One SDK to integrate with every major AI model.
Stop building integrations model by model. Kalibr normalizes schemas, auth, and MCP so your product just works across providers.
Watch how 7 lines of code replace hundreds of model-specific integrations
From model chaos to deployment clarity, Kalibr handles the complexity
so you can focus on what matters most: your product.
Integrate once, and your product works with GPT and Claude, with more providers coming soon.
Skip the provider-by-provider patching. Kalibr handles compatibility for you.
One workflow, instantly available across multiple models and frameworks.
Stay ahead of API changes, MCP drift, and the next wave of AI providers.
That's all it takes to make your SaaS agent-ready everywhere.
pip install kalibr
from kalibr_sdk.core import Kalibr
kalibr = Kalibr()
kalibr.register_tool("create_lead", {
"description": "Add a lead to CRM",
"actions": [{"name": "create", "params": {"email": "string"}}]
})
kalibr.deploy()
AI agents are becoming the new interface layer for software.
SaaS products that aren't agent-ready will be invisible in this shift.
But today, every provider has different schemas, auth, and error handling.
Teams are forced to rebuild the same integrations model by model. It's a slow, brittle, and unsustainable approach.
Kalibr is the compatibility layer that fixes this.
Integrate once, and your SaaS just works everywhere.
Kalibr is designed to work with MCP, not replace it. MCP standardizes how tools are exposed. Kalibr ensures they keep working across providers.
GPT and Claude are fully supported. Gemini, Mistral, and other providers are in development.
One production workflow, agent-ready across every model, without per-provider rewrites.
Make your SaaS agent-ready everywhere.
Join the Private Beta