Jiminny

Jiminny Integrations

Put Jiminny to work with AI and enterprise-grade automation

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No Jiminny connector? The Agent builds one.

Web search for Jiminny's public API docs, or hand over your own — either way, the Agent researches the real API surface and ships a working connector.

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Not 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 Jiminny 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 Jiminny logic
  • Auto-builds a missing Jiminny connector itself
  • Native LLM connectors built in, not bolted on
Prompt "When a new post is created in Canny, log the user feedback in Jiminny."
from knit import Knit

client = Knit(api_key=KNIT_API_KEY)

@client.on("ai-scorecard-completed")
def upload_conversation(event):
    return client.ai_meeting_notetakers.upload_conversation(
        integration_id=JIMINNY_INTEGRATION_ID,
        record_id=event["id"],
        fields={
            "source": "Jiminny",
            "synced_at": event["updated_at"],
        },
        # ...maps the event to a real "Upload Conversation" 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 Jiminny on Knit

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See the APIs & webhooks enabling Jiminny Integrations

The real endpoints Knit's Agent can call to turn a plain-English use case into working Jiminny Integration code

AI Scorecard Completed

Triggers when an AI Scorecard has been completed

Coaching Feedback Completed

Triggers when Coaching Feedback is provided.

Conversation Exported

Triggers when a conversation is shared externally.

Conversation Played

Triggers when a conversation is listened back to.

Conversation Processed

Triggers when a conversation is fully processed.

Conversation Shared

Triggers when a conversation is shared internally.

Upload Conversation

Uploads a recording to create a new conversation in Jiminny.

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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.
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Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
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Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
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FAQ

Common questions about the Jiminny automation

Is there a pre-built Jiminny automation?

Not yet — Jiminny 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 Jiminny connector?

It researches Jiminny'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 Jiminny's aren't public.

How long does it take?

Minutes to build a first working version, not weeks — you test it against real Jiminny 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 Jiminny 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.

See all FAQs

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