Cohort Retention Analytics Connector for AI agents.
4 live capabilities
Calculate user retention curves and growth benchmarks for your product.
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Why people use Cohort Retention Analytics
Cohort Retention Analytics for SaaS Growth Benchmarking
This Connector changes that by letting your agent do the math. You just feed it the raw numbers, and it handles the cohort decay curves and lifetime projections. You get a clear answer on product health without the manual overhead of building custom formulas for every new cohort.
What Vinkius changes
You get instant answers on user stickiness without doing any manual math.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Evaluating a new onboarding flow
A Growth Manager wants to see if a new flow improved Day 7 retention.
- Real-world use case 02
Benchmarking E-Commerce performance
A Product Lead needs to know if their 25% retention is actually good.
- Real-world use case 03
Projecting user lifetime
A founder wants to project revenue based on stickiness.
Complete set · 4capabilities
The complete Cohort Retention Analytics capability set.
These are the exact actions your AI can choose when you ask it to work with Cohort Retention Analytics.
01—04
4 capabilities in this set.
Part of 4 available through Cohort Retention Analytics.
- 01 Capability
Calculate retention curve
Generates a sequence of data points representing the decay of a cohort over time. This helps visualize the shape of your growth.
- 02 Capability
Calculate average lifetime
Determines the expected number of months a user stays active. This helps you project long-term value and churn trends.
- 03 Capability
Compare performance to benchmark
Compares your specific metric against the hardcoded industry standard for a chosen category. It gives your data immediate context.
- 04 Capability
Evaluate retention milestone
Checks the specific retention percentage for a user at a requested point in time. Use this to find exactly where users drop off.
Set up in minutes
One URL. Then ask Cohort Retention Analytics to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cohort Retention Analytics 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_0clZooXkip3nj1SVREyeX8jIZAq7iA6bQySCHT9q/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 Cohort Retention Analytics, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Cohort Retention Analytics for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_0clZooXkip3nj1SVREyeX8jIZAq7iA6bQySCHT9q/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 Cohort Retention Analytics URL.
- Step 03
Save and start
Save the connection and enable Cohort Retention Analytics in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"cohort-retention-analytics": {
"url": "https://edge.vinkius.com/vk_preview_0clZooXkip3nj1SVREyeX8jIZAq7iA6bQySCHT9q/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 Cohort Retention Analytics
Open Agent mode in chat and ask: "Using Cohort Retention Analytics, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"cohort-retention-analytics": {
"url": "https://edge.vinkius.com/vk_preview_0clZooXkip3nj1SVREyeX8jIZAq7iA6bQySCHT9q/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 Cohort Retention Analytics
Ask Copilot: "Using Cohort Retention Analytics, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"cohort-retention-analytics": {
"url": "https://edge.vinkius.com/vk_preview_0clZooXkip3nj1SVREyeX8jIZAq7iA6bQySCHT9q/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 Cohort Retention Analytics
Open Cascade and ask: "Using Cohort Retention Analytics, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"cohort-retention-analytics": {
"url": "https://edge.vinkius.com/vk_preview_0clZooXkip3nj1SVREyeX8jIZAq7iA6bQySCHT9q/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 Cohort Retention Analytics
Ask Cline: "Using Cohort Retention Analytics, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add cohort-retention-analytics --transport http "https://edge.vinkius.com/vk_preview_0clZooXkip3nj1SVREyeX8jIZAq7iA6bQySCHT9q/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 Cohort Retention Analytics
Ask Claude: "Using Cohort Retention Analytics, show me...". 4 tools are ready
Where the request belongs
Work Cohort Retention Analytics can move forward.
This is for growth managers and product leads who are tired of waiting for the data team to run manual SQL queries just to see if a new feature actually improved stickiness.
Growth Manager
Uses this on a Tuesday to see if the new onboarding flow actually moved the needle on Day 30 retention.
Product Manager
Checks if their current retention rates are actually competitive in the E-Commerce space compared to the rest of the market.
Data Analyst
Automates the repetitive task of benchmarking product health metrics against industry standards for monthly reports.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsRetention Curve Analyzer
Analyze cohort retention curves to identify stability versus churn and compare against industry benchmarks.
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.
Net Revenue Retention Calculator
Calculate and analyze NRR and GRR metrics across customer cohorts to evaluate subscription health.
ChartMogul
Understand your subscription metrics with MRR tracking, churn analysis, and cohort reports that reveal growth opportunities.
Baremetrics
SaaS financial analytics. audit MRR, churn, LTV, and customer subscriptions via AI.
Bring your own AI
Change the model, client or framework. Keep Cohort Retention Analytics 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 Cohort Retention Analytics.
The practical details behind the request, access and result.
Can Cohort Retention Analytics help me see where users drop off?
Yes. It allows you to check specific retention percentages at any point in time, making it easy to identify exactly which month or milestone sees the biggest churn.
Does Cohort Retention Analytics work for my gaming app?
Yes. The Connector includes hardcoded benchmarks specifically for the Gaming industry, so you can see how your stickiness compares to other titles.
How do I use Cohort Retention Analytics to see my user lifetime?
You just provide your agent with your retention rates, and it will calculate the expected number of months a user typically stays active for you.
Can Cohort Retention Analytics compare my SaaS to others?
Yes, it has a specific benchmark for SaaS that helps you determine if your growth metrics are hitting industry standards.
Can I use Cohort Retention Analytics with Cursor?
Yes, you can connect this Connector to Cursor or any other compatible client through the Vinkius platform to start analyzing your data.
What kind of data do I need to give Cohort Retention Analytics?
You need to provide a sequence of retention rates (like monthly percentages) for a specific cohort of users.
How do I calculate the retention curve?
Use the calculate_retention_curve capability by providing an array of retention rates where the first element is 1.0 (representing 100% retention at Month 0).
How can I check if my SaaS retention is good?
Use the compare_performance_to_benchmark capability. Pass 'SaaS' as the product category and your observed metric as the actual value to see if it is 'Above Benchmark' or 'At Risk'.
What does average lifetime represent in this capability?
The calculate_average_lifetime capability calculates the expected number of months a user remains active by summing all retention rates provided in your input array.
One connection away
Give your agent a direct line to Cohort Retention Analytics.
Connect Cohort Retention Analytics once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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