To be fair, it is really simple to build your own proxy. I built a custom authentication layer with logging and limits for Dify MCP with just 2 prompts in Kimi.
Later built it out with database limts etc.
Thank you! Showing the data in a web page should definitely be possible. But I’m not sure if this matches the original idea I had, where the tool would run in the terminal only. Why do you feel the need to show the data in a web page? Is there anything missing in the CLI?
Remote debugging and post-mortem debugging support might be useful.
There are many AI auditability proxies;
awesome-auditable-ai: "A curated list of papers, tools, datasets, benchmarks, and standards for building, evaluating, and auditing reliable AI agents" https://github.com/yzhao062/awesome-auditable-ai
To be fair, it is really simple to build your own proxy. I built a custom authentication layer with logging and limits for Dify MCP with just 2 prompts in Kimi. Later built it out with database limts etc.
I feel most of the comments here are from bots
Maybe, but I didn't do it. Perhaps people are boosting their karma?
This is awesome. Your comparison make it easy. This approach makes perfect sense to give 100% visibility into the back and forth.
Is it possible to add a simple browser page to brows the data in a simple way?. Thank you.
Thank you! Showing the data in a web page should definitely be possible. But I’m not sure if this matches the original idea I had, where the tool would run in the terminal only. Why do you feel the need to show the data in a web page? Is there anything missing in the CLI?
Its really a great tool. The gap of visualization of calling the AI client is covered by your product!!
Thanks a lot!
Great. I dream to see MCP of MCP, discovery, installation, security and usage should be automatic.
Remote debugging and post-mortem debugging support might be useful.
There are many AI auditability proxies;
awesome-auditable-ai: "A curated list of papers, tools, datasets, benchmarks, and standards for building, evaluating, and auditing reliable AI agents" https://github.com/yzhao062/awesome-auditable-ai
Aegis and LiteLLM, for example, are pre-execution firewalls that add a cryptographic audit trail. https://github.com/Justin0504/aegis
This is awesome, thank you. What's missing now is an MCP for Wireshark.
Thanks! Actually, there is already an MCP for Wireshark, for example https://github.com/0xKoda/WireMCP
Bingo! Great find. Thank you.