Retention Curve Analyzer Connector for AI agents.
3 live capabilities
Track cohort stickiness and compare your retention against industry benchmarks
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Why people use Retention Curve Analyzer
Retention Curve Analyzer for Cohort Stickiness Analysis
With this Connector, you just feed the raw numbers to your agent. It handles the heavy lifting of identifying whether the curve is flattening or declining. You get a straight answer on your retention health without the manual math.
What Vinkius changes
You get a clear, data-backed answer on whether your user retention is actually healthy or needs immediate attention.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Validating a new onboarding flow
A PM isn't sure if a new login flow worked.
- Real-world use case 02
Reporting to stakeholders
A growth lead needs to report to the board.
- Real-world use case 03
Diagnosing a drop in active users
A game dev sees a drop in active users and has the agent classify the curve pattern to see if it's a standard decline or a new churn risk.
Complete set · 3capabilities
The complete Retention Curve Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with Retention Curve Analyzer.
01—03
3 capabilities in this set.
Part of 3 available through Retention Curve Analyzer.
- 01 Capability
Verify benchmark compliance
Compares your D1, D7, D30, and D90 metrics against industry standards. Use this to see how you stack up against SaaS or gaming averages.
- 02 Capability
Analyze retention trend
Tells you if your retention sequence is flattening or declining. Use this to see if user behavior is stabilizing over time.
- 03 Capability
Classify curve pattern
Categorizes the specific shape of your retention curve. This helps you identify Smiling Curves versus high-churn patterns.
Set up in minutes
One URL. Then ask Retention Curve Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Retention Curve Analyzer from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ytt4XiNsbgtSylAxvrVj9SJRjpf3TqMNN7YDCZfU/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Retention Curve Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Retention Curve Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ytt4XiNsbgtSylAxvrVj9SJRjpf3TqMNN7YDCZfU/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Retention Curve Analyzer URL.
- Step 03
Save and start
Save the connection and enable Retention Curve Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"retention-curve-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_ytt4XiNsbgtSylAxvrVj9SJRjpf3TqMNN7YDCZfU/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Retention Curve Analyzer
Open Agent mode in chat and ask: "Using Retention Curve Analyzer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"retention-curve-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_ytt4XiNsbgtSylAxvrVj9SJRjpf3TqMNN7YDCZfU/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Retention Curve Analyzer
Ask Copilot: "Using Retention Curve Analyzer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"retention-curve-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_ytt4XiNsbgtSylAxvrVj9SJRjpf3TqMNN7YDCZfU/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Retention Curve Analyzer
Open Cascade and ask: "Using Retention Curve Analyzer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"retention-curve-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_ytt4XiNsbgtSylAxvrVj9SJRjpf3TqMNN7YDCZfU/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Retention Curve Analyzer
Ask Cline: "Using Retention Curve Analyzer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add retention-curve-analyzer --transport http "https://edge.vinkius.com/vk_preview_ytt4XiNsbgtSylAxvrVj9SJRjpf3TqMNN7YDCZfU/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Retention Curve Analyzer
Ask Claude: "Using Retention Curve Analyzer, show me...". 3 tools are ready
Where the request belongs
Work Retention Curve Analyzer can move forward.
Product managers who are tired of manual cohort analysis and growth engineers who need to know if their retention numbers actually mean something.
Product Manager
Analyzes cohort behavior on Tuesday afternoons to decide which features to prioritize.
Growth Engineer
Checks if a new onboarding flow actually moved the needle on D7 retention.
Data Analyst
Compares company metrics against SaaS benchmarks to report to stakeholders.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Cohort Retention Analytics
Analyze cohort retention curves, average user lifetime, and benchmark performance against industry standards.
Growth Accounting Framework
Analyze user movement, retention patterns, and growth efficiency using the Growth Accounting Framework.
Churn Rate Calculator
Calculate Customer Churn Rate, Revenue Churn Rate, and Net Revenue Retention (NRR) to instantly assess account health against industry benchmarks.
Retention Risk Scorer
Predict employee turnover risk and quantify the financial impact of attrition.
ChartMogul
Understand your subscription metrics with MRR tracking, churn analysis, and cohort reports that reveal growth opportunities.
LTV Cohort Calculator
Calculate Customer Lifetime Value (LTV) for any acquisition cohort, projecting future revenue trends.
Bring your own AI
Change the model, client or framework. Keep Retention Curve Analyzer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Retention Curve Analyzer.
The practical details behind the request, access and result.
What does the Retention Curve Analyzer do for my product?
It analyzes your user retention sequences to tell you if your growth is healthy or if you're losing people too fast. It helps you identify whether your curve is stabilizing or in a tailspin.
Can I use Retention Curve Analyzer to see if my users are sticking around?
Yes, it specifically looks for patterns in your data to tell you if your users are finding enough value to stay or if they are likely to churn.
How does the Retention Curve Analyzer help with churn?
It identifies declining trends in your cohorts, allowing you to spot high-risk groups before they drop off completely.
Can Retention Curve Analyzer compare my data to other companies?
It compares your actual metrics against hardcoded industry standards for SaaS, gaming, and e-commerce so you can see how you stack up.
What kind of industries does Retention Curve Analyzer support?
It includes specific benchmarks for SaaS, Mobile Gaming, and E-commerce to give you a relevant reality check for your specific market.
How do I know if my retention is actually healthy?
The capability classifies your curve pattern and checks it against industry benchmarks to give you a clear status report on your growth health.
How does the capability determine if a curve is flattening?
The analyze_retention_trend capability examines the change between consecutive values in your retention sequence. If the decrease between recent intervals falls below a specified stability threshold, it is marked as Flattening.
What categories are supported for benchmarking?
The capability currently supports benchmarks for SaaS, Mobile Gaming, and E-commerce.
Can I provide my own stability threshold?
Yes, when using analyze_retention_trend, you can optionally provide a stabilityThreshold to define the maximum allowable drop between intervals for a trend to be considered stable.
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