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Connect Tool Permission Boundary Enforcer 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. Keep your AI agents within safe operational limits.

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 Tool Permission Boundary Enforcer.

  1. 01

    Check permission

    This capability checks if a specific operation is allowed under your current boundary rules. It's the primary way your agent verifies access before attempting an action.

  2. 02

    List boundaries

    Use this capability to pull a list of all active permission boundaries. It's how you inspect the current ruleset governing your agent's capabilities.

  3. 03

    Validate resource pattern

    This capability tests a resource string, like a URL or a file path, against your defined regex or exact match rules. It lets you verify if a specific target fits within the allowed constraints.

Real work

What teams actually run

01

File System Protection

Restrict a file-writing capability so it can only touch a specific subdirectory.

02

Network Access Control

Limit a network client to only communicate with a specific set of approved API endpoints.

03

Agent Auditing

Use the inspection capabilities to verify that your security constraints are working as intended.

04

Safe Capability Testing

Validate new resource paths against existing rules before deploying them to an agent.

One connector, every AI

Tool Permission Boundary Enforcer 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 Tool Permission Boundary Enforcer 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

822ms average. Fast in production.

Tool Permission Boundary Enforcer is checked daily against the live service.

Daily averagePeak 1106ms
Oct 3Today
Fastest day
658ms
Slowest day
1106ms
14-day trend
Improving-8%

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 Tool Permission Boundary Enforcer, so you can see the experience inside your AI.

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

Tool Permission Boundary Enforcer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_GVlIoKIoNH1tQbGGKEnb5jAQ4QFvgGdB2BZv3GPD/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 — Tool Permission Boundary Enforcer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "tool-permission-boundary-enforcer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_GVlIoKIoNH1tQbGGKEnb5jAQ4QFvgGdB2BZv3GPD/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 Tool Permission Boundary Enforcer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Tool Permission Boundary Enforcer owners hand off.

This MCP is built for developers and security engineers who need to deploy autonomous agents without losing control over system resources.

  • 01

    AI Engineers

    They hand off the task of defining the permission matrix and constraint patterns.

  • 02

    Security Operations

    They use the capability to audit and enforce boundaries on agentic workflows.

  • 03

    DevOps Engineers

    They implement these boundaries to protect local file systems and network environments.

FAQ

Questions Tool Permission Boundary Enforcer owners ask.

  • 01

    How does this MCP prevent an agent from accessing unauthorized files?

    It uses the validate_resource_pattern capability to check file paths against your defined regex constraints before the agent can proceed.

  • 02

    Can I see what rules are currently active?

    Yes, you can use the list_boundaries capability to retrieve and inspect all active permission boundaries.

  • 03

    Does this work with any AI client?

    It works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 04

    Is the permission enforcement deterministic?

    Yes, it uses a strict permission matrix to ensure that capability execution follows your defined rules every time.

  • 05

    What happens if an agent tries to use a capability outside its boundary?

    The check_permission capability will identify that the action is not permitted, and the execution will be blocked.

  • 06

    How does the enforcer prevent unauthorized capability access?

    It uses check_permission to validate every requested operation against a predefined permission matrix. If the operation or the target resource does not match the allowed patterns, the request is blocked.

  • 07

    Can I see what capabilities are currently restricted?

    Yes, you can use the list_boundaries capability to retrieve the current active permission boundaries and inspect the allowed operations and patterns.

  • 08

    How do I test a path before using it?

    You can use validate_resource_pattern to test a specific resource string against the regex or exact match rules of a capability/operation pair without actually executing the capability.

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