Product

One protocol. All your data.

Actuals from 300+ tools, already normalized. Your rolling forecast, already modeled. One protocol every AI can speak.

Don't switch tools. Just ask. Fuel has the answer.

see in action

One protocol. All your financial data.

Actuals from 300+ tools, already normalized. Your rolling forecast, already modeled. One protocol every AI can speak.

Don't switch tools. Just ask. Fuel has the answer.

Features
What Fuel MCP unlocks

1. Live access to actuals

Revenue, gross margin, cash flow,  burn, runway, LTV:CAC — pulled directly from Fuel's normalized data engine. No stale exports.

2. Forecast-aware queries

Your rolling forecast, assumptions, and lock mechanics are exposed too. Ask what-if
questions against the real model, not a copy of it.

3. Multi-entity by default

Compare or consolidate across legal entities
in a single query. Permission scoping built in.

4. Works wherever you do

Claude Desktop, mobile, Slack bots, internal agents. One protocol, every surface.

Revenue, gross margin, cash flow,  burn, runway, LTV:CAC — pulled directly from Fuel's normalized data engine. No stale exports.

Your rolling forecast, assumptions, and lock mechanics are exposed too. Ask what-if
questions against the real model, not a copy of it.

Compare or consolidate across legal entities
in a single query. Permission scoping built in.

Claude Desktop, mobile, Slack bots, internal agents. One protocol, every surface.

Use cases

Five things your day
looks like with MCP

1. Board prep in 15 minutes,
not 3 hours

"Pull revenue growth, gross margin, and runway for the last six months."
Claude returns a structured summary, sourced from Fuel, ready for the deck.

2. Real-time scenario thinking

"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.

3. Custom analysis,
built in seconds — not sprints

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.

4. Goal-driven scenario planning

“If we increase marketing budgets by 30% next quarter, how would that change our unit economics and profitability”.

5. Mid-meeting answers

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."

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How it works

(01) Connect Fuel MCP

one server, scoped to your entities and metrics 

(02) Point your LLM at it

‍Claude, ChatGPT, or any MCP client

(03) Ask & Trust The Answer

Ask in natural language, anywhere you work. Every number is sourced from the same Fuel data your team already maintains

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FAQ

Have questions?

BASICS

What is MCP?

Model Context Protocol — an open standard that lets LLMs query external data sources securely. Fuel MCP exposes your financials through it.

Setup

Do I need to change anything in Fuel?

No. MCP sits on top of your existing Fuel setup. Same data, same logic, new access layer.

COMPATIBILITY

Which AI tools work with it?

Claude (Desktop, mobile, Code), ChatGPT, and any MCP-compatible client. One server, every LLM.

Security

Is my data secure?

Permission scoping is built in. You control which entities, metrics, and time ranges are queryable — and by whom.

WORKFLOW

Does it replace dashboards?

No, it complements them. Dashboards stay where they are. MCP gives you a second way in — through conversation.

Contact

Let’s talk

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.

Book a demo