Skip to content

Quick Start

Get from zero to a working financial model in four steps.

Sign up at app.bridgetown.builders. You’ll land on the Dashboard after login.

Use the sidebar and go to Models (/models) to view your projects.

A project is a versioned workspace that holds your models, data, and dashboards.

Bridge Town speaks the Model Context Protocol (MCP) — bring whichever agent you prefer. Claude.ai is the fastest path because it can connect over OAuth with no API token.

Claude.ai (recommended, no token):

  1. Click Customize+Add custom connector
  2. Paste https://app.bridgetown.builders/mcp
  3. Authorise the connection when prompted

See Connecting Claude.ai for full details.

For everything else, generate an API token from Connect AI at app.bridgetown.builders/connect and follow the relevant guide:

The MCP tool surface is identical across clients — only the transport configuration differs.

Open your agent and ask it to build a model:

“Create a 12-month revenue forecast model in my forecasts project. Use three product lines: SaaS, Services, and Marketplace. Start from January 2026.”

Your agent will:

  1. Call create_file to write the Python file
  2. Call run to execute it in the sandbox
  3. Return the results (stdout and output files)

You can then iterate:

“Add a 10% annual growth rate to the SaaS line”

Your agent reads the model, calls patch_file (or update_file) to apply the change, then runs run again.