広告掲載
MCP.so
ログイン

Bridge Town MCP Server

@Bridge-Town

リポジトリホームページ

基本情報

カテゴリ

開発者ツール

ライセンス

MIT

トランスポート

stdio

認証方式

oauth

作者

Bridge-Town

投稿者

Gregory Carter

Bridge Town MCP Server について

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

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

Bridge Town MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Bridge Town MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

このサーバーは認証が必要です。ツールの取得にはログインや提供元の認証情報が必要な場合があります。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

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

よくある質問

1

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.

2

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`.

3

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.

4

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.

5

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.

コメント

「開発者ツール」の他のコンテンツ

UXMachine

UXMachine

UXMachine measures a web page in a real browser and returns verifiable observations, each with its evidence and its limits. It opens the address on desktop (1280×800) and mobile (390×844) and follows the site's own links

ArtiBot Cloud MCP - Zhijiangyun 智匠云

bofob

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation

1

FARPY

mangomunchr

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP

1

AptiBuild AI — Career Intelligence

ParklandBuilds

AptiBuild AI — Career Intelligence MCP Server Structured career decision scaffolding for AI agents. Provides personality-conditioned business idea generation, official BLS OEWS wage data, FRED labor market signals, and

Perfex CRM

themesic

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.

1
広告掲載