churn."

40 min → 30 sec

"Show me churn rate by plan tier this quarter. Which plan has the highest voluntary churn?"

20 min → 20 sec

"Compare trial-to-paid conversion rates by acquisition channel for the last 90 days."

2 hrs → 2 min

Works with Claude ChatGPT Cursor +5

Write

Write: Apply Discounts and Manage Subscriptions Programmatically

Your AI agent acts on Chargebee data. Apply coupons, pause subscriptions, update plan assignments, and trigger renewal actions — all through natural language commands translated into Chargebee API operations.

Example prompts

"Apply a 20% retention discount coupon to all customers who submitted a cancellation request in the last 7 days."

1 hr → 5 min

"Pause subscriptions for all accounts flagged as past-due for more than 30 days and send a dunning notification."

45 min → 2 min

"Move all monthly subscribers on the Starter plan who've been active for over 12 months into the annual upsell flow."

2 hrs → 10 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Churn Signals and Revenue Anomalies

Set up your AI agent to watch Chargebee metrics continuously. Get alerts when MRR dips, churn spikes, trial conversions drop, or at-risk accounts exhibit cancellation signals — before the revenue impact compounds.

Example prompts

"Alert me when weekly churn rate exceeds the prior 4-week average by more than 20%."

Manual → auto

"Every Monday: send a digest of MRR movement — new, expansion, contraction, and churned revenue."

2 hrs → auto

"Flag any account with declining usage AND an upcoming renewal in the next 14 days."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

MRR Reconciliation Takes All Week

The problem

Finance and revenue operations teams reconcile Chargebee MRR data monthly — matching invoices, handling proration edge cases, and accounting for refunds and credit adjustments. The process is manual, error-prone, and takes days to complete for SaaS businesses with complex plan structures.

How MCP solves it

Improvado normalizes Chargebee's subscription events — including proration, upgrades, downgrades, and refunds — into a consistent revenue model. Ask the MCP server for reconciled MRR, net revenue by segment, or movement analysis without manual joins.

Try asking

Show me last month's MRR reconciliation — starting MRR, new, expansion, contraction, churn, and ending MRR.

Answer in seconds

All data sources, one query

Challenge 2

Churn Prediction Requires CRM and Product Data

The problem

Chargebee has billing signals. CRM has support tickets. Product analytics has usage data. Identifying at-risk accounts before they churn requires joining all three — a pipeline nobody has time to maintain. Customer success teams find out about churn when the cancellation arrives.

How MCP solves it

Improvado joins Chargebee subscription data with CRM and product analytics in one normalized model. Ask the MCP server for accounts showing low usage, recent support escalations, AND an upcoming renewal — combining all three signals in one query.

Try asking

Which accounts renewing in the next 30 days have declining product usage AND an open support ticket?

Full detail preserved

No data loss on export

Challenge 3

Plan Mix Reporting Is Always Stale

The problem

Understanding how customers distribute across pricing tiers, and how that mix is shifting over time, requires exporting Chargebee subscription data, building pivot tables, and updating charts manually. By the time leadership reviews the plan mix report, it's already outdated.

How MCP solves it

Ask the MCP server for live plan distribution, cohort-based tier migration analysis, or expansion revenue by plan path — on demand, without exports. The AI agent returns current data every time, no scheduled reports required.

Try asking

How has our plan mix shifted over the last four quarters? Show subscriber count and MRR contribution by tier.

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

Does Chargebee have an official MCP server?

Chargebee does not publish an official MCP server. Improvado provides a hosted MCP server that connects Chargebee to Claude, ChatGPT, Cursor, and other MCP-compatible AI tools — with pre-authenticated accounts, normalized subscription data, and cross-platform querying.

Can the Chargebee MCP server combine subscription data with CRM or product analytics?

Yes. Improvado normalizes Chargebee alongside CRM platforms and product analytics tools. The MCP server can answer questions combining billing signals, support history, and product usage — in one query, without manual data joining.

What Chargebee data is available through the MCP server?

Subscriptions, MRR, ARR, churn events, plan changes, invoices, payment history, coupon usage, trial data, customer segments, and revenue movement (new, expansion, contraction, churned). Improvado normalizes the full Chargebee API surface.

Which AI tools work with the Chargebee MCP server?

Any tool supporting the Model Context Protocol: Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using the MCP HTTP transport. Claude is most commonly used due to its native MCP support — all through Improvado's hosted MCP server.

Is my Chargebee data secure through the MCP server?

Yes. Improvado is SOC 2 Type II certified. Chargebee API keys are stored in an encrypted vault. All queries run through Improvado's secure proxy — your credentials are never exposed to the AI tool directly.

How quickly can revenue teams start querying Chargebee with AI?

If Chargebee is already connected in Improvado, the MCP server is available immediately. For Claude Desktop or Cursor, one configuration line is all that's needed. For new accounts, Chargebee authentication typically completes in under 10 minutes.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms