What can this MCP do for my software rollout?

It allows your AI agent to monitor adoption rates, measure user engagement depth, and forecast future adoption trends.

How does it measure training effectiveness?

It uses the assess_training_impact capability to see how training completion correlates with user readiness and adoption.

Can I predict when a deployment will be successful?

Yes, the predict_adoption_trajectory capability uses current velocity to forecast future trends and milestones.

Which AI clients can use this MCP?

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

Do I need to host this myself?

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

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.

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.

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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Connect Enterprise User Adoption Analytics to your AI

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. Track software rollout success and user engagement in real time.

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 Adoption Analytics.

01
Assess training impact
This capability evaluates how training completion correlates with actual user adoption and readiness.
02
Calculate engagement depth
Use this to analyze how deeply users are interacting with software features beyond basic logins.
03
Get adoption summary
This capability provides a high-level snapshot of the current adoption status for a specific deployment.
04
Predict adoption trajectory
This capability forecasts future adoption trends based on current velocity and change management factors.

Real work

What teams actually run

Rollout Health Checks

Check the status of a new software deployment to ensure it meets health score targets.

Training Effectiveness

Verify if completed training modules are actually resulting in higher user readiness.

Predictive Planning

Estimate how many days remain until a specific deployment reaches its adoption goal.

User Stickiness Audits

Determine if users are performing deep interactions or just performing superficial logins.

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.

Building 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

871ms average. Fast in production.

Enterprise Adoption Analytics is checked daily against the live service.

Daily averagePeak 1206ms

Oct 3Today

Fastest day: 739ms
Slowest day: 1206ms
14-day trend: Stable+3%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_tLxrlIrgPhbra9dA2DwJRHAGvBJuB1zpnsfvyRqR/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 Adoption Analytics capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "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? Set up Enterprise Adoption Analytics in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Enterprise Adoption Analytics owners hand off.

This MCP is built for leaders managing large-scale software transitions.

01
IT Project Managers
They hand off deployment tracking and milestone forecasting to their AI agent.
02
Change Management Specialists
They use the AI to measure the impact of training on user behavior.
03
Software Deployment Leads
They rely on the AI to monitor real-time health scores during rollouts.

FAQ

Questions Enterprise Adoption Analytics owners ask.

01
What can this MCP do for my software rollout?
It allows your AI agent to monitor adoption rates, measure user engagement depth, and forecast future adoption trends.
02
How does it measure training effectiveness?
It uses the assess_training_impact capability to see how training completion correlates with user readiness and adoption.
03
Can I predict when a deployment will be successful?
Yes, the predict_adoption_trajectory capability uses current velocity to forecast future trends and milestones.
04
Which AI clients can use this MCP?
You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.
05
Do I need to host this myself?
No, Vinkius hosts and manages the MCP so it is ready to use immediately after you connect.
06
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.
07
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.
08
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.

Explore

More in Enterprise

Connect Enterprise Adoption Analytics 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

Assess training impact

Calculate engagement depth

Get adoption summary

Predict adoption trajectory

What teams actually run

Rollout Health Checks

Training Effectiveness

Predictive Planning

User Stickiness Audits

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

Enterprise Adoption Analytics Connector

Claude Desktop

IT Project Managers

Change Management Specialists

Software Deployment Leads

What can this MCP do for my software rollout?

How does it measure training effectiveness?

Can I predict when a deployment will be successful?

Which AI clients can use this MCP?

Do I need to host this myself?

How do I check the current health of my deployment?

Can I predict when we will reach our target adoption rate?

How is user engagement measured?

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