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Connect Execution Trace Recorder and Validator 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. Stop treating your agentic workflows like a black box.

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.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Execution Trace Recorder and Validator.

  1. 01

    Validate trace integrity

    This capability checks a collection of recorded steps to ensure the entire chain is unbroken and logically consistent.

  2. 02

    Detect anomalies

    Use this to analyze a trace for non-deterministic behavior or significant timing outliers.

  3. 03

    Record trace step

    This capability records a single discrete execution event within your agent's lifecycle.

Real work

What teams actually run

01

Debugging Broken Chains

When an agent fails halfway through a task, use trace validation to see exactly where the logic broke.

02

Latency Monitoring

Identify specific steps in a long agentic sequence that are causing performance bottlenecks.

03

Ensuring Determinism

Detect when an agent produces different results for the same input by flagging anomalies.

04

Workflow Auditing

Maintain a verifiable record of every discrete event an agent performs during its lifecycle.

One connector, every AI

Execution Trace Recorder and Validator 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 Execution Trace Recorder and Validator 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

817ms average. Fast in production.

Execution Trace Recorder and Validator is checked daily against the live service.

Daily averagePeak 1097ms
Oct 3Today
Fastest day
726ms
Slowest day
1097ms
14-day trend
Slowing+7%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Execution Trace Recorder and Validator, so you can see the experience inside your AI.

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

Execution Trace Recorder and Validator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_iBO3rtvRsXssLIRfIP245rdN2pxgLQ5KyruVMczE/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 — Execution Trace Recorder and Validator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "execution-trace-recorder-and-validator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_iBO3rtvRsXssLIRfIP245rdN2pxgLQ5KyruVMczE/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 Execution Trace Recorder and Validator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Execution Trace Recorder and Validator owners hand off.

This is built for developers and engineers who build autonomous agentic workflows that require high reliability.

  • 01

    AI Engineers

    They use it to debug why an agentic chain is failing or behaving inconsistently.

  • 02

    LLM Developers

    They rely on it to monitor the performance and latency of agentic loops.

  • 03

    DevOps Engineers

    They use the trace data to ensure agentic deployments remain deterministic.

FAQ

Questions Execution Trace Recorder and Validator owners ask.

  • 01

    How does this MCP ensure data integrity?

    It uses hash matching to verify that the output of one step correctly feeds into the next step in the chain.

  • 02

    Which AI clients can use this MCP?

    You can use it with any MCP-compatible client including Claude Desktop, Cursor, Windsurf, and VS Code.

  • 03

    What kind of anomalies can it detect?

    It identifies non-deterministic behavior and significant timing outliers in your agent's execution traces.

  • 04

    Do I need to host this myself?

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

  • 05

    Can I use this to debug latency issues?

    Yes, the detect_anomalies capability specifically looks for timing outliers in your execution traces.

  • 06

    How does this capability ensure trace integrity?

    It uses validate_trace_integrity to verify that the output hash of one step matches the input hash of the subsequent step, ensuring a continuous and unbroken chain.

  • 07

    What is a determinism anomaly?

    A determinism anomaly occurs when the same input hash results in different output hashes across different steps, which can be detected using detect_anomalies.

  • 08

    Can I use this with Claude Desktop?

    Yes, you can connect this MCP server to Claude Desktop, Cursor, VS Code, and other compatible clients via Vinkius Edge.

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