BrowserCard-AI-Broker

BrowserCard-AI-Broker

An MCP server that lets an LLM build, inspect and drive a running BrowserCard deck live in the browser.

Category
访问服务器

README

BrowserCard-AI-Broker

a small MCP server that lets an LLM build, inspect and drive a running BrowserCard deck live in the browser

BrowserCard-AI-Broker (abbreviation: the broker) is the bridge between an AI assistant and a running BrowserCard instance.

BrowserCard decks usually live entirely in the browser — there is no server and no way for an external process to reach the deck directly. The broker closes the gap between the AI assistant and BrowserCard: it speaks the Model Context Protocol (MCP) towards the LLM on one side, and a tiny JSON-RPC-style protocol over WebSocket towards BrowserCard on the other, forwarding every tool call to the connected tab and returning its result.

With it, an MCP-capable assistant can list cards and widgets, read and edit their properties, add or delete elements, change geometry, get and set scripts, store custom state, evaluate live expressions, navigate the deck and even capture a screenshot of the current card — all against the deck the user is looking at, in real time (and, with little bit of care, while the user is also actively working with that deck).

How it works

The broker is a single Node.js process that opens two ports:

Port (default) Protocol Who connects Path
3456 MCP over Streamable HTTP the LLM / MCP client POST/GET/DELETE /mcp, GET /health
3457 WebSocket the BrowserCard tab /bc
   ┌────────────┐   MCP / HTTP    ┌───────────────────────┐   WebSocket    ┌──────────────┐
   │ LLM client │ ◄────────────►  │ BrowserCard-AI-Broker │ ◄───────────►  │ BrowserCard  │
   │  (Claude…) │   :3456 /mcp    │   (this process)      │   :3457 /bc    │   (browser)  │
   └────────────┘                 └───────────────────────┘                └──────────────┘

Connection handshake

When BrowserCard connects to ws://localhost:3457/bc, its first message must be a hello carrying the shared access token plus the current deck name and card. The broker replies with welcome and, from then on, relays requests. A wrong token is rejected (close code 4001), a second simultaneous connection is refused (4002), and the wrong path is closed (4004). BrowserCard also sends notify events (e.g. card_changed) so the broker's status stays current.

Installation

git clone https://github.com/rozek/browsercard-ai-broker.git
cd browsercard-ai-broker
npm install

Configuration

The broker is configured entirely through environment variables:

Variable Required Default Purpose
BC_ACCESS_TOKEN yes shared secret; must match the token configured in BrowserCard. The process exits immediately if it is unset.
BC_MCP_PORT no 3456 port the MCP client connects to (/mcp)
BC_MCP_HOST no 127.0.0.1 interface the MCP HTTP server binds to
BC_BROKER_PORT no 3457 WebSocket port BrowserCard connects to (/bc)

Running

Build once, then start:

npm run build
BC_ACCESS_TOKEN='your-secret-token' npm start

GET /health returns 200 with the current status when a BrowserCard instance is connected, and 503 otherwise — handy for readiness checks without an MCP session.

Here is a cURL command you may use for that purpose:

curl -i http://127.0.0.1:3456/health

It prints HTTP/1.1 200 OK followed by a JSON status snapshot while a BrowserCard instance is connected, and HTTP/1.1 503 Service Unavailable otherwise:

{
  "connected": true,
  "deck_name": "My Deck",
  "current_card": "Intro",
  "connected_at": "2026-06-25T07:24:44.000Z"
}

Configuring an MCP client

Point your MCP client at the Streamable-HTTP endpoint:

http://127.0.0.1:3456/mcp

A typical configuration looks as follows:

{
  "mcpServers": {
    "browsercard-ai-client": {
      "type": "http",
      "url": "http://127.0.0.1:3456/mcp"
    }
  }
}

If your AI assistant supports MCP stdio transport only, you can bridge it to the broker's HTTP endpoint with mcp-remote:

{
  "mcpServers": {
    "browsercard-ai-client": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "http://127.0.0.1:3456/mcp"]
    }
  }
}

Configuring BrowserCard

In BrowserCard, configure its MCP connector to reach ws://localhost:3457/bc using the same BC_ACCESS_TOKEN. Once the tab is open and connected, every tool call from the LLM operates on that deck.

Available tools

30 tools in 9 groups. Every tool except connection_status requires a connected BrowserCard instance.

  • connectionconnection_status (works even without a connected tab)
  • deckdeck_get, deck_patch, deck_save
  • navigationlist_cards, list_widgets, find
  • cardscard_get, card_patch, card_add, card_delete, card_reorder, card_move
  • widgetswidget_get, widget_patch, widget_add, widget_delete, widget_transfer, widget_reorder
  • geometrywidget_get_rect, widget_set_rect (pixel rects, abstracting BrowserCard's anchor/offset model)
  • scriptingscript_get, script_set
  • extrasextras_get, extras_set, extras_delete (custom, non-schema state)
  • live interactionlive_eval, live_send, live_navigate, live_screenshot

Each tool's inputs are validated with Zod before being forwarded, and results are returned as MCP text content (live_screenshot returns image content).

Nested cards. Cards can be nested into a hierarchy. list_cards reports each card's parent_id, depth and path (ancestor names + own name, /-joined); card_add accepts an optional parent_id to insert a child; card_move re-parents a card with its whole subtree (rejecting cycles); card_delete removes a card together with its subtree (cascade); card_reorder's index is relative to the card's siblings. Cards are still addressed by their stable idpath is a read-only convenience and / is therefore not allowed inside names.

Building from source

npm run build

This runs esbuild to bundle src/index.js and its local modules into a single file, dist/BrowserCard-AI-Broker.js. The npm dependencies (express, ws, zod, @modelcontextprotocol/sdk) are kept external, so node_modules must be present at runtime.

Source Code

Internally the process is split into three modules under src/:

  • src/Broker.js — the WebSocket server. It accepts exactly one BrowserCard connection at a time, authenticates it with a shared token, tracks the connection state (deck name, current card, connected-at timestamp), and routes requests/responses by UUID with a 30-second timeout.
  • src/createServer.js — the MCP server factory. It registers all 29 tools with their Zod input schemas and forwards each call to BrowserCard via the broker. A fresh MCP server is created per MCP session; all sessions share the one broker singleton.
  • src/index.js — the HTTP entry point. It wires up Express, the Streamable-HTTP transport (one transport per session), the /health endpoint, and the startup guards.

A build step bundles all three into a single distributable file (see Building from source).

Testing

npm test

The suite contains 106 unit tests (Vitest) covering the WebSocket handshake and lifecycle, request routing and timeouts, the MCP helpers and tool forwarding, the Zod input schemas, screenshot handling and the startup guards. It uses fake WebSocket and mocked MCP infrastructure — no real network, transport or BrowserCard instance is required. See TestPlan.md for details.

Requirements

  • Node.js ≥ 22
  • a running BrowserCard instance configured with a matching access token

License

MIT © Andreas Rozek

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选