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Connect Chore Quality Resolution Plan to ChatGPT and Claude

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. Settle task disputes with objective, data-driven remediation plans.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Chore Resolution Engine.

  1. 01

    Analyze chore gap

    This capability finds the specific differences between your task standards and the actual work performed.

  2. 02

    Assign responsibility

    This capability allocates accountability for gaps based on the facts of the situation.

  3. 03

    Determine remediation plan

    This capability suggests the most efficient way to fix any identified gaps in task quality.

  4. 04

    Generate resolution package

    This capability compiles all findings into a final, neutral set of documentation and communication.

Real work

What teams actually run

01

Household Chore Disputes

Settle arguments about whether a room was cleaned according to the agreed rules.

02

Quality Control Audits

Compare completed work orders against standard operating procedures to find errors.

03

Accountability Tracking

Determine if a missed task was due to time constraints or a failure to follow instructions.

04

Standardization Checks

Verify that new team members are meeting the established quality benchmarks.

One connector, every AI

Chore Resolution Engine 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 Chore Resolution Engine 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

967ms average. Fast in production.

Chore Resolution Engine is checked daily against the live service.

Daily averagePeak 1042ms
Oct 14Today
Fastest day
827ms
Slowest day
1042ms
14-day trend
Improving-7%

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 Chore Resolution Engine, so you can see the experience inside your AI.

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

Chore Resolution Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_vlygVry1UzSJQEChoLtRWDbX7bArf4AHOByCHGXB/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 — Chore Resolution Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "chore-quality-resolution-plan-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_vlygVry1UzSJQEChoLtRWDbX7bArf4AHOByCHGXB/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 Chore Resolution Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Chore Resolution Engine owners hand off.

This is for anyone managing shared responsibilities or quality standards where disagreements occur.

  • 01

    Operations Managers

    They hand off quality control disputes to the AI to maintain objective standards.

  • 02

    Household Managers

    They use it to settle disagreements about chores and task completion.

  • 03

    Project Leads

    They use the capability to document why a specific deliverable failed to meet requirements.

FAQ

Questions Chore Resolution Engine owners ask.

  • 01

    What does this MCP do?

    It provides a structured way to resolve disagreements about completed tasks by comparing facts against standards.

  • 02

    Which AI clients can I use with this MCP?

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

  • 03

    How does it handle responsibility?

    It uses the assign_responsibility capability to allocate accountability for identified gaps fairly.

  • 04

    Can it suggest how to fix a mistake?

    Yes, the determine_remediation_plan capability suggests the most efficient way to fix identified gaps.

  • 05

    Is the output biased?

    No, the capability is designed to produce neutral reports and findings based on the data provided.

  • 06

    How does the capability identify a gap?

    The analyze_chore_gap capability identifies a gap if any observed fact contradicts the provided task standard or any prior agreements made before the task began.

  • 07

    Can I choose how to fix the issue?

    Yes, you can specify repair preferences (like 're-do' or 'patch') in the determine_remediation_plan capability to guide the suggested strategy.

  • 08

    How is responsibility assigned?

    Responsibility is assigned via assign_responsibility, which considers the gaps, the time constraints provided, and any prior agreements to ensure a fair outcome.

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