BrowserCard-AI-Broker
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@BrowserCard-AI-Brokerlist all cards in the current deck"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
| MCP over Streamable HTTP | the LLM / MCP client |
|
| WebSocket | the BrowserCard tab |
|
┌────────────┐ 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.
Related MCP server: Vibe-Eyes
Installation
git clone https://github.com/rozek/browsercard-ai-broker.git
cd browsercard-ai-broker
npm installConfiguration
The broker is configured entirely through environment variables:
Variable | Required | Default | Purpose |
| yes | — | shared secret; must match the token configured in BrowserCard. The process exits immediately if it is unset. |
| no |
| port the MCP client connects to ( |
| no |
| interface the MCP HTTP server binds to |
| no |
| WebSocket port BrowserCard connects to ( |
Running
Build once, then start:
npm run build
BC_ACCESS_TOKEN='your-secret-token' npm startGET /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/healthIt 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/mcpA 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
29 tools in 9 groups. Every tool except connection_status requires a connected BrowserCard instance.
connection —
connection_status(works even without a connected tab)deck —
deck_get,deck_patch,deck_savenavigation —
list_cards,list_widgets,findcards —
card_get,card_patch,card_add,card_delete,card_reorderwidgets —
widget_get,widget_patch,widget_add,widget_delete,widget_transfer,widget_reordergeometry —
widget_get_rect,widget_set_rect(pixel rects, abstracting BrowserCard's anchor/offset model)scripting —
script_get,script_setextras —
extras_get,extras_set,extras_delete(custom, non-schema state)live interaction —
live_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).
Building from source
npm run buildThis 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/healthendpoint, and the startup guards.
A build step bundles all three into a single distributable file (see Building from source).
Testing
npm testThe 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
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/rozek/browsercard-ai-broker'
If you have feedback or need assistance with the MCP directory API, please join our Discord server