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Connect Customer Health Score to ChatGPT, Claude and Gemini

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. Turn usage data into actionable retention insights.

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 · 5 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 5 available through Customer Health Score.

  1. 01

    Analyze usage and adoption

    This capability measures how deeply a customer has integrated your product into their daily workflow. It tracks feature adoption to see if they are getting real value.

  2. 02

    Compare to segment benchmarks

    This capability compares a specific customer's metrics against their peer group. It shows you if an account is performing better or worse than similar users.

  3. 03

    Evaluate sentiment and support

    This capability assesses customer satisfaction and friction. It looks at support engagement and sentiment trends to find unhappy users.

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through Customer Health Score.

  1. 04

    Get customer health score

    This capability pulls a complete health profile for a specific customer. It provides a high level overview of their current status.

  2. 05

    Assess financial health

    This capability checks the stability of the relationship by looking at payment history. It helps identify billing issues that might signal future churn.

Real work

What teams actually run

01

Proactive Churn Prevention

Your agent flags a customer whose usage has dropped and sentiment is trending down.

02

Upsell Targeting

You ask your AI to find customers with high health scores and high feature adoption for expansion.

03

Segment Analysis

You compare a new cohort's health against established benchmarks to see how they are performing.

04

Support Friction Audit

You use sentiment analysis to find customers struggling with specific product features.

One connector, every AI

Customer Health Score 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Customer Health Score 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

916ms average. Fast in production.

Customer Health Score is checked daily against the live service.

Daily averagePeak 1183ms
Oct 3Today
Fastest day
718ms
Slowest day
1183ms
14-day trend
Slowing+23%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 5 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 Customer Health Score, so you can see the experience inside your AI.

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

Customer Health Score Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_SNzf4XX4BqKpVfzd9BWUsGQTS6J4J8sKYPTAaFCk/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Customer Health Score capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "customer-health-score-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_SNzf4XX4BqKpVfzd9BWUsGQTS6J4J8sKYPTAaFCk/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 Customer Health Score in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Customer Health Score owners hand off.

This MCP is built for teams managing long term customer relationships and recurring revenue.

  • 01

    Customer Success Managers

    They use the AI to prioritize which accounts need immediate outreach based on health scores.

  • 02

    Account Managers

    They rely on expansion insights to identify timing for upsell conversations.

  • 03

    Revenue Operations

    They use the financial health and benchmarking capabilities to monitor cohort stability.

FAQ

Questions Customer Health Score owners ask.

  • 01

    What AI clients can I use with this MCP?

    You can connect this MCP to any compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 02

    Do I need to host the MCP myself?

    No. Vinkius hosts and manages the MCP for you, so it is ready to use immediately after you connect.

  • 03

    How does the health score get calculated?

    The score is generated by aggregating usage frequency, feature adoption, support engagement, NPS, and payment history.

  • 04

    Can I use this to find upsell opportunities?

    Yes. You can use the capability to identify customers with high health scores and high feature adoption who are ready for expansion.

  • 05

    Does this work with my existing customer data?

    This MCP is designed to pull from your customer lifecycle data to provide real time insights through your AI agent.

  • 06

    How is the health score calculated?

    The score is a weighted aggregate of usage frequency, feature adoption, support volume, NPS, and payment reliability, normalized from 0 to 100.

  • 07

    Can I compare a customer to their specific segment?

    Yes, you can use compare_to_segment_benchmarks to see how a customer's metrics deviate from the average of their specific tier, such as Enterprise or SMB.

  • 08

    What information is needed to check financial stability?

    You only need the customerId. You can optionally include a flag to penalize the score for recent late payments using assess_financial_health.

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