Fuel MCP turns the financials and forecasts already inside
Fuel into a queryable layer for Claude, ChatGPT, or any MCP —compatible AI. No exports. No dashboards. No "let me get back
to you with the number."
You sit in a tough zone — multi-entity complexity, board-level expectations, and a finance team too lean to handle every ad-hoc request. And increasingly, the first place you open in the morning isn't a dashboard. It's Claude.
Legacy FP&A platforms are betting they can hold the ground with closed dashboards and prettier UIs. We're betting the opposite way.
Fuel MCP exposes your clean, structured, AI-ready financial data — actuals, rolling forecast, scenarios, business context — directly inside Claude or any LLM you use. No exports, copy-paste or prompt engineering your own P&L. You query your financials in the workflow you already live in.
"Pull revenue growth, gross margin, and runway for the last six months."
Claude returns a structured summary, sourced from Fuel, ready for the deck.
"If we hire 2 salespeople and 1 engineer in Q3, what happens to runway and EBITDA?"
Claude queries the live forecast, models the delta, returns the answer in 30 seconds.
Your VP of Sales wants a revenue dashboard cut by segment. Marketing wants unit economics by channel. Product wants payback by cohort. Pull the data through Fuel MCP, drop in the prompt, and get a tailored analysis or shareable view in seconds — then send it on. The work that used to mean a Loom, a spreadsheet, and three Slack threads now happens in one conversation.
“If we increase marketing budgets by 30% next quarter, how would that change our unit economics and profitability”.
On a call or in a Slack channel, someone asks about what’s the margin for customer X or “How much did we pay that contractor?”. You open Claude on your phone. Five seconds. Done. No more "I'll follow up with the exact number."
one server, scoped to your entities and metrics
Claude, ChatGPT, or any MCP client
Ask in natural language, anywhere you work. Every number is sourced from the same Fuel data your team already maintains
Set up a monthly digest agent: on the 1st, it pulls MRR, net burn, cash flow, and gross margin from Fuel, drafts a one-page memo, and posts to Slack. Set up a variance watchdog: it pings you only when an expense category exceeds the plan by more than 15%.
The work that used to fill your Mondays now lives in a pipeline. You review and send.
Your actuals from QBO, NetSuite, Stripe, Hubspot or other 300+ tools — already normalized. Your rolling forecast — already modeled, with lock mechanics and assumptions. One protocol that any AI tool can speak.
You don't switch tools. You just ask questions. And the answers are grounded in the same data Fuel has been quietly maintaining all along.
Model Context Protocol — an open standard that lets LLMs query external data sources securely. Fuel MCP exposes your financials through it.
No. MCP sits on top of your existing Fuel setup. Same data, same logic, new access layer.
Claude (Desktop, mobile, Code), ChatGPT, and any MCP-compatible client. One server, every LLM.
Permission scoping is built in. You control which entities, metrics, and time ranges are queryable — and by whom.
No, it complements them. Dashboards stay where they are. MCP gives you a second way in — through conversation.
Book a demo to see how Fuel MCP fits into your stack. Bring a question you'd normally ask your FP&A lead — we'll show you the answer in real time.
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