Toolflow AI Integrations
Put Toolflow AI to work with AI and enterprise-grade automation
Google for Startups AcceleratorNo Toolflow AI connector? The Agent builds one.
Web search for Toolflow AI's public API docs, or hand over your own — either way, the Agent researches the real API surface and ships a working connector.
Try Knit FreeNot a block library. Real code.
Legacy automation tools like Zapier, Workato, and Make hand you a fixed library of pre-built steps to drag, drop, and configure around the edges. Knit's Integrations Agent writes real, custom Toolflow AI integration code for your exact logic.
Legacy iPaaS
- Fixed library of pre-built steps — drag, drop, configure around the edges
- Capped by whatever the vendor's already built
- AI features bolted on after the fact
Knit Integrations Agent
- Real, inspectable code for your exact Toolflow AI logic
- Auto-builds a missing Toolflow AI connector itself
- Native LLM connectors built in, not bolted on
from knit import Knit
client = Knit(api_key=KNIT_API_KEY)
@client.on("agent-run-completed")
def run_an_agent_or_tool(event):
return client.ai_agents.run_an_agent_or_tool(
integration_id=TOOLFLOW_AI_INTEGRATION_ID,
record_id=event["id"],
fields={
"source": "Toolflow AI",
"synced_at": event["updated_at"],
},
# ...maps the event to a real "Run an agent or tool" call
)
Example: illustrative of what the Agent generates from a plain-English prompt — real, inspectable, and yours to edit.
Skip the engineering. Ship the workflows.
See what you can build with Toolflow AI on Knit
See the APIs & webhooks enabling Toolflow AI Integrations
The real endpoints Knit's Agent can call to turn a plain-English use case into working Toolflow AI Integration code
Use this action with tools that take over 30 seconds to run. During testing, this will return stubbed data.
Use this action with short running tools. During testing, this will return actual data.
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Enterprise-grade security
Customer Stories
See how leading technology firms are scaling their operations
Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
#1 in Ease of Integrations
4.9 out of 5 stars on G2
Common questions about the Toolflow AI automation
Is there a pre-built Toolflow AI automation?
Not yet — Toolflow AI isn't in Knit's Unified API or MCP Servers catalog today, so there's no pre-built connector for it either. The Integrations Agent can build the real automation (and the connector powering it) on demand instead of you waiting on our roadmap.
How does the Agent actually build the Toolflow AI connector?
It researches Toolflow AI's real public API documentation — authentication, endpoints, data schema — and writes a working connector against that real surface. You can also upload your own docs if Toolflow AI's aren't public.
How long does it take?
Minutes to build a first working version, not weeks — you test it against real Toolflow AI data before it goes anywhere near production.
What happens after the Agent builds it?
You own it. It runs the same way any Knit-built connector does — you are not left maintaining hand-rolled integration code yourself.
Could Toolflow AI become a real pre-built connector later?
Yes — as apps get built and used through the Agent, the highest-demand ones are natural candidates to join the pre-built Unified API/MCP Servers catalog directly.