How does this MCP handle different customer segments?

The MCP uses tier-based segmentation, allowing your agent to pull data for specific groups like SMB or Enterprise separately.

Can I use this with Claude or Cursor?

Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

What is the difference between logo churn and revenue churn in this capability?

Logo churn tracks the number of customers lost, while revenue churn tracks the actual impact on your ARR.

How do I find out why my customers are leaving?

You can use the get_churn_reason_distribution capability to see the most common reasons for attrition in a specific tier.

Can this capability help me find high-risk accounts?

Yes, the analyze_risk_indicators capability evaluates whether a tier is experiencing dangerous churn patterns based on revenue and logo correlations.

How does this capability help identify high-value customer loss?

By using analyze_risk_indicators, you can detect if revenue churn is significantly higher than logo churn, which signals that high-value customers are leaving.

Can I compare different customer segments?

Yes, the compare_tiers_performance capability allows you to compare churn metrics and revenue impact between any two tiers like SMB and Enterprise.

What metrics are included in the tier summary?

The get_tier_summary capability provides logo churn rate, revenue churn rate, total customers, total ARR, churned customers, and lost ARR.

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Connect Enterprise Churn Analyzer to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Identify why high-value customers leave and where revenue is leaking.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Enterprise Churn Analyzer.

01
Analyze risk indicators
This capability evaluates if a specific tier is hitting dangerous churn patterns. It looks at the correlation between revenue loss and customer count to flag high-risk segments.
02
Compare tiers performance
This capability compares churn metrics between two different customer tiers. It helps you spot if one segment is losing customers at a disproportionate rate compared to others.
03
Get churn reason distribution
This capability identifies the primary drivers behind customer departures. It breaks down the most common reasons why users leave within a chosen tier.
04
Get tier summary
This capability provides a high-level overview of churn metrics. It gives your agent a quick snapshot of the health of a specific customer segment.

Real work

What teams actually run

Identifying Whale Churn

Use the agent to detect when revenue churn is much higher than logo churn, signaling that large enterprise accounts are leaving.

Product Gap Analysis

Ask the AI to find the most common reasons for churn in a specific tier to inform the product roadmap.

Segment Health Checks

Run a summary of a specific tier to see if churn is increasing or stabilizing.

Competitive Response

Analyze if pricing competition is a primary driver for churn in the Mid-Market segment.

One connector, every AI

Enterprise Churn Analyzer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Enterprise Churn Analyzer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

934ms average. Fast in production.

Enterprise Churn Analyzer is checked daily against the live service.

Daily averagePeak 1146ms

Oct 3Today

Fastest day: 758ms
Slowest day: 1146ms
14-day trend: Slowing+28%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Enterprise Churn Analyzer, so you can see the experience inside your AI.

It does not authenticate your account with Enterprise Churn Analyzer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Enterprise Churn Analyzer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Op8QTDKGFUBIu7lEmSXREq4ApTCCI9nYIjtB9uMb/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Enterprise Churn Analyzer capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "enterprise-churn-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Op8QTDKGFUBIu7lEmSXREq4ApTCCI9nYIjtB9uMb/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Enterprise Churn Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Enterprise Churn Analyzer owners hand off.

This MCP is built for revenue and product leaders who need to move beyond surface-level churn numbers. It helps professionals turn raw attrition data into specific strategic insights.

01
Customer Success Managers
They use the AI to identify which high-value accounts are showing risk patterns.
02
Revenue Operations
They use the capability to report on the revenue impact of churn across different business segments.
03
Product Managers
They use the reason distribution data to understand which feature gaps are driving users away.

FAQ

Questions Enterprise Churn Analyzer owners ask.

01
How does this MCP handle different customer segments?
The MCP uses tier-based segmentation, allowing your agent to pull data for specific groups like SMB or Enterprise separately.
02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
03
What is the difference between logo churn and revenue churn in this capability?
Logo churn tracks the number of customers lost, while revenue churn tracks the actual impact on your ARR.
04
How do I find out why my customers are leaving?
You can use the get_churn_reason_distribution capability to see the most common reasons for attrition in a specific tier.
05
Can this capability help me find high-risk accounts?
Yes, the analyze_risk_indicators capability evaluates whether a tier is experiencing dangerous churn patterns based on revenue and logo correlations.
06
How does this capability help identify high-value customer loss?
By using analyze_risk_indicators, you can detect if revenue churn is significantly higher than logo churn, which signals that high-value customers are leaving.
07
Can I compare different customer segments?
Yes, the compare_tiers_performance capability allows you to compare churn metrics and revenue impact between any two tiers like SMB and Enterprise.
08
What metrics are included in the tier summary?
The get_tier_summary capability provides logo churn rate, revenue churn rate, total customers, total ARR, churned customers, and lost ARR.

Explore

More in Business Intelligence

Connect Enterprise Churn Analyzer to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Analyze risk indicators

Compare tiers performance

Get churn reason distribution

Get tier summary

What teams actually run

Identifying Whale Churn

Product Gap Analysis

Segment Health Checks

Competitive Response

Building your own app? The connector is yours to use.

Enterprise Churn Analyzer Connector

Claude Desktop

Customer Success Managers

Revenue Operations

Product Managers

How does this MCP handle different customer segments?

Can I use this with Claude or Cursor?

What is the difference between logo churn and revenue churn in this capability?

How do I find out why my customers are leaving?

Can this capability help me find high-risk accounts?

How does this capability help identify high-value customer loss?

Can I compare different customer segments?

What metrics are included in the tier summary?

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