HappyScribe connector for AI agents

Tools your meeting agent reaches for on HappyScribe, scoped per user.

CALL ANY TOOL

Search, summarize, and organize transcriptions end to end, scoped to each user's own HappyScribe workspace.

happyscribemcp_create_folder

Create folder

Create a new folder in the workspace. Folders help organize transcriptions by project, client, or any other grouping.

Parameters

Name

Type

Required

Description

name

string

Required

Folder name

parent_id

integer

Optional

Parent folder ID. Omit to create at workspace root.

happyscribemcp_create_summary_template

Create summary template

happyscribemcp_delete_folder

Delete folder

happyscribemcp_delete_summary_template

Delete summary template

happyscribemcp_get_conversation

Get conversation

happyscribemcp_get_folder_hierarchy

Get folder hierarchy

happyscribemcp_get_glossary

Get glossary

happyscribemcp_get_meeting_diagnostics

Get meeting diagnostics

happyscribemcp_get_project

Get project

happyscribemcp_get_summary_template

Get summary template

happyscribemcp_get_transcriptions

Get transcriptions

happyscribemcp_get_video_frames

Get video frames

happyscribemcp_list_calendar_events

List calendar events

happyscribemcp_list_conversations

List conversations

happyscribemcp_list_glossaries

List glossaries

happyscribemcp_list_projects

List projects

happyscribemcp_list_read_files

List read files

happyscribemcp_list_summary_templates

List summary templates

happyscribemcp_move_transcriptions

Move transcriptions

happyscribemcp_reassign_speakers

Reassign speakers

happyscribemcp_regenerate_summary

Regenerate summary

happyscribemcp_rename_speakers

Rename speakers

happyscribemcp_rename_transcription

Rename transcription

happyscribemcp_replace_text_in_transcript

Replace text in transcript

happyscribemcp_search_helpdesk

Search helpdesk

happyscribemcp_search_transcriptions

Search transcriptions

happyscribemcp_set_meeting_template

Set meeting template

happyscribemcp_update_project_notes

Update project notes

happyscribemcp_update_summary_template

Update summary template

happyscribemcp_upload_file

Upload file

For more tools, view docs.

Build your Agent

Same auth pattern across LangChain, OpenAI, Anthropic, and Google ADK.

import { ScalekitClient } from "@scalekit-sdk/node";
import { createReactAgent } from "@langchain/langgraph/prebuilt";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);

// HappyScribe tools scoped to this user
const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["happyscribemcp"], toolNames: [
    "happyscribemcp_search_transcriptions",
    "happyscribemcp_create_transcription",
    "happyscribemcp_get_folder_hierarchy"] },
  pageSize: 100,
});

const agent = createReactAgent({ llm, tools });
await agent.invoke({ messages: [{ role: "user", content: "Search this week's transcripts for churn risk mentions" }] });

import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["happyscribemcp"] }, pageSize: 100,
});

const res = await openai.chat.completions.create({
  model: "gpt-5",
  messages: [{ role: "user", content: "Search this week's transcripts for churn risk mentions" }],
  tools,
});

// Execute the tool call with the user's vaulted happyscribemcp credential
await sk.tools.executeTool(res.choices[0].message.tool_calls[0], "user_123");

import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["happyscribemcp"] }, pageSize: 100,
});

const msg = await anthropic.messages.create({
  model: "claude-sonnet-5",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Search this week's transcripts for churn risk mentions" }],
  tools,
});

// Tool call runs with the user's vaulted happyscribemcp credential
await sk.tools.executeTool(msg.content, "user_123");

import { Agent } from "@google/adk/agents";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["happyscribemcp"] }, pageSize: 100,
});

const agent = new Agent({
  name: "happyscribemcp_agent",
  model: "gemini-2.5-pro",
  instruction: "HappyScribe tools scoped to this user",
  tools,
});

await agent.run("Search this week's transcripts for churn risk mentions");

Try these prompts

Copy any prompt into your agent. Each maps directly to a HappyScribe tool. Click to copy, paste into your agent, done.

Search transcripts

Copy the prompt

Copied

Search this week's transcripts for mentions of 'churn risk'.

Copy the prompt

Copied

Find and replace 'Q3' with 'Q4' in transcription 8821.

Copy the prompt

Copied

Get the folder hierarchy under the Sales root folder.

Summaries and templates

Copy the prompt

Copied

Create a summary template for weekly engineering standups.

Copy the prompt

Copied

Update the customer-call summary template to add a Risks section.

Copy the prompt

Copied

Set the meeting summary template to 'Sales Call' for future meetings.

Organize and clean up

Copy the prompt

Copied

Create a folder named Q4 Renewals under Customer Calls.

Copy the prompt

Copied

Delete transcriptions 8821 and 8822.

Copy the prompt

Copied

Upload this recording for transcription in English.

SEE HOW AUTH WORKS

Your users connect once. Their HappyScribe credentials stay vaulted, every call is checked, and every action is logged.

Authorize

Your user connects

HappyScribe

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

Store

Their

HappyScribe

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

Resolve

When your agent calls a

HappyScribe

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

Audit

Every

HappyScribe

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

See the same per-user auth pattern across other meeting and transcription connectors.

GTM and RevOps Teams

CRM AI agent

Reads the Granola transcript after every call, extracts next steps and updates the HubSpot record, drafts the follow-up in Gmail, and confirms in Slack, all on the rep's own delegated OAuth.

GTM and RevOps Teams

Sales call prep agent

Reads tomorrow's calls from Google Calendar, mines past Granola notes and Attio history for context, and delivers each rep a prep brief in Slack, scoped to the calls that rep actually owns.

GTM and RevOps Teams

Deal intelligence agent

Pulls recent Gong calls, scores deal risk with an LLM, cross-references the record in Attio, and DMs each owner their at-risk deals in Slack. Every read is scoped to that rep's own access.

GTM and RevOps Teams

Competitive intelligence briefing agent

Scans Gong calls for competitor mentions, matches each one to its Notion battlecard, and DMs every affected rep a single Slack digest per cycle. Every call runs as the PMM who owns the briefing, never a shared bot.

Why Scalekit

Secure your agent's access. Connectors ship in minutes

01.

Shared tokens break per-user analytics

A shared HappyScribe token looks fine in a demo. In production every transcript looks like one service account, and you cannot tell which user triggered it. Scalekit resolves the credential of the actual user who triggered the agent, never a shared bot.

// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

HappyScribe today. Ten connectors 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 HappyScribe as the user or through a shared key?

As the user. Scalekit resolves the credential of the person who triggered the agent at request time, so every HappyScribe action in your audit trail is attributed to a real user, not a shared service account.

Where is the HappyScribe token stored?

In an AES-256 encrypted vault with per-tenant namespacing. Tokens are resolved at request time, never enter LLM context, refresh automatically, and can be revoked from one dashboard.

Can I limit what the agent does in HappyScribe?

Yes. Filter by tool name in listScopedTools to expose only what you want. Scalekit also enforces scope checks before every API call.

What happens when a user revokes access?

The credential is invalidated at the next tool call. The call fails closed, other users' connections are unaffected, and the revocation is logged in the audit chain.

Can the agent search transcripts across the whole workspace or just one folder?

Both. search_transcriptions searches the full workspace by default; pass folder_id to restrict results to a specific project or client folder.

On this page

Tool and actions Framework Compatibility Starter Prompt Auth Lifecycle Try Other Agents Why Scalekit