Software Engineer (7+ yrs) building scalable systems and exploring Agentic AI. Sharing practical tutorials on AI workflows, automation, and multi-agent systems.
Yeah, but Bifrost isn’t only an MCP gateway. It also has an LLM gateway similar to LiteLLM, with multi-provider model routing, load balancing, fallbacks, retries, and governance.
So the interesting part is that you can use the same gateway layer for both your LLM traffic and MCP servers/tools, rather than running separate infrastructure for each.
Bifrost is written in Go and is heavily optimized for low gateway overhead. If you’re already using LiteLLM, they also have a migration guide specifically for moving from LiteLLM to Bifrost:
Interesting, I'll have a look, I recently made a PR to LiteLLM, because they're trying to migrate to Rust, so I fixed up a few things for them. Might have a look at Bifrost too, cuz I have some Go experience too
Software Engineer (7+ yrs) building scalable systems and exploring Agentic AI. Sharing practical tutorials on AI workflows, automation, and multi-agent systems.
Adding a bit of context since my previous reply seems to have been removed:
The LiteLLM comparison is actually a useful one, with one distinction. Bifrost isn’t only handling the MCP side it also functions as an LLM gateway, with capabilities like multi-provider routing, load balancing, fallbacks, and retries.
So I’d think of it less as “LiteLLM, but for MCP” and more as one gateway that can cover both LLM traffic and MCP tool access.
It’s also implemented in Go with a focus on keeping gateway overhead low. For anyone already familiar with LiteLLM, Bifrost’s docs have a dedicated LiteLLM migration guide that makes the feature mapping easier to compare.
Software Engineer (7+ yrs) building scalable systems and exploring Agentic AI. Sharing practical tutorials on AI workflows, automation, and multi-agent systems.
Nice! In that case, Bifrost might actually be interesting for you to dig into, especially since you already have some Go experience.
And thanks for the context on LiteLLM’s Rust work I wasn’t aware they were exploring that direction. Would be interesting to hear your perspective on the two implementations if you end up looking through Bifrost’s codebase as well.
So like LiteLLM, but for MCP servers?
Yeah, but Bifrost isn’t only an MCP gateway. It also has an LLM gateway similar to LiteLLM, with multi-provider model routing, load balancing, fallbacks, retries, and governance.
So the interesting part is that you can use the same gateway layer for both your LLM traffic and MCP servers/tools, rather than running separate infrastructure for each.
Bifrost is written in Go and is heavily optimized for low gateway overhead. If you’re already using LiteLLM, they also have a migration guide specifically for moving from LiteLLM to Bifrost:
docs.getbifrost.ai/migration-guide...
Interesting, I'll have a look, I recently made a PR to LiteLLM, because they're trying to migrate to Rust, so I fixed up a few things for them. Might have a look at Bifrost too, cuz I have some Go experience too
Adding a bit of context since my previous reply seems to have been removed:
The LiteLLM comparison is actually a useful one, with one distinction. Bifrost isn’t only handling the MCP side it also functions as an LLM gateway, with capabilities like multi-provider routing, load balancing, fallbacks, and retries.
So I’d think of it less as “LiteLLM, but for MCP” and more as one gateway that can cover both LLM traffic and MCP tool access.
It’s also implemented in Go with a focus on keeping gateway overhead low. For anyone already familiar with LiteLLM, Bifrost’s docs have a dedicated LiteLLM migration guide that makes the feature mapping easier to compare.
Nice! In that case, Bifrost might actually be interesting for you to dig into, especially since you already have some Go experience.
And thanks for the context on LiteLLM’s Rust work I wasn’t aware they were exploring that direction. Would be interesting to hear your perspective on the two implementations if you end up looking through Bifrost’s codebase as well.
Will do, for LiteLLM, I reworked their token counting system, it was incredibly inefficient, no clue how they kept it in python for this long?