MCP plugin for financial modeling

Connect your AI agent
to a structured financial model.

Layerz is an MCP server your Claude agent calls natively. Read model structure, update assumptions, compute projections, export Excel — without re-explaining context every session.

MCP-compatible · BYOA · Export to standard .xlsx

The problem with AI + finance today

Claude is powerful — the layer underneath isn't.

You use Claude. You build financial analyses in chat. The next session, you start over.

There's no persistent model structure your agent can navigate. You paste numbers, re-explain assumptions, rebuild context.

What the MCP plugin gives your agent

A model your agent can actually navigate.

Your agent navigates the model. You review the outputs. The structure persists across sessions.

Read model structure

Variable names, types, formulas, dependencies.

Query computed values

Revenue, EBITDA, cash flow, any output at any period.

Update assumptions

Change a growth rate or headcount number, all outputs recompute automatically.

Export Excel

Trigger a clean .xlsx from your agent session.

BYOA — Bring your own agent

Your prompts, your data, your environment.

Layerz does not capture your Claude session. Connect your own Claude Max subscription or API key. Layerz is the structured backend, not the middleware.

Supported: Claude (MCP), any MCP-compatible agent, Claude Code.

How to connect

Three steps to a connected agent.

1

Add the Layerz MCP server

Add the connector to your Claude configuration.

2

Authenticate

Sign in via OAuth or paste your Layerz API key.

3

Call layerz_* tools

Your agent now has access to layerz_read, layerz_update_layer, layerz_get_model and more.

Full MCP reference and llms.txt

MCP clients

Install once in your agent of choice.

ClientAuthInstall
Claude CodeOAuthclaude mcp add -t http layerz https://app.layerz.cc/mcp
Claude CoworkOAuthclaude.ai → Settings → Connectors → Add custom connector
Claude DesktopOAuthSettings → Connectors → Add custom connector
OpenAI CodexOAuthcodex mcp add layerz --url https://app.layerz.cc/mcp
ChatGPTOAuthSettings → Apps & Connectors → Add new connector

Full install guide on GitHub

What you can build

From prompt to model to .xlsx.

Auto-populated budget models

Your agent fills a model structure from a prompt — assumptions first, then projections. Change one variable, all outputs update. No re-run.

Persistent unit economics

Define CAC, LTV, payback period once. Query across Claude sessions without rebuilding context.

Multi-scenario analysis

Run base / upside / downside on a shared model structure. Export any scenario to .xlsx — your colleagues get a clean file, they never see the agent.

Build the structure once. Query it from every session.

MCP-compatible · BYOA · Export to standard .xlsx