MCP For Claude Marketplace
AI Agentic Workflow Cost Calculator

AI Agentic Workflow Cost Calculator MCP Connector for Claude

A+

Calculate the financial economics of autonomous AI agent workflows.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a specialized suite of tools to model the economic impact of autonomous AI agents. It accounts for the non-deterministic nature of agentic workflows by calculating base costs, reliability overhead from retry loops, and commercial margins. Use calculate_base_task_cost to establish a baseline, calculate_reliability_overhead to factor in failure rates, and get_workflow_efficiency_metrics to evaluate the design's economic efficiency.

ai-agentscost-analysisllm-economicsworkflow-optimizationagentic-workflows

4 tools expose this connector's capabilities to your AI agent.

calculate_base_task_cost

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

calculate_commercial_margin

Evaluates the profitability of the workflow at a specific market price

calculate_reliability_overhead

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

get_workflow_efficiency_metrics

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

See how to talk to your AI agent using AI Agentic Workflow Cost Calculator.

Calculate the base cost for a workflow with 5 steps, 3 LLM calls per step, 2 tool calls per step, a reasoning depth of 1.5, LLM cost of 0.01 per unit, and tool cost of 0.005 per unit.

The base cost for this workflow is $0.475.

If my base cost is $0.50 and my failure rate is 20%, what is my total expected cost?

The total expected cost, including reliability overhead, is $0.60.

I charge $2.00 per task. If my total expected cost is $0.60, what is my margin?

Your gross margin is $1.40, which is a 70% margin percentage. The workflow is profitable.

The `calculate_reliability_overhead` tool uses the provided failure rate to estimate the additional cost incurred by retry loops required to reach a successful task completion.

Related Connectors

Workflow Convergence Verifier

Workflow Convergence Verifier MCP

3 tools Official

Monitors agentic workflows to detect stability, convergence, and infinite loops.

A+ View details →
Agent Loop Detector

Agent Loop Detector MCP

3 tools Official

Identifies infinite conversation cycles and deadlocks in agentic workflows.

A+ View details →
Agent Latency Pipeline Calculator

Agent Latency Pipeline Calculator MCP

3 tools Official

Model end-to-end latency, retry impacts, and SLA compliance for agentic workflows.

A+ View details →
Agent Error Propagation Tracker

Agent Error Propagation Tracker MCP

3 tools Official

Trace error chains and calculate system impact in multi-agent environments.

A+ View details →