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<pclass="kicker">User guide and technical reference</p>
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<h1id="doc-hero-title">Documentation for FiceCal + MCP</h1>
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<p>This document explains what each part of the calculator does, how the model derives outputs, and includes a consolidated glossary and MCP reference for assistant-driven workflows and automations.</p>
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<p>This document explains each FiceCal section, how the model derives outputs (including AI token economics), and how to operationalize the same logic via MCP for assistant-driven workflows and automations.</p>
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<divclass="hero-grid">
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<articleclass="hero-card">
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</article>
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<articleclass="hero-card">
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<h2>What is covered</h2>
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<p>Calculator sections, formulas, health logic, recommendations, share-state links, and MCP tools.</p>
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<p>Calculator sections, formulas, guided workflows, AI token economics, health logic, share-state links, and MCP tools.</p>
<li>Then use Group B controls for model tuning and Quantify Business Value inputs: CUD, target margin, budget, forecast assumptions, savings realization, and cost avoidance.</li>
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<li>Optionally add multi-technology costs (SaaS, licensing, private cloud, data center, labor) and scope domains for normalization.</li>
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<li>Review Group C auto-calculated outputs and Group E health/recommendation cards, then use the chart section to inspect cost/revenue/profit behavior across scale.</li>
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<li>Use Demo Healthy/Unhealthy in quick actions to validate expected KPI behavior before entering live portfolio assumptions.</li>
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</ol>
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<divclass="callout">
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Tip: Keep first-pass analysis simple: role -> two core inputs -> top outcomes. Expand "Guided path" and "More actions (advanced)" only after the initial readout is clear.
<li>Includes all active numeric inputs, selected tech domains, selected providers, and curve visibility toggles.</li>
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<li>This now includes Quantify Business Value controls (budget, forecast assumptions, savings realization, cost avoidance).</li>
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<li>Also includes AI token economics settings (pricing mode, rates, volumes, retry/premium mix, overhead, allocation policy).</li>
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<li>Also includes UI context: selected role (<code>ui</code>) and interface mode (<code>um</code>) so shared links reopen in the same decision lens.</li>
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<li>The URL contains an encoded <code>?state=</code> token.</li>
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<li>On load, the app decodes and validates this state, then recalculates outputs, chart, health, and recommendations.</li>
<p>The same FinOps model is available through a Model Context Protocol server so AI assistants can call the model directly in workflows, audits, and planning automations.</p>
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<p>The same FiceCal model is available through a Model Context Protocol server so AI assistants can call the model directly in workflows, audits, and planning automations.</p>
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<ul>
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<li>Transport: JSON-RPC over stdio in the current implementation.</li>
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<li>Core logic is shared between browser model behavior and MCP tool handlers for unit economics, health scoring, recommendation prioritization, and state encoding/decoding.</li>
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</ul>
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</section>
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<pclass="footer-note">This documentation page is intended as both a business user guide and technical handoff reference for teams integrating the FinOps calculator in human and assistant workflows.</p>
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<pclass="footer-note">This documentation page is intended as both a business user guide and technical handoff reference for teams integrating FiceCal in human and assistant workflows.</p>
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