# Proxies for AI agents: giving an agent reliable web access > Source: > Published: 2026-10-21 12:05:58+00:00 *Originally published on [proxymint](https://proxymint.com/proxies-for-ai-agents/).* Proxies for AI agents give a cloud-hosted agent a home or ISP origin. Which jobs need one, which type and rotation fit, and how to wire Playwright and MCP. ## TL;DR - **An agent on a cloud server browses from a hosting IP.** Consumer sites that score networks read a datacenter ASN on the first request and often treat it as automated, so the exit type is chosen before the agent runs. - **The proxy type follows the agent's job.** Agents that read APIs and docs need none or a flat-rate datacenter port, browser agents on consumer sites need residential, and recurring logged-in work needs a static ISP address. - **Rotation mode should follow the task, not the product default.** One-shot lookups can take a new IP per request over plain HTTP, multi-step tasks need a timed session for their whole length, and each concurrent task needs its own session. - **Browser agents are heavy on bandwidth.** At 2,164 KB, the Web Almanac's median across all mobile pages, 1,000 page loads a day is about 65 GB a month, and per-GB tiers meter every byte. - **A proxy is not a way around a site's choice.** Cloudflare now blocks its Agent traffic category by default on ad pages of new domains, and a public agent product should identify itself instead of hiding in residential pools. ## Key takeaways - **Map every agent tool to a proxy type and a rotation mode.** Lookups, multi-step flows and logged-in tasks each get their own session model before the agent runs. - **Create a fresh browser context per task.** Set the proxy on the context, not the browser, so a stuck task never shares an IP or cookies with the next one. - **Scope the proxy to the browser and fetch tools.** A global proxy environment variable also sends the LLM API calls through a per-GB exit, which adds cost and latency for nothing. - **Keep proxy credentials out of the model's context.** Store them in the runtime config or a secrets manager, never in the prompt or a tool the model can read back. - **Measure bytes per task before buying.** Log transferred bytes for a sample of real tasks and price the month from that, not from page counts. **[Read the full guide on proxymint](https://proxymint.com/proxies-for-ai-agents/)**, with the commands, tables and sources.