Photon — Message Bridge for Claude Code

Two-way message relay between Claude Code instances on different machines. Send handovers, task updates, and coordination messages between any number of machines through a Cloudflare Worker.

Why

If you use Claude Code on multiple machines (e.g. a Mac laptop and a Windows desktop), there's no built-in way for agents to communicate across machines. Photon bridges that gap — agents can leave messages for each other, hand off work context, and coordinate tasks across your setup.

Use cases:

• Cross-machine handovers — finish work on your laptop, send context to your desktop agent
• Task coordination — direct agents on different machines from one place
• Multi-agent messaging — tag and filter messages by project, machine, or topic
• Session continuity — leave notes for your next session on any machine

Architecture

Machine A (Claude Code)                    Machine B (Claude Code)
     |                                            |
MCP server (stdio)                         MCP server (stdio)
     |                                            |
     +-----------> Cloudflare Worker <-------------+
                  (KV message store)

Both machines run the same MCP server. Each identifies itself via BRIDGE_MACHINE_ID env var. Messages are stored in Cloudflare KV and accessed over HTTPS with a shared API key.

Prerequisites

• A Cloudflare account (free tier works fine)
• Node.js (for deploying the Worker)
• Python 3.10+ (for the MCP server)
• Claude Code installed on your machines

Setup

1. Clone this repo

git clone https://github.com/zamabama/photon.git
cd photon

2. Deploy the Cloudflare Worker

The Worker is the message relay that both machines talk to. Free tier is more than enough.

cd worker
npm install

# Create a KV namespace for message storage
npx wrangler kv namespace create MESSAGES
# This outputs a namespace ID — copy it into wrangler.toml

# Set your shared API key (any random string — both machines need the same one)
npx wrangler secret put BRIDGE_API_KEY

# Deploy
npx wrangler deploy

After deploying, note your Worker URL (e.g. https://photon.<your-account>.workers.dev).

3. Install Python dependencies

pip install mcp httpx

4. Add to Claude Code

On each machine, add Photon to your project's .mcp.json (or create one):

{
  "mcpServers": {
    "photon": {
      "command": "python3",
      "args": ["/path/to/photon/mcp_server.py"],
      "env": {
        "BRIDGE_WORKER_URL": "https://photon.<your-account>.workers.dev",
        "BRIDGE_API_KEY": "<your-shared-secret>",
        "BRIDGE_MACHINE_ID": "mac"
      }
    }
  }
}

Configuration:

Variable	Description
BRIDGE_WORKER_URL	Your deployed Worker URL
BRIDGE_API_KEY	Shared secret (same on all machines)
BRIDGE_MACHINE_ID	Unique identifier for this machine (e.g. "mac", "pc", "work-laptop")
BRIDGE_PROJECT	(Optional) Project name for filtering messages across projects

Windows note: Use "python" instead of "python3" for the command.

Multi-project setup: You can add Photon to multiple projects on the same machine. Set different BRIDGE_PROJECT values to filter messages per project, or leave it empty for global messages.

5. Add to CLAUDE.md (recommended)

Add this to your project's CLAUDE.md so agents know to check messages:

## Photon — Message Bridge

Check photon at the start of every session:
- Use `check_messages` to see unread count
- Use `read_messages(unread_only=true)` to read pending messages
- Act on any task direction or handover notes
- When finishing a session, send a handover summary via `send_message`

MCP Tools

Once configured, Claude Code gets these tools:

Tool	Description
check_messages	Quick unread count — call at session start
send_message	Send a message with optional tags for categorization
read_messages	Read messages with filters (unread, sender, project, tag, limit)
mark_read	Mark a specific message as read by ID
clear_messages	Delete all messages (requires confirm=true safety check)

Example usage in conversation

You: "Check photon for any messages from my PC"
Agent: [calls check_messages] → "2 unread messages from pc"
Agent: [calls read_messages(unread_only=true)] → shows messages

You: "Send a handover to my PC about where we left off"
Agent: [calls send_message with context summary]

Worker API Reference

All endpoints require Authorization: Bearer <key> header except /health.

Method	Path	Description
GET	/health	Health check (no auth required)
POST	/messages	Send a message
GET	/messages	List messages
POST	/messages/:id/read	Mark message as read
DELETE	/messages/:id	Delete a message
DELETE	/messages?confirm=true	Delete all messages

Query parameters for GET /messages

Parameter	Description
unread	"true" to return only unread messages
from	Filter by sender machine ID
project	Filter by project name
tag	Filter by tag
limit	Max messages to return (default 50)
since	ISO timestamp — only messages after this time

Message format

{
  "id": "uuid",
  "from": "mac",
  "project": "my-project",
  "timestamp": "2026-02-28T12:00:00.000Z",
  "content": "Finished the auth refactor. Tests passing. Ready for review.",
  "tags": ["handover", "auth"],
  "read": false
}

File Structure

photon/
├── mcp_server.py        ← MCP server (Python, stdio transport)
├── requirements.txt     ← Python dependencies (mcp, httpx)
├── README.md
└── worker/
    ├── wrangler.toml    ← Cloudflare Worker config
    ├── package.json
    └── src/
        └── worker.js    ← Cloudflare Worker (message relay)

Cost

Cloudflare Workers free tier includes 100,000 requests/day and 1GB KV storage. For typical Claude Code usage (a few hundred messages per day at most), you'll never come close to these limits. Photon costs nothing to run.

License

MIT