When your agent tries to read a webpage, it gets blocked. Wick gives it the same access you have — running locally, from your own IP.
$ brew install wick && wick setup
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Modern websites fingerprint incoming connections at multiple layers. Your AI agent's HTTP requests look nothing like a real browser — different network signature, different protocol behavior, missing browser signals. The result: 403 errors, CAPTCHA walls, or degraded content. Your agent is left apologizing instead of helping.
Wick runs as a lightweight local service on your machine. When your agent needs to fetch a page, Wick handles the request using the same technology real browsers use — authentic, not mimicked. The request goes out from your own residential IP, with your own cookies. To the website, it looks like you browsing normally. Because it basically is.
Everything your agent needs to access the real web, nothing it doesn't.
Wick uses the same networking technology as real browsers. Not an imitation — the real thing. Websites can't tell the difference because there isn't one.
Everything happens on your machine. No cloud proxy, no third-party servers. Your data never leaves your network unless you're the one sending it.
Raw HTML is useless to an LLM. Wick strips boilerplate, navigation, and ads, returning clean, structured markdown your agent can actually use.
No pooled residential IPs. No sketchy proxy networks. Requests go out from your own connection — because you're the one making them, through your agent.
Designed for AI agents from day one. Works instantly with Claude Code, Cursor, Windsurf, and any MCP-compatible client. One command to install.
Wick is MIT-licensed and costs nothing to run. Built by a team with over a decade of experience in internet access technology.
One line. Homebrew on macOS, or grab the binary from GitHub releases.
brew install wick
Wick auto-detects your MCP clients and configures them.
wick setup
Your agent now has wick_fetch. Ask it to read any webpage. It just works.
Give your AI agent the web access it deserves.
Free, open source, and ready in 30 seconds.