Layerz
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
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.
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.
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.
Three steps to a connected agent.
Add the Layerz MCP server
Add the connector to your Claude configuration.
Authenticate
Sign in via OAuth or paste your Layerz API key.
Call layerz_* tools
Your agent now has access to layerz_read, layerz_update_branch, layerz_get_model and more.
Install once in your agent of choice.
| Client | Auth | Install |
|---|---|---|
| Claude Code | OAuth | claude mcp add -t http layerz https://app.layerz.cc/mcp |
| Claude Cowork | OAuth | claude.ai → Settings → Connectors → Add custom connector |
| Claude Desktop | OAuth | Settings → Connectors → Add custom connector |
| OpenAI Codex | OAuth | codex mcp add layerz --url https://app.layerz.cc/mcp |
| ChatGPT | OAuth | Settings → Apps & Connectors → Add new connector |
| Mistral Le Chat | OAuth | Settings → Connectors → Add custom MCP connector |
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
Server Config
{
"mcpServers": {
"layerz": {
"url": "https://app.layerz.cc/mcp"
}
}
}