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Vinkius

Silent Change Detector Connector for AI agents.

3 live capabilities

Prevent unauthorized code modifications and documentation drift

Live agent request Silent Change Detector / Connector

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AI Agent

Why people use Silent Change Detector

Stop silent code regressions with Silent Change Detector

With this MCP, that hunt ends. You set a baseline, let the agent work, and get a clear report on what actually happened. You move from guessing what the agent did to knowing exactly what changed.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a clear audit trail of every line of code an agent touches.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Catching accidental refactors

    You ask an agent to fix a single bug in a function, but it decides to rename five other variables.

  2. Real-world use case 02

    Preventing stale doc errors

    An agent updates a service to match an old API spec found in your docs.

  3. Real-world use case 03

    Verifying agent autonomy

    After a long autonomous run, use snapshot_state and detect_changes to audit every single file the agent touched.

Complete set · 3capabilities

The complete Silent Change Detector capability set.

These are the exact actions your AI can choose when you ask it to work with Silent Change Detector.

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through Silent Change Detector.

  1. 01 Capability

    Analyze documentation drift

    Checks if the agent modified code to match outdated or incorrect documentation. It helps prevent logic errors caused by stale docs.

  2. 02 Capability

    Detect changes

    Compares a previous snapshot against the current state to see if changes match your intent. It identifies unintended side effects in the code.

  3. 03 Capability

    Snapshot state

    Captures the current state of your workspace to create a baseline. This provides the reference point for all future comparisons.

Set up in minutes

One URL. Then ask Silent Change Detector to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Silent Change Detector from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_Oz4Zwzg7pWkrtNhDPEqtx4klHnEKYS6fUWy9wzTG/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Silent Change Detector, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Silent Change Detector for the conversation.

Where the request belongs

Work Silent Change Detector can move forward.

Built around the request

This is for developers and DevOps engineers who use autonomous agents to write or refactor code and need to ensure those agents don't introduce silent regressions.

01

Software Engineer

Verifying that an agent's refactoring didn't accidentally break a distant module.

02

DevOps Engineer

Auditing automated CI/CD agent runs to maintain code integrity.

03

QA Engineer

Checking if code changes align with the current technical specifications.

Bring your own AI

Change the model, client or framework. Keep Silent Change Detector connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Silent Change Detector.

The practical details behind the request, access and result.

How does Silent Change Detector prevent code errors?

It identifies unintended side effects by comparing a pre-task snapshot to the post-task state, ensuring the agent only touches what you asked it to.

Can Silent Change Detector catch errors caused by old documentation?

Yes, it specifically detects when an agent modifies code to match outdated or incorrect documentation, preventing logic drift.

Is Silent Change Detector useful for large refactors?

Absolutely. It's designed to help you audit large-scale changes to ensure the agent didn't drift away from the intended scope.

How do I use Silent Change Detector with my existing AI capabilities?

You connect it via Vinkius to any MCP-compatible client like Claude or Cursor, allowing your agent to use its capabilities directly.

Does Silent Change Detector work with any coding agent?

Yes, it works with any agent or client that supports the Model Context Protocol, giving you oversight regardless of the specific model you use.

What is a silent change?

A silent change is any modification categorized as unintended or any change that occurs without a corresponding instruction in the user's prompt.

How does the capability classify changes?

Changes are classified into three types: Intended (direct goal), Cascading (necessary side effects), and Unintended (unrequested refactors or rogue changes).

Which files are monitored?

The system only monitors files that are actively tracked by Git to avoid noise from build artifacts or local environment files.

One connection away

Give your agent a direct line to Silent Change Detector.

Connect Silent Change Detector once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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