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.
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.
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.
01-04
4 capabilities in this set.
Part of 4 available through AI Agentic Workflow Cost.
- 01
Calculate base task cost
Determines the baseline cost of a single successful execution without accounting for failures or retries
- 02
Calculate commercial margin
Evaluates the profitability of the workflow at a specific market price
- 03
Calculate reliability overhead
Calculates the additional cost incurred by the need to retry failed steps based on the workflow's error probability
- 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding 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.
- 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.
https://edge.vinkius.com/vk_preview_fEIW8xLi2jremqmTSWazalWY0krrTJtevo6f0pKM/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AI Agentic Workflow Cost capabilities are ready to use.
{
"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
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.
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