# StatHat MCP for AI Agents AI Agent Connect

> StatHat MCP lets you post counters, values, and batch updates to your analytics dashboard directly from your AI agent. Stop switching tabs to log data and start letting your agent handle the heavy lifting of metric tracking in real-time.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_9nbOVIYYenpFsByD28JMgOZQqElzpJceAGuRHFs0/ai-agent-connect
- **Tags:** metrics, statistics, tracking, monitoring, analytics

## Description

Imagine you're in the middle of a debugging session or a data analysis sprint. Usually, you'd have to jump out of your IDE or chat window, open a browser tab, and manually enter a metric like 'Error Count' or 'Latency'. With this Connector, your agent handles that for you. You just tell it what happened, and it updates your StatHat dashboard instantly. It's built to bridge the gap between your live work and your observability stack. Whether you're logging a new user signup or tracking a specific temperature reading, the agent does the heavy lifting. If you're looking for a way to keep your metrics updated without the friction of manual data entry, you'll find this is a core part of the Vinkius catalog. It turns your AI into a real-time data logger, making sure your stats are always current while you stay focused on the actual task at hand. You get a clean way to feed your dashboard without the headache of manual configuration or constant tab switching.

## Tools

### post_classic_counter
Post a counter stat using the StatHat Classic API. This lets you increment specific metrics with unique keys.

### post_classic_value
Post a value stat using the StatHat Classic API. Use this to send specific numerical data like response times.

### post_ez_stat
Creates the stat automatically if it doesn't exist. This is perfect for quick logging where you don't want to pre-define keys.

### post_json_stats
Pass a JSON array of objects containing stat/key, count/value, and optional t (timestamp). This lets you update multiple stats in one go for better efficiency.

## Prompt Examples

**Prompt:** 
```
Increment the 'Messages Processed' stat by 1 using StatHat EZ.
```

**Response:** 
```
I've successfully incremented the 'Messages Processed' counter. StatHat confirmed the update was received.

| Metric | Action | Status |
| :--- | :--- | :--- |
| Messages Processed | +1 | ✅ Success |
```

**Prompt:** 
```
Post a value of 45.5 to the stat key 'th789abc' using the classic API.
```

**Response:** 
```
The value **45.5** has been posted to stat key **'th789abc'**. Your dashboard should reflect this update immediately.
```

**Prompt:** 
```
Batch update these stats: 'errors' count 5 and 'latency' value 120.
```

**Response:** 
```
I've sent the batch update for 'errors' and 'latency' via the JSON API. Both metrics have been updated.

* **Errors**: 5
* **Latency**: 120
```

## Capabilities

### Automatic metric creation
Create new stats on the fly without having to pre-define keys.

### Precise counter increments
Add to specific metrics using unique keys for accurate tracking.

### Numerical value logging
Send specific numbers like response times or temperatures to your stats.

### Batch data updates
Send multiple statistics in a single request to save time.

### Real-time dashboard syncing
Keep your analytics updated instantly as your agent performs actions.

## Use Cases

### Logging errors during a hotfix
A developer asks their agent to log a specific error. The agent uses post_ez_stat to create the metric and update the count instantly.

### Updating business KPIs
An analyst tells their agent to update the daily signup count to 500. The agent uses post_classic_value to sync the data.

### Monitoring system health
A DevOps engineer wants to increment a 'Requests Handled' counter. The agent uses post_classic_counter to update the stat.

### Batch updating event logs
An agent processes five different events at once and uses post_json_stats to update all of them in a single request.

## Benefits

- No more manual dashboard entries because post_ez_stat creates metrics on the fly as you work.
- Faster data logging during development using post_classic_counter for specific keys you already have.
- Precise numerical tracking for variables like temperature or latency with post_classic_value.
- High-efficiency logging for large datasets using post_json_stats to batch updates into one request.
- Stay in your flow state by letting your agent handle the observability work instead of manual clicking.
- Keep your metrics accurate and updated with zero friction between your agent's actions and your dashboard.

## How It Works

The bottom line is your AI handles the data entry so you don't have to.

1. Connect your StatHat EZ Key or User Key to the Connector.
2. Give your agent a command like 'Log a signup' or 'Update the error count'.
3. Watch your StatHat dashboard update with the new data immediately.

## Frequently Asked Questions

**How does the StatHat MCP help with my app tracking?**
It lets your AI agent log metrics directly to your StatHat dashboard. Instead of you typing in numbers, your agent handles the updates as it performs tasks.

**Can I use StatHat MCP to create new stats automatically?**
Yes, the Connector includes a feature that creates a new stat automatically if it doesn't already exist, so you don't have to pre-define every single key.

**Is StatHat MCP good for high-volume data logging?**
Yes, it supports batch updates. You can send multiple statistics in a single request, which is much more efficient for logging large amounts of data at once.

**Do I need to be a developer to use the StatHat MCP?**
No, anyone who uses AI agents to help with work can use it. You just need your StatHat keys to let your agent start logging data for you.

**What kind of metrics can I track with StatHat MCP?**
You can track anything from simple counters, like signups or errors, to specific numerical values like response times, temperatures, or any other business KPI.

**Will using StatHat MCP slow down my AI agent?**
No, it's designed to be a fast bridge to your data. The updates happen in the background so your agent can keep working without delay.

**What is the difference between the EZ API and the Classic API?**
The EZ API (`post_ez_stat`) allows you to post stats using a simple human-readable name and your EZ Key. The Classic API (`post_classic_counter`, `post_classic_value`) requires a unique Stat Key for each specific metric, providing more granular control.

**Do I need to create a stat on the website before posting to it?**
No! When using the `post_ez_stat` tool, StatHat will automatically create the statistic for you if it doesn't already exist in your account.

**Can I send multiple metrics at once to save time?**
Yes, you can use the `post_json_stats` tool to send an array of multiple stat updates in a single network request.