Proxies for AI: start with the connection you need
An agent browsing the web, a RAG crawler and an application calling a model need different infrastructure. Choose your workflow, then compare the relevant network services.
Which part of your AI workflow needs a proxy?
Start with the failing or missing connection. A network proxy carries a client's outbound traffic. A model gateway handles model requests. MCP connects an application to tools and data. The same project can use all three, but buying an IP address solves only the network part.
| Your task | Start with | What to check before choosing |
|---|---|---|
| Connect your own HTTP client or browser through a chosen exit IP | Network proxy | Client protocol, proxy authentication, destination access, exit IP stability |
| Let an agent navigate and interact with websites | Local or managed browser | Rendering, isolated sessions, cookies, action completion, browser egress |
| Collect web documents for RAG | Crawler, extraction API or a suitable dataset | Coverage, source URLs, freshness, extraction completeness, refresh cost |
| Share model credentials, route model requests or track team budgets | Inference gateway | Supported models, key permissions, rate limits, streaming, logs |
| Expose existing tools to an AI application | MCP server or middleware | Available tools, authentication, transport, tool output and actual execution |
Browser agents: follow the browser's network path
Write down the path: agent → browser tool → website. If the browser runs remotely, its exit IP belongs to that remote environment; changing the agent's local network setting may not affect it. Playwright supports browser-level and context-level proxies. Playwright MCP exposes separate browser proxy options.
For a multi-step workflow, compare session duration and IP stability with the time needed to finish the action. Decide who preserves cookies and browser state. Keep proxy credentials outside prompts and saved traces. Test one permitted target from a clean session: record the observed exit IP and whether the intended action completed. A successful proxy connection alone does not prove that the agent can use the website.
RAG: compare the collected document
If your crawler already extracts the needed content, an outbound proxy can address a specific network requirement. If you also need rendering, extraction or scheduled refresh, compare those services separately. A proxy does not turn HTML into reliable evidence for a model.
Use the same small document set to compare approaches. Check paragraphs, tables, links, canonical source URL and collection time; preserve those fields with each document. Refresh the set and inspect missing pages and duplicates. Compare cost per usable document, including failed fetches, rendering and retries. Evaluate retrieval and answer quality separately from network success.
Gateways and MCP: choose the application layer
An inference gateway such as LiteLLM provides model routing, virtual keys and budget controls. Those requirements belong to model infrastructure. MCP architecture describes tool and data connections; MCP compatibility alone does not specify a website exit IP. Trace the tool's own requests before adding a network proxy.
Compare network services only when you need an exit IP
Use the datacenter catalog or residential catalog to inspect published products. Choose by the destination's permitted requirements, authentication, session behavior, concurrency and billing. IP origin alone is not evidence that a product suits your agent. Read the service's current product details and affiliate disclosure before following a provider link.
For a browser you control, start with the Playwright proxy guide. Use the proxy checker for an initial connection check, then verify the exit from the actual client on My IP. Measure the full target workflow before committing to a larger plan.