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Connect Token Counter and Budget 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. Stop budget overruns by enforcing strict token limits on your agents.

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 Token Counter and Budget Enforcer.

  1. 01

    Estimate tokens

    This capability calculates an estimated token count for any text string you provide. Use it to preview costs before sending large prompts to your AI client.

  2. 02

    Track and enforce usage

    This capability updates cumulative usage for a specific agent and conversation while checking against your set limits. It acts as the primary gatekeeper for your budget.

  3. 03

    Get usage summary

    This capability retrieves current cumulative token totals. It lets you see how much has been spent without consuming any new tokens.

Real work

What teams actually run

01

Multi-Agent Orchestration

Ensure one agent in a swarm doesn't consume the entire budget during a complex task.

02

Cost-Aware Coding

Let your agent estimate the token cost of a large file before it processes it.

03

User Quota Management

Set limits on how many tokens a specific user or conversation can consume.

04

Automated Testing

Monitor the token consumption of automated agentic workflows to keep testing costs stable.

One connector, every AI

Token Counter and Budget 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 Token Counter and Budget 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

869ms average. Fast in production.

Token Counter and Budget Enforcer is checked daily against the live service.

Daily averagePeak 937ms
Oct 3Today
Fastest day
718ms
Slowest day
937ms
14-day trend
Slowing+15%

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 Token Counter and Budget Enforcer, so you can see the experience inside your AI.

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

Token Counter and Budget Enforcer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Fntor1z8zuXrJce6K2HdextT8uXupjEA6h8NsXAn/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 — Token Counter and Budget Enforcer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "token-counter-and-budget-enforcer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Fntor1z8zuXrJce6K2HdextT8uXupjEA6h8NsXAn/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 Token Counter and Budget Enforcer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Token Counter and Budget Enforcer owners hand off.

This MCP is built for developers and teams running autonomous agents that need guardrails.

  • 01

    AI Engineers

    Building multi-agent systems that require strict resource management.

  • 02

    DevOps Engineers

    Monitoring and controlling the operational costs of LLM integrations.

  • 03

    Software Architects

    Designing predictable workflows for agentic applications.

FAQ

Questions Token Counter and Budget Enforcer owners ask.

  • 01

    How does this MCP estimate tokens?

    It uses deterministic BPE approximation to calculate token counts for both text and code.

  • 02

    Can I set different limits for different agents?

    Yes, the MCP tracks cumulative usage per agent, allowing you to enforce unique limits for each one.

  • 03

    Does checking the usage summary cost tokens?

    No, the get_usage_summary capability retrieves current totals without consuming any new tokens.

  • 04

    How does it prevent budget overruns?

    The track_and_enforce_usage capability updates usage and checks it against your set limits to stop spending once a cap is reached.

  • 05

    Which AI clients can use this MCP?

    Any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 06

    How are tokens estimated?

    Tokens are estimated using a deterministic character-to-token ratio: approximately 4 characters per token for English text and 3.5 characters per token for code blocks.

  • 07

    Can I set different limits for agents and conversations?

    Yes. You can use track_and_enforce_usage to apply specific limits for both the unique agent identifier and the specific conversation identifier.

  • 08

    How do I check my current usage?

    You can use the get_usage_summary capability to retrieve the cumulative token totals for a specific agent or conversation without consuming any new tokens.

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