Bridge Town
Bridge Town is an MCP-native, git-versioned financial modeling platform for FP&A teams and finance leaders. AI agents use Bridge Town tools to create projects, write Python model files, run models in isolated cloud sandboxes, query data, write outputs to Google Sheets, create dashboards, branch scenarios, and collaborate with teammates.
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Overview
Build financial models as code. Cloud execution, GSheets MCP, version control, collaboration. This repository contains the public documentation and registry metadata for the hosted Bridge Town MCP connector. The production server implementation is proprietary and is operated by Bridge Town. - Website: <https://bridgetown.builders> - App: <https://app.bridgetown.builders> - Documentation: <https://docs.bridgetown.builders> - MCP endpoint: https://api.bridgetown.builders/mcp - Transport: MCP Streamable HTTP - Authentication: OAuth for hosted connector flows; bearer tokens for clients that need manual configuration
Installation
Installation instructions are not available yet.
Configuration
{
"mcpServers": {
"bridge-town": {
"transport": {
"type": "http",
"url": "https://api.bridgetown.builders/mcp",
"headers": {
"Authorization": "Bearer btk_YOUR_TOKEN"
}
}Capabilities
- Create and manage financial modeling projects
Use `search_tools` to discover project tools, then create projects, write Python model files, and run them in isolated cloud sandboxes.
- Write model outputs to Google Sheets
Push results from model runs directly into Google Sheets that the user has authorized through Bridge Town's scoped access.
- Branch scenarios and collaborate
Create branches for alternative assumptions, open pull requests, and share work with teammates using version-controlled models.
- Discover tools and skills for FP&A tasks
Use `search_tools` and `get_tool` to navigate the 75-tool surface, or retrieve skill templates via `get_skill` and `skills://` resources.
Tags
- finance
- spreadsheet
- google-sheets
- cloud-infrastructure
- collaboration
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