Use Enterprise Adoption Analytics with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Monitor and forecast software adoption metrics for enterprise deployments.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete Enterprise Adoption Analytics capability set.
These are the exact actions your AI can choose when you ask it to work with Enterprise Adoption Analytics.
01-04
4 capabilities in this set.
Part of 4 available through Enterprise Adoption Analytics.
- 01
Assess training impact
Evaluates how training completion correlates with user adoption and readiness
- 02
Calculate engagement depth
Analyzes how deeply users are interacting with the software beyond simple logins
- 03
Get adoption summary
Provides a high-level snapshot of the current adoption status for a specific deployment
- 04
Predict adoption trajectory
Forecasts future adoption trends based on current velocity and change management factors
One connector, every AI
Enterprise Adoption Analytics 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Enterprise Adoption Analytics 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
909ms average. Fast in production.
Enterprise Adoption Analytics is checked daily against the live service.
- Fastest day
- 808ms
- Slowest day
- 1056ms
- 14-day trend
- Slowing+31%
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 Adoption Analytics, so you can see the experience inside your AI.
It does not authenticate your account with Enterprise Adoption Analytics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Enterprise Adoption Analytics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_tLxrlIrgPhbra9dA2DwJRHAGvBJuB1zpnsfvyRqR/mcpClaude 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 Adoption Analytics capabilities are ready to use.
{
"mcpServers": {
"enterprise-user-adoption-analytics-mcp": {
"url": "https://edge.vinkius.com/vk_preview_tLxrlIrgPhbra9dA2DwJRHAGvBJuB1zpnsfvyRqR/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? link.label
FAQ
Questions Enterprise Adoption Analytics owners ask.
- 01
How do I check the current health of my deployment?
You can use the get_adoption_summary capability to retrieve the current adoption rate, velocity, and health score for any specific deployment ID.
- 02
Can I predict when we will reach our target adoption rate?
Yes, the predict_adoption_trajectory capability allows you to forecast future adoption rates and estimate the number of days remaining until your target is met.
- 03
How is user engagement measured?
Engagement is measured using calculate_engagement_depth, which analyzes the stickiness ratio and feature adoption rates to provide a comprehensive engagement score.
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