Connect, observe & control LLMs, MCPs, Guardrails & Prompts
TrueFoundry’s AI Gateway is the production-ready, control plane to experiment with, monitor and govern your agents. Experiment with connecting all agent components together (Models, MCP, Guardrails, Prompts & Agents) in the playground. Maintain complete visibility over responses with traces and health metrics. Govern by setting up rules/limits on request volumes, cost, response content (Guardrails) and more. Being used in production for 1000s of agents by multiple F100 companies!
Hey Product Hunt, Anuraag here, co-founder at TrueFoundry 👋
When we first thought about a “gateway”, we imagined a simple LLM routing layer in front of models. Pick a model, send traffic, switch if needed. Easy… or so we thought.
Once teams started putting agents and MCPs into production, we realised the hard stuff wasn’t just about routing. It is:
Different MCP auth flows for every internal system.
Traces & logs that break once you chain models, tools, and agents
Data residency and “this data must stay in this region” rules,
Security asking “who called what, when, with which payload?”,
Product teams need to swap models without rewriting everything.
So the “router” slowly turned into a proper control plane that sits between your apps, LLMs, and MCPs - making sure traffic is reliable, auditable, compliant, and still fast for developers to ship on.
Today, TrueFoundry’s AI Gateway sits at the center of production traffic across 10+ Fortune 500s, powering their internal copilots and agents while platform teams use it to keep costs, safety, and observability under control - rather than maintaining a pile of custom glue code.
Hey Product Hunt, Anuraag here, co-founder at TrueFoundry 👋
When we first thought about a “gateway”, we imagined a simple LLM routing layer in front of models. Pick a model, send traffic, switch if needed. Easy… or so we thought.
Once teams started putting agents and MCPs into production, we realised the hard stuff wasn’t just about routing. It is:
Different MCP auth flows for every internal system.
Traces & logs that break once you chain models, tools, and agents
Data residency and “this data must stay in this region” rules,
Security asking “who called what, when, with which payload?”,
Product teams need to swap models without rewriting everything.
So the “router” slowly turned into a proper control plane that sits between your apps, LLMs, and MCPs - making sure traffic is reliable, auditable, compliant, and still fast for developers to ship on.
Today, TrueFoundry’s AI Gateway sits at the center of production traffic across 10+ Fortune 500s, powering their internal copilots and agents while platform teams use it to keep costs, safety, and observability under control - rather than maintaining a pile of custom glue code.
🔗 Sign Up Link: Please try and give us feedback! 🙏
🎁 Launch perk: 3‑month free trial for the PH community
If you’re wrestling with MCP auth, logging, or data policies, drop your setup in the comments - curious to see how you are wiring your stack today!