Gong MCP connector for AI agents

CALL ANY TOOL

Query your revenue intelligence over MCP: account answers, deal answers, and structured briefs synthesized from Gong calls and messages.

gongmcp_ask_account

Ask about an account

Answer natural-language questions about a CRM account by analyzing Gong calls and messages in a time range. Returns synthesized insights, not raw data.

Parameters

Name

Type

Required

Description

crmAccount

string

Required

The CRM account name (e.g. 'Cisco Systems Inc') or direct CRM ID. Name lookup uses exact matching.

question

string

Required

Natural-language question about the account: themes, risks, blockers, stakeholders, goals, or next steps.

fromDateTime

string

Optional

Inclusive start of the activity window in ISO 8601 with timezone. Omit both dates to default to the last 30 days.

toDateTime

string

Optional

Inclusive end of the activity window in ISO 8601 with timezone. Must be later than fromDateTime.

workspace

string

Optional

Required when the account has multiple workspaces. Numeric workspace ID or case-insensitive name.

gongmcp_ask_deal

Ask about a deal

gongmcp_generate_brief

Generate a brief

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);

// Gong tools scoped to this user
const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["gongmcp"], toolNames: [
    "gongmcp_ask_account",
    "gongmcp_ask_deal",
    "gongmcp_generate_brief"] },
  pageSize: 100,
});

const agent = createReactAgent({ llm, tools });
await agent.invoke({ messages: [{ role: "user", content: "What risks came up on the Acme Corp renewal?" }] });

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: ["gongmcp"] }, pageSize: 100,
});

const res = await openai.chat.completions.create({
  model: "gpt-5",
  messages: [{ role: "user", content: "Summarize objections on the Globex expansion deal." }],
  tools,
});

// Execute the tool call with the user's vaulted Gong 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: ["gongmcp"] }, pageSize: 100,
});

const msg = await anthropic.messages.create({
  model: "claude-sonnet-5",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Who are the key stakeholders at Cisco Systems?" }],
  tools,
});

// Tool call runs with the user's vaulted Gong 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: ["gongmcp"] }, pageSize: 100,
});

const agent = new Agent({
  name: "gong_revenue_agent",
  model: "gemini-2.5-pro",
  instruction: "Answer deal and account questions from Gong for the signed-in user.",
  tools,
});

await agent.run("Generate a Key Players brief for the Acme Corp account.");

Try these prompts

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

Deal risk & review

Copy the prompt

Copied

What risks came up on the Acme Corp renewal in the last 30 days?

Copy the prompt

Copied

Summarize objections on the Globex expansion deal.

Copy the prompt

Copied

Has pricing come up on the Initech opportunity since October 1?

Account intelligence

Copy the prompt

Copied

Who are the key stakeholders at Cisco Systems based on recent calls?

Copy the prompt

Copied

What business goals has Acme Corp mentioned this quarter?

Copy the prompt

Copied

Any competitor mentions across Globex activity in the last 90 days?

Briefs & handovers

Copy the prompt

Copied

Generate a Key Players brief for the Acme Corp account.

Copy the prompt

Copied

Build a Pain Points brief for the Globex deal before Friday's review.

Copy the prompt

Copied

Prep a handover brief for the Initech contact covering the last 90 days.

SEE HOW AUTH WORKS

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

1

Authorize

Your user connects

Gong MCP

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

Gong MCP

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

Gong MCP

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

Gong MCP

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 revenue connectors.

SALES

Deal intelligence agent

Combine Gong, Attio, and Slack signals to surface deal risks and next-best actions. Updated after every call.

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

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought. Scalekit starts with identity, scope enforcement, and audit. Connectors follow.

01.

Shared tokens break per-user analytics

A shared Gong token looks fine in a demo. In production every deal question runs as one service account: reps can reach calls they should never see, and you cannot tell who asked what. 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.

Gong 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 Gong 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 account question and brief in your audit trail is attributed to a real user, not a shared service account. Gong's own visibility rules apply per user.

Where is the Gong 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 Gong?

Yes. Filter by tool name in listScopedTools to expose only what you want, for example deal questions without brief generation. Scalekit also enforces scope checks before every API call, and you choose the authorization scopes when you create the Gong integration.

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.

How is Gong MCP different from the Gong REST connector?

The Gong connector exposes raw API endpoints: list calls, pull transcripts, fetch stats. Gong MCP delivers tools over the Model Context Protocol that return synthesized answers about accounts, deals, and contacts, so your agent gets insights instead of payloads to parse. Scalekit vaults and scopes both the same way, behind one auth layer.

Gong MCP

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