# Dashboard overview

The **Dashboard Overview** is the central place to understand how your SaaS product is being used through **AI platforms and agents**.
It provides real-time insights into your **MCP server activity**, **connected AI platforms**, and **policy enforcement trends** — helping you measure adoption, usage, and control effectiveness at a glance.

![overview](/assets/overview.e1c8243e32d47cb6183e52525a0d550fcde1916cf4a54a101130558e6cac912f.b925d42d.png)

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## What the dashboard shows

The dashboard aggregates analytics across all your tenants and MCP tools.
It’s divided into several key sections:

| Section | Description |
|  --- | --- |
| **AI Platform Adoption** | Shows which AI platforms (ChatGPT, Claude, Gemini, or custom MCPs) are connected to your MCP server and how often they’re used. |
| **Active AI Users** | Displays how many users are actively using your product through AI agents over time. |
| **Most Used Tools** | Highlights the top tools (API endpoints) invoked by AI agents. Great for identifying high-value automations and common use cases. |
| **Policy Enforcement Summary** | Visual breakdown of how policies were applied — showing counts of **Allowed**, **Denied**, **Approval Required**, and **Step-up Auth** actions. |
| **Recent Activity** | Timeline of recent MCP calls, policy triggers, and approval events for quick context. |


## AI platform adoption

This section helps you see where your customers are engaging from.
You can track:

- Which **AI platforms** (ChatGPT, Claude, Gemini, etc.) your customers use most
- How adoption changes over time
- Which connected platforms drive the most tool activity


Use this data to identify which integrations bring the most engagement and where to invest in enablement or documentation.

## Active AI users

This metric shows how many unique users are leveraging AI to interact with your product.

- Track adoption growth week over week
- Identify spikes related to specific campaigns or new tool releases
- Filter by tenant or region to understand usage distribution


## Most used tools

This table shows the most frequently executed tools exposed through your MCP server.

- Helps identify the **most valuable API capabilities** for AI automation
- Surfaces underused tools that might need better descriptions or metadata
- Links directly to each tool for quick editing or disabling


## Policy enforcement summary

This chart visualizes how your security and governance rules are performing.
You can see the ratio of:

- **Allowed** — actions that met all conditions
- **Denied** — requests blocked by a policy
- **Approval Required** — actions awaiting or recently approved
- **Step-up Auth** — actions that required extra authentication


Use this to verify that your policies are effective and to quickly detect anomalies (e.g., sudden increases in denials or approvals).

## Recent activity

The activity feed provides a chronological record of MCP actions — including tool invocations, approvals, and configuration changes.

This makes it easy to:

- Understand who performed what action and when
- Spot patterns or unusual activity
- Jump directly into detailed logs from the **Monitoring** screen


## Related topics

- [Monitoring & Logs](/agent-link/monitoring/overview)
- [Access Control](/agent-link/access-control/overview)
- [Policies & Guardrails](/agent-link/policies/overview)
- [Approval Flows](/agent-link/policies/approval-flows)