Intercom MCP | Oauth 2.0 Intercom connector for AI agents

CALL ANY TOOL

List and reply to conversations, search contacts, assign tickets, and retrieve full message history.

intercom_conversations_list

List conversations

List Intercom conversations with status, assignee, and tag filters.

Parameters

Name

Type

Required

Description

state

string

Optional

State: open, closed, snoozed

assigned_to

string

Optional

Admin ID filter

tag_id

string

Optional

Tag filter

limit

integer

Optional

Max conversations

intercom_conversation_get

Get conversation

intercom_conversation_reply

Reply to conversation

intercom_contacts_search

Search contacts

intercom_contact_get

Get contact

intercom_conversation_assign

Assign conversation

Build your Agent

Drop the toolkit in, point it at the user, and your support agent can use Intercom from the first run.

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import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["intercom"], toolNames: ["intercom_conversations_list", "intercom_conversation_get", "intercom_conversation_reply"] },
  pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  schema: z.object({}).passthrough(),
  func: async (args) => {
    const { data } = await sk.tools.executeTool({
      toolName: t.tool.definition.name,
      identifier: "user_123",
      params: args,
    });
    return JSON.stringify(data);
  },
}));

const agent = createReactAgent({ llm, tools: lcTools });

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

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["intercom"], toolNames: ["intercom_conversations_list", "intercom_conversation_get", "intercom_conversation_reply"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  type: "function",
  function: {
    name: t.tool.definition.name,
    description: t.tool.definition.description,
    parameters: t.tool.definition.input_schema,
  },
}));

const resp = await openai.responses.create({
  model: "gpt-4o", input: prompt, tools: llmTools,
});

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

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["intercom"], toolNames: ["intercom_conversations_list", "intercom_conversation_get", "intercom_conversation_reply"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
  model: "claude-sonnet-4-6", max_tokens: 1024,
  tools: llmTools,
  messages: [{ role: "user", content: prompt }],
});

Copied

import { Agent } from "@google/adk/agents";
import {
  MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
  connectionParams: new StreamableHTTPConnectionParams({
    url: "https://mcp.scalekit.com/intercom",
    headers: { Authorization: `Bearer ${userScopedToken}` },
  }),
});

const agent = new Agent({
  name: "agent", model: "gemini-2.0-flash",
  tools: await toolset.getTools(),
});

Try these prompts

Paste any prompt into your agent to start using Intercom.

Triage & escalation

Copy the prompt

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List all open conversations unassigned for 4+ hours.

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Find conversations from [account name].

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Show me all conversations tagged [tag].

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Which conversations are snoozed until today?

Action & replies

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Reply to conversation [id]: [text].

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Assign conversation [id] to [admin].

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Add a private note to [conversation id]: [note].

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Close conversation [id] with reason [reason].

Contacts & reporting

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Search contacts by email [email].

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Get conversation history for [contact].

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How many open conversations by team?

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List conversations with CSAT score below 3.

SEE HOW AUTH WORKS

Users authorize Intercom once. Their credentials stay vaulted, every call is checked, and every action is logged.

1

Authorize

Your user connects

Intercom

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

Intercom

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

Intercom

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

Intercom

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

Same per-user auth pattern across other support agents and MCP connectors. Working code, live demos, fork what fits.

SUPPORT

Support ticket automation (Google ADK)

Google ADK agent that classifies Zendesk tickets, pulls Notion context, and posts to Slack. End-to-end ticket handoff.

SUPPORT

Support triage agent

Read Zendesk tickets, fetch runbooks from Notion, and route to the right Slack channel with a drafted response.

Why Scalekit

Secure your agent's access. Connectors ship in minutes

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

01.

Shared tokens break per-user analytics

A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential so attribution, audit, and scope stay accurate.

// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

Intercom 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 Intercom as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Intercom oauth 2.0 stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Intercom?
Yes. Pass a tool name filter to listScopedTools so the support agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Intercom.

What happens when a user revokes Intercom access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Can the agent reply to conversations assigned to other agents?
Depends on the authorizing user's Intercom role. Admins can send from any inbox; agents typically operate on their own assigned conversations. Team permissions and assignment rules apply at every call.

Intercom

Tools your support agent reaches for on Intercom, scoped per user.