CC Gateway addresses a cost and telemetry challenge that many Claude Code users face but few know how to solve: system prompt inflation due to billing headers and environment inconsistencies. By sitting between Claude Code and the Anthropic API, it normalizes device identity and environment fingerprints into a canonical profile, enabling huge cache savings and smoother multi-machine workflows.
What cc-gateway does and how it works
At its core, CC Gateway is a reverse proxy written in TypeScript that intercepts all traffic to the Anthropic API from Claude Code clients. It consolidates telemetry data, device fingerprints, and process metrics into a single canonical profile per client. This proxy rewrites over 40 environment dimensions and strips out billing headers that would otherwise cause redundant system prompt caching.
The main architectural pattern is a centralized proxy that normalizes client environment data and manages OAuth tokens for multiple clients. It supports multi-machine architectures and proxy-aware routing, making it suitable for both local development and production deployments.
Telemetry is collected across three parallel channels, covering more than 640 event types. The proxy “phones home” every 5 seconds to report this data, enabling detailed monitoring and analytics. By standardizing the environment and device identity, CC Gateway enables an ~85% reduction in system prompt costs through cross-session caching.
Clients connect via generated launcher scripts that require zero-login setup, improving developer experience. The proxy also sanitizes injected system prompts to avoid unwanted data leakage or inconsistencies.
Supported deployment options include a simple local Node.js setup and a Docker-based production mode. The Docker deployment includes an interactive setup script that extracts OAuth credentials, builds the container, and configures the gateway and clients.
Why cc-gateway stands out technically
The standout technical feature is the billing header removal that enables cross-session system prompt cache sharing. Normally, each client session sends unique billing headers tied to environment details, causing the backend to cache system prompts separately and inflate costs. CC Gateway strips these headers, normalizing client identity, which allows reuse of cached prompts across sessions and devices.
Under the hood, this involves rewriting 40+ environment dimensions to present a consistent device fingerprint. This is not a trivial task because environment fingerprints contain numerous subtle variations (OS version, device model, process metadata). The proxy’s normalization logic is surprisingly comprehensive and nuanced to avoid breaking client behavior.
The proxy also centralizes OAuth token management. Instead of each client handling its own token refresh, CC Gateway manages refresh tokens, access tokens, and expiration centrally. This reduces token-related errors and improves session stability.
From a code quality perspective, the repo is written in TypeScript with a clear modular structure. The scripts directory contains setup scripts that automate OAuth extraction from macOS Keychain, config generation, and client launcher creation, improving developer experience.
The tradeoff is added complexity: introducing a proxy layer requires maintenance, and subtle bugs could arise from environment fingerprint normalization. Also, it currently depends on macOS Keychain for OAuth extraction, which limits cross-platform support. The proxy is also a single point of failure if not deployed with high availability.
Quick start
One command. Requires Node.js 22+ and an existing Claude Code login on this machine.
git clone https://github.com/motiful/cc-gateway.git
cd cc-gateway
npm install
bash scripts/quick-setup.sh
This will:
- Extract your OAuth credentials from macOS Keychain (access token + refresh token)
- Generate a canonical device identity and client token
- Write
config.yaml - Generate a client launcher at
./clients/cc- - Start the gateway on
http://localhost:8443
Use it
In another terminal:
./clients/cc-<hostname>
That’s it. Claude Code launches, traffic routes through the gateway. No env vars to set, no files to edit.
Behind a proxy?
HTTPS_PROXY=http://127.0.0.1:7890 bash scripts/quick-setup.sh
The gateway will route all outbound traffic (API calls + token refresh) through your proxy.
Client setup (what you tell them)
chmod +x cc-alice
./cc-alice install # installs as 'ccg' command
ccg # start Claude Code through gateway
All Claude Code arguments work: ccg --print "hello", ccg --resume, etc.
Docker (production)
bash scripts/admin-setup.sh
This interactive script:
- Extracts OAuth credentials
- Generates config + first client launcher
- Builds and starts the Docker container
- Asks for the gateway address clients should connect to
After setup, add more clients with:
bash scripts/add-client.sh <name>
verdict
CC Gateway is a well-thought-out tool for Claude Code users who want to optimize cost and telemetry consistency across multiple devices or sessions. The billing header stripping and environment normalization are concrete, practical solutions to real-world cost issues that most users don’t know about.
Its tradeoff is added operational complexity and macOS-centric OAuth extraction, which limits cross-platform use. Still, for teams or power users running multiple Claude Code clients, the ~85% system prompt cost reduction is worth the setup and maintenance overhead.
The code quality is solid, and the scripts automate most painful steps. If you run Claude Code extensively and want to tame your token costs, cc-gateway is worth testing.
Anyone running a small single-machine setup with minimal multi-client usage may find the proxy overhead unnecessary. The proxy layer also introduces a maintenance burden and potential debugging complexity.
Overall, cc-gateway shines as a niche but valuable infrastructure piece for serious Claude Code users looking to optimize usage patterns and costs without hacking the client itself.
→ GitHub Repo: motiful/cc-gateway ⭐ 2,749 · TypeScript