FINANCE AGENTS & MCP

Give existing AI agents governed finance capabilities.

Connect enterprise AI agents and compatible AI clients to permissioned FinanceGPT financial capabilities instead of rebuilding financial tools inside each agent stack.

Answer-first: FinanceGPT Agents & MCP provide governed tool and agent integration surfaces that preserve workspace scope, tool permissions, evidence and separate Financial Actions authority.

Build with agents Explore MCP

FinanceGPT Developers

intent = "forecast liquidity"evidence = workspace.data()model = LQM.run(evidence)reasoning = QLM.compose(model)action = policy.review(reasoning)

APISDKsMCPLQMQLMAgents

Data & evidence→Quantitative model→Language orchestration→Governed tools

CAPABILITIES

What this workflow brings together.

The public page explains the outcome first, then keeps the underlying financial methods, evidence and review path visible.

MCP-compatible tool access

Finance agent integration

Workspace-scoped permissions

Tool-specific capability boundaries

Evidence-aware workflows

Agent execution observability

Separate Financial Actions authority

HOW IT WORKS

From intent to reviewable output.

FinanceGPT should make complex financial work easier to express without hiding the evidence, calculations or control points.

Choose the finance capability the agent needs.

Create a least-privilege Developer application.

Connect through the governed MCP or agent execution surface.

Test permitted and denied tool behavior.

Move to production only after separate entitlement and governance review.

FinanceGPT DeveloperConnect AI clients to governed financial capabilities.

Connect compatible AI clients and tools to governed FinanceGPT capabilities through MCP with explicit permission and financial action boundaries.

FinanceGPT DeveloperBuild agents around financial work, not generic autonomy.

Build financial agent experiences with FinanceGPT tools, evidence, models, workflows and explicit human and execution boundaries.

FinanceGPT DeveloperChoose the shortest path from idea to governed integration.

Start building on FinanceGPT by choosing an API, SDK, MCP, model, agent or integration surface and applying the platform governance model.

FinanceGPT DeveloperConnect financial systems without collapsing their control boundaries.

Connect applications, data sources and financial systems to FinanceGPT through governed integration patterns and workspace-aware controls.

FinanceGPT DeveloperTreat developer access and financial authority as separate controls.

Understand FinanceGPT developer controls for credentials, permissions, workspaces, model and tool lineage, integrations and Financial Actions authority.