Luxxon

Luxxon

On-demand live vision MCP for AI agents — open a session at a lat/lng, receive a JPEG snapshot or WebRTC stream, settled per-second in USDC on Base. Four tools (get_session, get_frame, get_stream_url, cancel_session); currently Base Sepolia testnet.

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README

Luxxon — TypeScript SDK + MCP server

Programmable vision for AI agents. Request live video or single frames from real-world locations, settled on-chain in USDC.

This repo contains:

Package Purpose
packages/sdk TypeScript HTTP client for the Luxxon API. Pure fetch, no native deps.
packages/mcp MCP server exposing Luxxon as agent-callable tools (stdio transport, works with Claude Desktop / Cursor / any MCP client).
examples/ Runnable agent examples — copy, paste, run.

API: docs.luxxon.devhttps://api.luxxon.dev/api/v1.

Why an MCP server

Agents have fetch(), not <video> tags. The MCP server turns Luxxon into a set of tools any MCP-aware agent can call directly:

  • get_frame(sessionId) → JPEG bytes ready for a vision model
  • get_session(sessionId) → current state of a live session
  • cancel_session(sessionId) → early termination

Drop the server into your Claude Desktop config and your agent can see the world.

Quickstart — TypeScript SDK

import { Luxxon } from "@luxxon/sdk";

const lx = new Luxxon({ apiKey: process.env.LUXXON_API_KEY });

// Read the latest frame from a LIVE session (returns a Buffer).
const jpeg = await lx.sessions.frame("sess_abc123");

Quickstart — MCP server

// ~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "luxxon": {
      "command": "npx",
      "args": ["-y", "--package=@luxxon/mcp", "luxxon-mcp"],
      "env": { "LUXXON_API_KEY": "lxxn_live_..." }
    }
  }
}

Restart Claude Desktop; the three tools appear under "Luxxon".

Status

v0, building in public. The SDK + MCP cover the agent-read surface today (frames, session state, cancel). Session creation lands behind a custodial-wallet sign path that's still being built on the API side — for now you create sessions yourself via the REST API and use this SDK/MCP to consume them.

Public dev console + Python/Go/CLI SDKs follow. Watch this repo.

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