Bridge Town

Name: Bridge Town
Author: Bridge-Town

@Bridge-Town

Repository Homepage

About Bridge Town

Public documentation and registry metadata for the Bridge Town hosted MCP connector.

#finance #gsheets #financial-model #mcp-server #sandbox #database-access #collaboration

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "bridge-town": {
      "transportType": "streamable-http",
      "url": "https://api.bridgetown.builders/mcp"
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is 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.

How to use Bridge Town?

For Claude.ai, navigate to Customize → Add custom connector and paste https://api.bridgetown.builders/mcp, then approve the OAuth prompt. Generic MCP clients supporting Streamable HTTP can configure a server with the endpoint and a bearer token (btk_); for clients that require stdio, use the provided shim with npx github:Bridge-Town/financial-modeling-mcp and set the BRIDGE_TOWN_API_TOKEN environment variable.

Key features of Bridge Town

MCP-native financial modeling with 75+ tools
Git-versioned projects and scenario branching
Cloud execution in isolated, no‑outbound‑network sandboxes
Google Sheets integration with drive.file OAuth scope
OAuth and bearer‑token authentication for any MCP client
MCP resources for health, skills, and templates

Use cases of Bridge Town

Build and run financial models as code using AI agents
Branch and merge scenarios for what‑if analysis
Write model outputs directly to Google Sheets
Collaborate on models with teammates via pull requests
Automate FP&A workflows with skill templates and prompts

FAQ from Bridge Town

Does Bridge Town run its own AI model?

No. Bridge Town does not run a server‑side LLM or proxy your prompts. The AI client and model provider handle the conversation; Bridge Town only receives structured MCP tool calls.

What transport does Bridge Town use?

The hosted server uses MCP Streamable HTTP. For local MCP hosts that require a stdio binary, a minimal shim (forwarding to the same HTTP endpoint) is available via npx github:Bridge-Town/financial-modeling-mcp.

How do I authenticate with Bridge Town?

Claude.ai uses OAuth automatically. For generic clients, generate a token (starting with btk_) at https://app.bridgetown.builders/connect and include it as a Bearer token in the Authorization header or via the shim’s BRIDGE_TOWN_API_TOKEN environment variable.

Where are my financial models executed?

Model execution runs in isolated cloud containers with no outbound network access. Bridge Town is tenant‑isolated and OAuth‑backed.

Can Bridge Town access any Google Sheet?

No. Bridge Town uses Google’s drive.file scope, so it can only access Sheets a user explicitly selects through the Bridge Town flow or Sheets created by Bridge Town.

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