scalekit

A real working agent you can deploy

This repo uses a single SCALEKIT_USER_ID env var to simulate one user. In production, pass each user's real ID as the identifier on every Scalekit call, and send them an authorization link whenever their connector status is not ACTIVE.

01

Authorize, then orchestrate

main.py

Every connection is authorized once via a one-time link. Scalekit refreshes tokens automatically before each daily cron run. main.py verifies all three connectors are ACTIVE at startup: a connector that has lost authorization surfaces a new link rather than letting the brief fail silently.

main.py

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tools = client.actions.langchain.get_tools(
    identifier="user@example.com",
    connection_names=["gong", "attio", "slack"],
)

02

Fetch yesterday's Gong call transcripts

fetch_gong.py

03

Analyze transcripts for risk signals

analyze_calls.py

04

Cross-reference Attio deal context

match_attio.py

05

Post ranked brief to Slack

post_slack.py

Why choose Scalekit

Delegated identity. Not service accounts.

Credentials never touch agent code or LLM context. The agent acts as the user, not as a shared bot.

Delegated OAuth - Agent reads your calendar, your inbox — scoped to the authorizing identity, not org-wide.

Credentials outside agent runtime - Tokens never touch agent code or LLM context. Both failure modes covered.

Token lifecycle automatic - Refresh, expiry, rotation across all connectors. One SDK call. Zero management code.

200+ prebuilt connectors - Google, Slack, HubSpot, GitHub, Jira, Notion, Salesforce — same auth pattern everywhere.

Agents that monitor deal health, without the auth plumbing

Three things you'd otherwise build: Gong OAuth, Attio token storage, Slack credentials. All must refresh before the daily cron fires. Handled.

OAuth flow per connector

One SDK call returns a delegated token for any connector. Google, HubSpot, Slack, same pattern across all 200+ connectors

tools = client.actions.langchain.get_tools(
    identifier=user_id,
    connection_names=["gong", "attio", "slack"],
)
agent = create_tool_calling_agent(llm, tools, prompt)

Secure token vault

Scalekit stores OAuth credentials outside agent code and outside LLM context. Both are separate failure modes. Both covered

client = ScalekitClient(
    env_url=os.environ["SCALEKIT_ENV_URL"],
    client_id=os.environ["SCALEKIT_CLIENT_ID"],
    client_secret=os.environ["SCALEKIT_CLIENT_SECRET"],
)
# Credentials never in agent code or LLM context

Token refresh logic

Token lifecycle handled automatically — expiry, rotation, re-auth — across every connector. Agent runs in 6 months. Same call works

# Day 1 or day 180 — same call works
tools = client.actions.langchain.get_tools(
    identifier=user_id,
    connection_names=["gong", "attio", "slack"],
)

Try other Agent Templates

Prebuilt agents you can ship today

Each one runs on delegated identity, scoped per user.

SALES

Sales call prep agent

Pull Granola notes and Attio contact history to draft a pre-call brief before every sales meeting. Zero rep input.

Granola

Attio

View agent

GTM

CRM AI agent

Log calls, update opportunity stages, and surface stalled deals across HubSpot or Salesforce. No manual data entry.

HubSpot

Salesforce

View agent

SALES

Outbound prospecting agent

Build targeted prospect lists with Apollo, enrich with firmographic data, and draft personalised outreach. Runs on a schedule.

Apollo

View agent

GTM

HubSpot to Slack updates agent

Watch HubSpot deal stage changes and post structured updates to the right Slack channel. Reps stop checking the CRM all day.

HubSpot

Slack

View agent

SUPPORT

Freshdesk CSAT follow-up agent

Google ADK agent that watches low CSAT scores in Freshdesk and drafts personalised follow-ups for support leads.

Freshdesk

View agent

ENGINEERING

Engineering standup agent

Aggregate GitHub and GitLab activity, link to Jira, and post a daily standup digest to Slack. No async updates.

Customize the sample

Clone it and own it with connectors you choose

Don't sweat the integration. Point a coding agent at the repo. It clones, swaps in your connectors, and adds new steps for you.

1

Install a coding agent

terminal

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claude "Set up a deal intelligence agent using Gong, Attio, and Slack via Scalekit"

terminal

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codex "Set up a deal intelligence agent using Gong, Attio, and Slack via Scalekit"

terminal

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gh copilot suggest "Set up a deal intelligence agent using Gong, Attio, and Slack via Scalekit"

terminal

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Open Cursor Composer (Cmd+Shift+I) Paste the prompt from the Prompt tab

terminal

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npx skills add scalekit-inc/skills --skill setup-scalekit

2

Give it this prompt

prompt

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Clone github.com/scalekit-inc/python-connect-demos/langchain. Set connection_names = ["gong", "attio", "slack"]. Build a daily cron agent: fetch Gong call transcripts from the past 24 hours, score each for risk signals (objections, competitor mentions, champion silence), match to Attio deals by attendee email, post a ranked risk brief to Slack. Scalekit refreshes tokens before each cron run. Set SCALEKIT_ENV_URL, SCALEKIT_CLIENT_ID, SCALEKIT_CLIENT_SECRET in .env.

Deal intelligence agents that score risk on-behalf-of your users

How the agent analyzes calls and scores deal risk in five steps

A real working agent you can deploy

Delegated identity. Not service accounts.

Agents that monitor deal health, without the auth plumbing

Prebuilt agents you can ship today

Clone it and own it with connectors you choose

Build your own
‍multi-connector agent

Deal intelligence agents that score risk on-behalf-of your users

How the agent analyzes calls and scores deal risk in five steps

A real working agent you can deploy

Delegated identity. Not service accounts.

Agents that monitor deal health, without the auth plumbing

Prebuilt agents you can ship today

Clone it and own it with connectors you choose

Build your own‍multi-connector agent

Build your own
‍multi-connector agent