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Connect Tool Call Optimizer to ChatGPT, Claude and Gemini

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. Shrink your token footprint without losing capability functionality.

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 Call Optimizer.

  1. 01

    Validate tool set

    This capability checks that your optimized toolset remains functionally complete. It ensures you haven't accidentally removed a dependency required for a task.

  2. 02

    Apply optimization strategy

    This capability executes specific logic to transform your toolset. You can choose to minimize descriptions, use selective inclusion, or apply parameter compression.

  3. 03

    Calculate optimization metrics

    This capability provides the mathematical results of your optimization. It quantifies exactly how many tokens you've saved.

Real work

What teams actually run

01

Large Toolset Management

When your agent has access to dozens of capabilities, use this to prune them down to the essential few for a specific task.

02

Cost Optimization

Use this to mathematically verify how much money you save by compressing capability parameters.

03

Context Window Preservation

When working with long conversations, use this to keep the capability definitions from pushing out important chat history.

04

Dependency Verification

Use this to ensure that a stripped-down toolset doesn't break your agent's ability to execute complex logic.

One connector, every AI

Tool Call Optimizer 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 Call Optimizer 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

863ms average. Fast in production.

Tool Call Optimizer is checked daily against the live service.

Daily averagePeak 1128ms
Oct 3Today
Fastest day
648ms
Slowest day
1128ms
14-day trend
Improving-24%

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 Call Optimizer, so you can see the experience inside your AI.

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

Tool Call Optimizer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_0oU233U6syGqnSdkGmRup5JfQHJrgUlamOhZxG6Z/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 Call Optimizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "tool-call-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_0oU233U6syGqnSdkGmRup5JfQHJrgUlamOhZxG6Z/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 Call Optimizer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Tool Call Optimizer owners hand off.

This is built for developers and engineers building agentic workflows that struggle with context limits.

  • 01

    AI Engineers

    They use this to manage the token overhead of large-scale agent deployments.

  • 02

    LLM Developers

    They use this to optimize the efficiency of capability-calling loops.

  • 03

    Workflow Automators

    They use this to keep their automated processes within context window constraints.

FAQ

Questions Tool Call Optimizer owners ask.

  • 01

    How does this MCP reduce token usage?

    It uses strategies like minimizing descriptions and compressing parameters to shrink the size of capability definitions sent to your agent.

  • 02

    Will my agent lose functionality after optimization?

    Not if you use the validation capability. The validation step ensures the optimized set still meets all logical constraints and dependencies.

  • 03

    Which AI clients can use this?

    Any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 04

    What is the 'context tax'?

    It is the amount of tokens consumed by capability definitions and metadata, which takes away from the space available for actual conversation and reasoning.

  • 05

    Can I see exactly how many tokens I'm saving?

    Yes, you can use the calculation capability to get specific mathematical results of the optimization process.

  • 06

    What is the primary purpose of this server?

    It helps reduce the token footprint of MCP capability definitions to improve LLM reasoning and reduce latency.

  • 07

    How can I verify if my optimized toolset is complete?

    You can use the validate_tool_set capability to check for missing requirements or broken dependencies.

  • 08

    What optimization strategies are available?

    The available strategies are minimize_descriptions, selective_inclusion, and parameter_compression.

Explore

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