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Connect Agent Tool Selection Router 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. Build reliable, predictable, and efficient AI workflows.

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 Agent Tool Selection Router.

  1. 01

    Validate tool constraints

    Ensure proposed capability selection does not violate operational constraints

  2. 02

    Calculate tool scores

    Calculate deterministic scores for available capabilities based on intent and environment

  3. 03

    Plan tool execution path

    Determine the sequence of actions, including potential fallbacks and capability chaining

Real work

What teams actually run

01

Multi-Step Data Analysis

An agent needs to first fetch data, then process it, and finally write a report. This MCP ensures the capabilities run in the correct, validated order.

02

Complex Troubleshooting

When an agent fails, this MCP can plan a fallback path, testing alternative capabilities until a solution is found.

03

System Integration Testing

You can test if a set of capabilities conflict with each other before deploying them, using the constraint validation capability.

04

Intent-Driven Routing

Instead of relying on keyword matching, the agent scores available capabilities against the user's true intent for better accuracy.

One connector, every AI

Agent Tool Selection Router 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 Agent Tool Selection Router 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

893ms average. Fast in production.

Agent Tool Selection Router is checked daily against the live service.

Daily averagePeak 1059ms
Oct 3Today
Fastest day
722ms
Slowest day
1059ms
14-day trend
Slowing+13%

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 Agent Tool Selection Router, so you can see the experience inside your AI.

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

Agent Tool Selection Router Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_5nAr6z7655ZjUGx7gkrfCmg1lyu7RhPaeM4XQPbB/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 — Agent Tool Selection Router capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-tool-selection-router-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_5nAr6z7655ZjUGx7gkrfCmg1lyu7RhPaeM4XQPbB/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 Agent Tool Selection Router in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Agent Tool Selection Router owners hand off.

This MCP is essential for developers and architects building complex, multi-step AI systems. If your agent needs to perform reliable, predictable actions across multiple services, this is the layer you need. It moves your automation from 'it might work' to 'it will work.'

  • 01

    AI Developer

    Use this to build reliable agent logic that selects and sequences capabilities automatically.

  • 02

    Automation Architect

    Implement deterministic routing to ensure complex workflows execute without failure or guesswork.

  • 03

    Prompt Engineer

    Improve agent reliability by giving your prompts a structured, scoring decision engine.

FAQ

Questions Agent Tool Selection Router owners ask.

  • 01

    Does this MCP replace my need for prompt engineering?

    No. This MCP enhances your prompts. It provides the reliable, deterministic layer that ensures the capabilities your prompts call actually execute correctly and in the right order.

  • 02

    What is the difference between this and simple capability calling?

    Simple capability calling is often probabilistic. This MCP is deterministic. It doesn't just suggest a capability; it calculates the optimal path, checks for conflicts, and builds the full sequence, making it much more reliable for production use.

  • 03

    Can I use this with my existing AI client?

    Yes. Since this MCP adheres to the Model Context Protocol (MCP), you connect it once from any compatible client, including Cursor, VS Code, Claude Desktop, and Windsurf.

  • 04

    What happens if the capabilities I select conflict?

    The validate_tool_constraints capability catches this. It checks for operational rules, like mutual exclusivity, and stops the execution before a conflict can occur.

  • 05

    How does the capability selection scoring work?

    The engine calculates a score by multiplying intent confidence, historical success rate, the inverse of normalized latency, and the available rate limit headroom.

  • 06

    Can the router handle capability chaining?

    Yes, the plan_tool_execution_path capability identifies capability composition opportunities where the output of one capability can serve as the input for another.

  • 07

    How are rate limits managed?

    The router calculates rate limit headroom. If a capability's capacity is exhausted, its score drops to zero, and the engine flags a rate limit error.

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