Weflow connector for AI agents

CALL ANY TOOL

List meeting recordings, transcripts, clips, and summaries in Weflow using the signed-in user's bearer token.

weflow_recordings_list

List recordings

List call and meeting recordings for the company, newest first, with optional date, Salesforce event, and pagination filters.

Parameters

Name

Type

Required

Description

cursor

string

Optional

Pagination cursor from a previous response nextCursor field. Leave unset for the first page.

endDate

string

Optional

Only return recordings on or before this ISO 8601 datetime.

limit

integer

Optional

Recordings per page, from 1 to 100. Defaults to 20.

sfEventId

string

Optional

Only return the recording linked to this Salesforce event id.

startDate

string

Optional

Only return recordings on or after this ISO 8601 datetime.

weflow_recording_get

Get recording

weflow_recording_transcript_get

Get transcript

weflow_recording_summary_get

Get summary

weflow_summary_templates_list

List summary templates

weflow_recording_video_get

Get recording video

weflow_recording_clips_list

List clips

weflow_recording_comments_list

List comments

weflow_recording_interaction_metrics_list

List interaction metrics

weflow_recording_scorecards_list

List scorecards

weflow_recording_trackers_list

List trackers

Build your Agent

Same bearer token vault and scoped tool list across LangChain, OpenAI, Anthropic, and Google ADK.

import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
const sk = new ScalekitClient(
  process.env.SCALEKIT_ENVIRONMENT_URL,
  process.env.SCALEKIT_CLIENT_ID,
  process.env.SCALEKIT_CLIENT_SECRET,
);
const page = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["weflow"], toolNames: [
    "weflow_recordings_list",
    "weflow_recording_transcript_get",
    "weflow_recording_summary_get",
  ]}, pageSize: 100,
});

import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";
const sk = new ScalekitClient(
  process.env.SCALEKIT_ENVIRONMENT_URL,
  process.env.SCALEKIT_CLIENT_ID,
  process.env.SCALEKIT_CLIENT_SECRET,
);
const page = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["weflow"], toolNames: [
    "weflow_recordings_list",
    "weflow_recording_transcript_get",
    "weflow_recording_summary_get",
  ]}, pageSize: 100,
});
const openai = new OpenAI();

import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";
const sk = new ScalekitClient(
  process.env.SCALEKIT_ENVIRONMENT_URL,
  process.env.SCALEKIT_CLIENT_ID,
  process.env.SCALEKIT_CLIENT_SECRET,
);
const page = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["weflow"], toolNames: [
    "weflow_recordings_list",
    "weflow_recording_transcript_get",
    "weflow_recording_summary_get",
  ]}, pageSize: 100,
});
const anthropic = new Anthropic();

import { ScalekitClient } from "@scalekit-sdk/node";
const sk = new ScalekitClient(
  process.env.SCALEKIT_ENVIRONMENT_URL,
  process.env.SCALEKIT_CLIENT_ID,
  process.env.SCALEKIT_CLIENT_SECRET,
);
const page = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["weflow"], toolNames: [
    "weflow_recordings_list",
    "weflow_recording_transcript_get",
    "weflow_recording_summary_get",
  ]}, pageSize: 100,
});

Try these prompts

Copy a prompt into your agent. Each one maps to Weflow meeting recordings for the signed-in user.

Coaching and next steps

Copy the prompt

Copied

Which discovery calls last week have a Weflow recording I can review?

Copy the prompt

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Summarize talk ratio and questions asked on the last Acme recording.

Copy the prompt

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What coaching scorecards ran on yesterday's Globex call?

Transcripts and recall

Copy the prompt

Copied

Pull the transcript for yesterday's Globex pricing call.

Copy the prompt

Copied

What did the buyer say about budget on the Initech recording?

Copy the prompt

Copied

List Weflow recordings from the last 14 days.

Clips and trackers

Copy the prompt

Copied

Show saved clips from the last Acme discovery recording.

Copy the prompt

Copied

Which tracked keywords came up on the Umratech call?

Copy the prompt

Copied

Get the default AI summary for the latest Initech demo.

SEE HOW AUTH WORKS

Your users connect once. Their Weflow bearer tokens stay vaulted, every call is checked, and every action is logged.

1

Authorize

Your user connects

Weflow

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

2

Store

Their

Weflow

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

3

Resolve

When your agent calls a

Weflow

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

4

Audit

Every

Weflow

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

Reuse the same per-user bearer token vault and audit chain on other call intelligence and CRM connectors.

No items found.

Test other agents

Reuse the same per-user bearer token vault and audit chain on other call intelligence and CRM connectors.

No items found.

Why Scalekit

Secure your agent's access. Connectors ship in minutes

01.

Shared tokens break per-user analytics

A shared Weflow bearer token makes every transcript lookup look like a bot. Scalekit resolves the credential of the actual user who triggered the agent, never a shared bot.

// shared key
audit → bot_acct

// scalekit
audit → user_abc ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

Weflow today. Others tomorrow.

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

FAQs

Frequently Asked Questions

Does the agent access Weflow as the user or a shared key?

Per-user resolution. Each tool call uses the signed-in user's Weflow bearer token, so meeting recordings and transcripts attribute to that user in the audit log.

Where is the Weflow token stored?

In Scalekit's AES-256 vault, namespaced per tenant. You revoke access from one dashboard without rotating a shared secret across every agent.

Can I limit what the agent does in Weflow?

Yes. Filter tool names in listScopedTools (for example weflow_recordings_list only) and Scalekit checks that scope before the API call.

What happens when a user revokes access?

The next Weflow tool call fails closed for that user. Other users and other connectors are unaffected. The revoke is logged.

Does the agent see every recording in the workspace?

Only the meeting recordings the authorized Weflow bearer token can already read. Scalekit does not broaden that access; it vaults and scopes the existing token.

Weflow

Tools your revenue agent reaches for on Weflow, scoped per user.