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Show HN: Aitori, see and govern the AI traffic leaving your machine (github.com)
2 points by deeptishukla22 4 days ago
Hi HN, I work at TrueFoundry.

We built Aitori because AI traffic is getting harder for companies to control.

When developers call an LLM API directly, the request can be routed through a gateway. But tools like Claude Desktop, ChatGPT app, claude.ai call the model from the vendor’s backend. There is no endpoint setting you can point to your proxy.

Aitori is an open-source local proxy that runs on the employee’s machine and intercepts traffic to selected AI applications.

It uses a per-device CA, similar to mitmproxy, to inspect model and MCP requests and forward them to a gateway. Traffic to other applications is left untouched.

Once you can see the traffic, it stops being a black box. You can log it, apply policy, route it, or do whatever else you would with AI traffic you control.

It's Apache-2.0, and the forwarding contract is documented so it works with any gateway, not just ours: https://github.com/truefoundry/aitori/

Try it: curl -fsSL https://raw.githubusercontent.com/truefoundry/aitori/main/in... | sh then sudo aitori up --ui

Around all day to answer any questions.

2 comments

This is pretty useful, am I right in assuming that this currently will not track payloads sent to MCP servers talking to Claude over stdio (Claude-> Stdio -> MCP Process -> Network)?

If yes, that might be an interesting problem to solve right? Given that MCP server itself could be sending data out to server to do something.

Curious how this handles apps that do certificate pinning: does it just fail closed and pass that traffic through unclassified, or is there a workaround?