Layerz MCP server

Layerz MCP

Financial models your AI agent builds and edits: items, formulas, dependencies, branches. Exports to Excel.

Layerz is a structured spreadsheet for financial models, ready for AI. This is its remote MCP server. Claude, ChatGPT, Codex or any MCP client works on the model structure itself, not on loose cells, so formulas hold when the agent changes an assumption and the model is still there next session.

• Endpoint: https://layerz.cc/mcp (streamable HTTP)
• Auth: OAuth 2.1 with PKCE and dynamic client registration, or a Layerz API key
• Docs: layerz.cc/for-agents · llms.txt
• Registry: io.github.layerzlabs/layerz on the official MCP Registry

The server is hosted. There is nothing to install or run locally: this repository holds the setup instructions and the metadata MCP directories read.

Why

Ask an AI to build a financial model and you get a workbook in 30 seconds. Then one assumption changes: links break, values get hardcoded, and the next session starts from scratch.

Layerz keeps the structure of a model (items, formulas with named references, the dependency graph, timelines) apart from its data (values, scenarios, actuals). The agent edits that structure through MCP tools, every change is versioned with a readable summary, and Excel is an export format: clean, standard .xlsx with live formulas, the file you send to people who never see the agent.

Setup

One click

Confirm, sign in to Layerz, done.

Cursor

Or add it to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "layerz": { "url": "https://layerz.cc/mcp" }
  }
}

Cursor opens the Layerz sign-in the first time a tool is called.

By hand

Claude Code

claude mcp add -t http layerz https://layerz.cc/mcp

Then run /mcp to authenticate in the browser.

OpenAI Codex

codex mcp add layerz --url https://layerz.cc/mcp
codex mcp login layerz

Claude, without the link: Settings → Connectors → Add custom connector → https://layerz.cc/mcp

ChatGPT, without the directory: Settings → Security and login → Developer mode, then Plugins → + → https://layerz.cc/mcp

Mistral Le Chat: Settings → Connectors → Add custom MCP connector → https://layerz.cc/mcp

OpenCode: add to opencode.json, then run opencode mcp auth layerz

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "layerz": {
      "type": "remote",
      "url": "https://layerz.cc/mcp",
      "oauth": {}
    }
  }
}

Grok: grok.com/connectors → New Connector → Custom → https://layerz.cc/mcp

Antigravity CLI (formerly Gemini CLI): add to mcp_config.json

{
  "mcpServers": {
    "layerz": { "serverUrl": "https://layerz.cc/mcp" }
  }
}

Any other MCP client: point it at https://layerz.cc/mcp over streamable HTTP. Clients without OAuth can send a Layerz API key, created in the Layerz app, as a bearer token.

What the agent can do

29 tools, grouped by job. Read-only tools are annotated as such, so clients can run them without asking.

Shortened. The full README is on GitHub.