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Connect Agent Handoff Protocol Calculator 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. Predict system stability and context degradation before deployment.

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 Handoff Protocol Calculator.

  1. 01

    Detect circular handoff

  2. 02

    Analyze handoff chain

  3. 03

    Calculate handoff metrics

Real work

What teams actually run

01

Customer Service Automation

When a chatbot hands off a user to a human agent, use this MCP to calculate the context transfer size and predict information loss.

02

Financial Compliance Review

Model a chain of handoffs involving multiple compliance agents to ensure cumulative degradation remains below acceptable thresholds.

03

Workflow Orchestration

Test a complex workflow that moves from data ingestion to analysis to reporting, checking for circular dependencies.

04

Game AI Development

Analyze how context degrades when multiple specialized AI characters interact in a sequence of events.

One connector, every AI

Agent Handoff Protocol Calculator 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 Handoff Protocol Calculator 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

921ms average. Fast in production.

Agent Handoff Protocol Calculator is checked daily against the live service.

Daily averagePeak 1165ms
Oct 3Today
Fastest day
761ms
Slowest day
1165ms
14-day trend
Slowing+10%

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 Handoff Protocol Calculator, so you can see the experience inside your AI.

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

Agent Handoff Protocol Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_XfHKuAn1l78Wj1tBOJywIP8DChcQOfEvFSY81grK/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 Handoff Protocol Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-handoff-protocol-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XfHKuAn1l78Wj1tBOJywIP8DChcQOfEvFSY81grK/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 Handoff Protocol Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Agent Handoff Protocol Calculator owners hand off.

This MCP is built for developers and engineers who design complex, multi-agent systems. If your application relies on passing tasks or context between several specialized AI components, you need this capability. It gives you the metrics to prove your system is stable and reliable.

  • 01

    AI Engineer

    Use it to test the robustness of agent pipelines and measure context decay.

  • 02

    System Architect

    Model the performance impact of handoffs before committing to a full build.

  • 03

    ML Developer

    Quantify the information loss when integrating multiple specialized models.

FAQ

Questions Agent Handoff Protocol Calculator owners ask.

  • 01

    What is 'context degradation' in this context?

    Context degradation refers to the loss of original information quality when an agent hands off a task. This MCP quantifies that loss, which is critical for maintaining conversation health.

  • 02

    Can this MCP handle multiple handoffs?

    Yes. You use the analyze_handoff_chain capability to evaluate cumulative degradation across multiple sequential steps, giving you a holistic view of the process.

  • 03

    What kind of data do I need to provide?

    You need to provide specific parameters like source token counts, target window sizes, and compression rates to accurately calculate the handoff metrics.

  • 04

    Is this for general AI chat bots?

    No. This is specialized for developers building complex, multi-agent systems where one AI component passes work to another. It models the protocol of the handoff, not just the chat content.

  • 05

    Does it prevent infinite loops?

    Yes. The detect_circular_handoff capability explicitly checks an agent sequence to identify and flag any repeating or circular calls.

  • 06

    How is context loss calculated?

    Context loss is calculated as the difference between the original information and the transferred information ratio, representing the reduction in quality due to compression.

  • 07

    What is a circular handoff?

    A circular handoff occurs when agents pass control in a loop (e.g., Agent A to Agent B, then back to Agent A), which can be detected using detect_circular_handoff.

  • 08

    How can I prevent context degradation?

    You can monitor degradation using analyze_handoff_chain and ensure you stay within the recommended limit of 3 handoffs per conversation.

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