An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect StatHat to ChatGPT, Claude and Gemini

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. Turn your AI agent into a direct bridge to your observability stack.

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 StatHat.

  1. 01

    Post classic counter

    This capability uses the StatHat Classic API to post a counter stat. It is best for incrementing specific metrics using unique Stat Keys.

  2. 02

    Post classic value

    This capability sends numerical value stats through the StatHat Classic API. Use it to track metrics like response times or temperatures.

  3. 03

    Post ez stat

    This capability uses the StatHat EZ API to post stats using just a name. It automatically creates the metric if it doesn't already exist.

  4. 04

    Post JSON stats

    This capability leverages the StatHat JSON API to send multiple statistics at once. You can pass an array of objects containing stats, keys, and timestamps.

Real work

What teams actually run

01

Application Monitoring

Log error counts or latency spikes as you debug code in your IDE.

02

Business KPI Tracking

Update user signup counts or transaction totals via a chat interface.

03

Experiment Logging

Record specific numerical results from a test run directly to StatHat.

04

System Health Checks

Track service availability or event frequencies during deployment.

Automate a task

Put StatHat to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

StatHat 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put StatHat 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

964ms average. Fast in production.

StatHat is checked daily against the live service.

Daily averagePeak 1087ms
Oct 3Today
Fastest day
871ms
Slowest day
1087ms
14-day trend
Stable-4%

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 StatHat, so you can see the experience inside your AI.

It does not authenticate your account with StatHat. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

StatHat Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_9nbOVIYYenpFsByD28JMgOZQqElzpJceAGuRHFs0/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — StatHat capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "stathat-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9nbOVIYYenpFsByD28JMgOZQqElzpJceAGuRHFs0/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 StatHat in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work StatHat owners hand off.

This MCP is built for technical professionals who need to bridge the gap between their development environment and their monitoring capabilities.

  • 01

    Developers

    Log function execution counts or performance metrics directly from an IDE.

  • 02

    Data Analysts

    Update business KPIs or experimental results using natural language.

  • 03

    DevOps Engineers

    Monitor system health and event counts without switching to a dashboard.

FAQ

Questions StatHat owners ask.

  • 01

    How do I start using StatHat with my AI client?

    You subscribe to the MCP on Vinkius and enter your StatHat EZ Key or User Key. Once connected, you can start logging metrics immediately in Claude, Cursor, or other compatible clients.

  • 02

    Do I need to create metrics in the StatHat dashboard first?

    No. If you use the post_ez_stat capability, the MCP will automatically create the metric for you if it doesn't already exist.

  • 03

    Can I send multiple stats at once?

    Yes. You can use the post_json_stats capability to send a JSON array of multiple statistics in a single request.

  • 04

    What kind of data can I track?

    You can track simple counters, specific numerical values like response times, or batch updates containing multiple data points.

  • 05

    Which AI clients are compatible?

    This MCP works with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 06

    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.

  • 07

    Do I need to create a stat on the website before posting to it?

    No! When using the post_ez_stat capability, StatHat will automatically create the statistic for you if it doesn't already exist in your account.

  • 08

    Can I send multiple metrics at once to save time?

    Yes, you can use the post_json_stats capability to send an array of multiple stat updates in a single network request.

Explore

More in Developer Tools

Suggestions

Connect StatHat to Claude, Cursor, ChatGPT & more