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Connect Task Completion Enforcer Prover 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. Force your AI to actually finish the job.

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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Task Completion Enforcer Prover.

  1. 01

    Validate task completion

    This capability forces your AI to prove it finished a task by mapping requirements to specific file paths and line numbers. It identifies gaps, placeholders, and scope drift to ensure no requirement is left unaddressed.

Real work

What teams actually run

01

API Development

Ensure every requested endpoint, validation rule, and test case is actually implemented.

02

Documentation Updates

Verify that code changes are reflected in the documentation as requested.

03

Refactoring Tasks

Confirm that refactoring didn't accidentally drop existing functionality or requirements.

04

Complex Scripting

Make sure multi-step automation scripts don't stop halfway through due to premature completion.

Automate a task

Put Task Completion Enforcer Prover 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

Task Completion Enforcer Prover 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 Task Completion Enforcer Prover 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

925ms average. Fast in production.

Task Completion Enforcer Prover is checked daily against the live service.

Daily averagePeak 1026ms
Oct 3Today
Fastest day
770ms
Slowest day
1026ms
14-day trend
Stable+2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 Task Completion Enforcer Prover, so you can see the experience inside your AI.

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

Task Completion Enforcer Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_TRZuombSa31k5jscX1KCJ089zhMtfMmLCTAbBgKK/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 — Task Completion Enforcer Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "task-completion-enforcer-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_TRZuombSa31k5jscX1KCJ089zhMtfMmLCTAbBgKK/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 Task Completion Enforcer Prover in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Task Completion Enforcer Prover owners hand off.

This MCP is for technical users who need high-reliability outputs from AI agents during complex workflows.

  • 01

    Software Engineers

    Ensuring code generation includes all requested endpoints, tests, and documentation.

  • 02

    DevOps Engineers

    Verifying that configuration changes and deployment scripts meet all specified requirements.

  • 03

    QA Automation Engineers

    Using the capability to ensure test coverage matches the original test plan.

FAQ

Questions Task Completion Enforcer Prover owners ask.

  • 01

    What is Requirement Amnesia?

    It is when an AI forgets parts of your original request mid-task, delivering only a portion of what you asked for.

  • 02

    How does this MCP stop placeholders?

    The capability identifies comments like TODO, FIXME, or TBD as failures, forcing the agent to replace them with real code before it can finish.

  • 03

    Can I use this with Cursor or Windsurf?

    Yes, this MCP is compatible with any MCP-compatible client including Cursor, Windsurf, and VS Code.

  • 04

    Does this capability do the work for the AI?

    No, it does not write code. It forces the agent to be honest about whether the code it wrote actually meets your requirements.

  • 05

    What happens if the verification fails?

    If the capability detects a gap or a placeholder, it rejects the completion and instructs the agent to fix the specific issue and try again.

  • 06

    Why do LLMs forget requirements?

    Autoregressive generation allocates decreasing attention to earlier tokens as output grows. A 10-step task at token 200 competes with 2,000 tokens of generated output for attention. The model literally loses track of requirement #7 while implementing requirement #3. The fix: force a re-read of ALL requirements before declaring completion.

  • 07

    What counts as 'completion evidence'?

    Not 'I implemented the function.' Evidence means: 'Requirement 1: POST /users endpoint at src/routes/users.ts lines 15-42, validates email/name/role via Zod schema, returns 201 with user object.' File path, line number, specific behavior. If you cannot point to the exact artifact, it is not done.

  • 08

    What happens when gaps are found?

    The LLM MUST close them immediately. not later, not in a follow-up. Do the remaining work NOW. Then call this capability AGAIN to verify the gaps are actually closed. The loop continues until EVERY requirement has concrete evidence. 'I will do it later' is rejected. 'I just did it, here is the evidence' is accepted.

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