ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Agentic Workflow Cost with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Know the true cost before you deploy your workflow.

Included with plan

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

Complete set · 4 capabilities

The complete AI Agentic Workflow Cost capability set.

These are the exact actions your AI can choose when you ask it to work with AI Agentic Workflow Cost.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Agentic Workflow Cost.

  1. 01

    Calculate base task cost

    Determines the baseline cost of a single successful execution without accounting for failures or retries

  2. 02

    Calculate commercial margin

    Evaluates the profitability of the workflow at a specific market price

  3. 03

    Calculate reliability overhead

    Calculates the additional cost incurred by the need to retry failed steps based on the workflow's error probability

  4. 04

    Get workflow efficiency metrics

    Provides a high-level summary of the economic efficiency of the agent's design

One connector, every AI

AI Agentic Workflow Cost 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.

Building your own app? The connector is yours to use.

You don't need a client to put AI Agentic Workflow Cost 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

1044ms average. Fast in production.

AI Agentic Workflow Cost is checked daily against the live service.

Daily averagePeak 1126ms
Sep 5Today
Fastest day
955ms
Slowest day
1126ms
14-day trend
Improving-15%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 AI Agentic Workflow Cost, so you can see the experience inside your AI.

It does not authenticate your account with AI Agentic Workflow Cost. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Agentic Workflow Cost Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_fEIW8xLi2jremqmTSWazalWY0krrTJtevo6f0pKM/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 — AI Agentic Workflow Cost capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-agentic-workflow-cost-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_fEIW8xLi2jremqmTSWazalWY0krrTJtevo6f0pKM/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? link.label

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Agentic Workflow Cost owners hand off.

This MCP is built for technical teams and product managers who build or manage autonomous AI systems. If your job involves calculating the true cost of an agentic workflow, this is for you. You hand off the complex math of failure rates and margins to the AI, letting you focus on the architecture.

  • 01

    ML Engineer

    Use this to model the total cost of complex, multi-step agent workflows, including failure overhead.

  • 02

    Product Manager

    Use this to validate if your AI product's expected cost allows for a healthy commercial margin.

  • 03

    FinOps Analyst

    Use this to predict the long-term operational expenditure (OpEx) of an autonomous agent system.

FAQ

Questions AI Agentic Workflow Cost owners ask.

  • 01

    Does this MCP account for failure rates?

    Yes. It calculates the reliability overhead, which is the additional cost you incur because the workflow might fail and need to retry. This is crucial for accurate cost modeling.

  • 02

    What kind of inputs does it need?

    You need to provide specific metrics like the number of steps, the cost per LLM call, the capability cost, and the expected failure probability.

  • 03

    Can I use this for profitability analysis?

    Absolutely. You can use the calculate commercial margin capability to compare your total expected cost against a specific market price to see your gross margin.

  • 04

    Is this just for simple API calls?

    No. This MCP is designed for complex, autonomous agentic workflows. It models the entire economic lifecycle, not just the initial API request.