ProxyClaw is a skill designed to provide AI agents with unrestricted web access by routing their requests through a large network of real residential IP addresses across 195+ countries. It addresses the common obstacles faced by automated agents, such as CAPTCHAs, bot detection, IP bans, JavaScript-heavy sites, and geo-restrictions, by offering features that include full browser rendering, automatic CAPTCHA solving, and anti-bot bypass using real device fingerprints. The tool is positioned for users who need their AI agents to reliably access web data that would otherwise be blocked or obfuscated by anti-automation measures.
The platform supports multiple installation methods: it can be installed as a skill via ClawHub, cloned directly from GitHub, or integrated using the IPLoop Python SDK, which offers anti-bot stealth mode. ProxyClaw is also available as a Model Context Protocol (MCP) server, enabling seamless integration with environments such as Claude Desktop, Cursor, or Zed, and allowing these agents to operate as if they were real human users from any of the supported countries. API access is provided, with parameters for output format (rendered, raw, markdown), geo-targeting by country, cache expiration, device type (desktop or mobile), and IP type (residential or ISP).
A notable aspect of ProxyClaw is its credit-based pricing and earning model. Every page scraped through the service earns proxy credits for the user, and there is an option to share idle bandwidth to multiply these earnings. Most users can access the service at no cost, as credits generated by scraping typically cover usage. 5 GB of residential proxy data with JavaScript rendering and advanced geo-targeting included.
ProxyClaw distinguishes itself within the autonomous agent tools category by combining residential proxy infrastructure, browser-level rendering, and anti-bot evasion, while incentivizing usage through its credit-earning mechanism. This makes it suitable for developers and users who require persistent, undetectable, and geographically flexible web access for their AI agents.
ProxyClaw is an Autonomous agents & workflows project. It focuses on allowing AI agents to access and scrape web data reliably by bypassing common anti-bot measures. ProxyClaw is a B2B product aimed at AI agent developers and data scrapers. ProxyClaw follows a freemium model. It runs on the command line.
It is developed by IPLoop, and it first shipped in 2026. Development happens publicly on GitHub with 5 commits in the last 90 days. Among its 5 catalogued features are residential proxy access, CAPTCHA solving, and anti-bot bypass. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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