With The Agicap MCP Your Treasury is Now Inside Claude: Query It, Act on It, Automate It

Finance teams know AI can streamline their operations and make their data more reliable. But the promises rarely translate into real workflows, and it comes down to one hard question: where can AI safely connect to your data and act on it?

A general-purpose assistant knows nothing about your cash. It only knows what it was trained on and whatever someone is willing to paste into it. That's why AI has stalled at the door of finance: the safe version is blind to your numbers, the useful version means exporting live financial data into a chatbot, and no CFO should accept either.

Agicap AI already lives inside the platform: categorising transactions, updating forecasts, and surfacing anomalies before you notice them. The Agicap MCP Server takes that intelligence one step further: it brings your live treasury context into Claude. Your finance team — and the teams around it — can now query, act on, and automate treasury work in plain language, without leaving the tools they already use.

And it does so under the same rules as the platform itself. Through Claude, a user can only see and do what their Agicap permissions already allow. No new access, no shadow data, no exceptions.

One example. A group controller, an hour before a CFO call, types into Claude: "Run the March variance across all entities — I need to understand the gap." Seconds later: a −£312K deviation (−4.2%), decomposed into a UK supplier-payment timing effect and a German collections shortfall, each explained in plain language. No more manual exports and data rework, no more spreadsheet stitching to get the correct figure. The number and the *why* arrive together.

What is the Agicap MCP?

MCP — Model Context Protocol — is an open standard developed by Anthropic that lets AI assistants connect securely to the systems where data actually lives, instead of relying on what the model was trained on or what someone pasted into a prompt.

The Agicap MCP Server applies that standard to your treasury. It shares governed access to your live cash positions, forecasts, AP/AR data, KPIs and financial data, scoped to each user's role and entities. The assistant queries Agicap directly and receives accurate, source-traceable answers. Your data stays inside Agicap's infrastructure throughout.

The MCP is a secure window onto your numbers, not a pipe that hands them away. Agicap never stores or sells your data, and never trains models on it. Whether your AI provider trains on the conversation is governed by your own plan and settings with that provider, not by Agicap.

What you can do with it

You decide how far it goes. An admin sets the connection to read-only or read-and-write, matching your organisation's needs. Some teams want answers only; others want to act.

In a single conversation, you can move across three levels:

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• Ask — current cash position by entity and currency, overdue invoices, KPIs, debt maturities, variance analysis, ...

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• Act — import historical or expected transactions, build and populate what-if scenarios, set forecasts, create and update categorisation rules, …

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• Automate — recurring briefings, board-pack refreshes, and self-service answers for teams outside finance, ...

Because Claude reasons over the data it retrieves, the output isn't limited to raw figures. Ask for a comparison table, a stacked-area chart of monthly cash flow, or a board-ready summary of Q4 in PDF — and cross-reference it with a Google Sheet or a document you've uploaded in the same session.

None of this works without one thing underneath it: clean data.

Most AI initiatives stall there with stitched-together exports or numbers that are five days old. Agicap is the layer that removes that risk, continuously aggregating, reconciling, and structuring your cash flow data across every bank, ERP, finance tool, and entity. An assistant is only as good as the data beneath it, and that data is Agicap's job.

Use cases, in practice

These are the kinds of exchanges the MCP makes possible. Build them — or your own version — straight into Claude.

1. Check your real-time cash position

"How much cash do I have right now across all entities, in EUR? Then break it down per bank account for subsidiary ABC"

2. Build and compare a what-if scenario

"Create an optimistic scenario from my main one — customer inflows +2%, COGS +1%. Import these revised six-month forecasts into it, then compare the cashflow statement against my baseline."

3. Import transactions in bulk

"Here's a CSV of 300 historical transactions for our EUR operating account — import them in append mode."

Claude confirms each line as updated or skipped, so one bad row never blocks the rest.

4. Automate the Monday cash briefing

"Every Monday at 8 a.m., post a cash summary to the CEO's Slack: positions, week-over-week change, and anything that needs attention."

5. Let non-finance teams serve themselves

A sales rep negotiating payment terms, or a procurement lead weighing a discount against extended terms, can ask their own questions — governed by your treasury policy — without turning Finance into a helpdesk.

Security and governance

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• Certified and compliant. Agicap is ISO 27001:2022 certified — the international standard for information security management — and fully compliant with the European Union's GDPR.

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• Never shared, never trained on. Your financial data is never sold, never shared with third parties, and never used to train AI models by Agicap. However, what a connected AI provider does with the conversation is governed by your plan and settings with them, which is why - for treasury data - we recommend connecting through a business or enterprise tier.

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• A human approves every action. The connector takes no autonomous action: it retrieves, analyses, and proposes, but never moves money or alters a record on its own. Every write is confirmed by a human user before it commits, and read-only access can be deployed across the organisation with zero exposure on the write side. Through the MCP, a user can only ever see and do what their Agicap permissions already allow — scoped by role and entity, exactly as in the platform.

What's in it for the CFO and the finance department

The point isn't to hand finance to a machine. It's to give your team a faster, better-grounded way to work, with the human firmly in control. You keep every validation right you have today; the MCP simply removes the friction between a question and what comes next.

Concretely, the finance department gets:

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• Faster processes and real automation: recurring reports and briefings run on schedule through Claude, instead of consuming a Monday morning.

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• More accurate analysis: Agicap's treasury data blends with your other tools' data in the same conversation, so insight isn't trapped in one silo.

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• Autonomy for non-finance teams: Sales, Procurement, and leadership get the treasury context they need where they already work, and Finance stops being the company helpdesk.

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• A flexible foundation for agentic workflows: one secure, governed gateway your teams can build on as their use of AI matures.

Cash performance has one owner and a hundred contributors. The MCP is how you put the right numbers in front of all of them.

See it on your own data

Connect your treasury data to Claude and watch a real prompt turn into a real action.