How do I get my Intercom Access Token?

Go to the **Intercom Developer Hub** at **app.intercom.com/a/developer-hub/**. Click **New app**, give it a name, and select the workspace to install it in. Once created, click on your app, then navigate to **Authentication** in the left sidebar. Your **Access Token** will be displayed on this page. Configure the required permissions (scopes) — such as Read/Write People, Conversations, or Companies — and click **Save**. Copy the token and paste it below.

Can I look up a customer's full conversation history instantly?

Yes. Just ask your AI agent 'Show me all conversations with john@acme.com' and it retrieves every conversation — open, closed, and snoozed — including message content, agent assignments, tags, and resolution times. Perfect for getting full context before a customer call.

Can I track support team performance metrics?

Yes. Your AI agent can pull conversation counts, average response times, resolution rates, and open ticket volumes — giving managers instant visibility into team workload and SLA compliance without building custom reports or opening the Intercom analytics dashboard.

Is my customer data secure?

Your Access Token is a private app token that only accesses data in your own Intercom workspace. It respects your workspace's permission model — the token only has access to the scopes you explicitly grant. All API calls are made over HTTPS, and the token is never shared with third parties.

Intercom MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Intercom
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Intercom through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Intercom Assistant",
            instructions=(
                "You help users interact with Intercom. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Intercom"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Intercom MCP Server

Connect Intercom to your AI agent and manage your customer communications and support operations conversationally.

The OpenAI Agents SDK auto-discovers all 10 tools from Intercom through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Intercom, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Conversation Management — List, search, and manage customer conversations with status, assignment, and SLA data.
Contact Search — Query your customer database by email, name, company, or custom attributes to find specific users.
Company Data — Retrieve company profiles, plan information, and aggregate usage metrics.
Support Analytics — Pull conversation counts, response times, and resolution metrics for team performance reviews.

The Intercom MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Intercom to OpenAI Agents SDK via MCP

Follow these steps to integrate the Intercom MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Intercom

Why Use OpenAI Agents SDK with the Intercom MCP Server

OpenAI Agents SDK provides unique advantages when paired with Intercom through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Intercom + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Intercom MCP Server delivers measurable value.

Automated workflows: build agents that query Intercom, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Intercom, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Intercom tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Intercom to resolve tickets, look up records, and update statuses without human intervention

Intercom MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Intercom to OpenAI Agents SDK via MCP:

get_contact

Get contact details

get_conversation

Get conversation thread

list_admins

List team members

list_articles

List help center articles

list_companies

List all companies

list_contacts

List all contacts/leads

list_conversations

List all conversations

list_tags

List all tags

reply_to_conversation

Reply to a conversation

search_contacts

Search contacts by criteria

Example Prompts for Intercom in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Intercom immediately.

"Find the contact record for sarah@startup.io."

"How many open conversations do we have right now?"

"List all companies on our Enterprise plan."

Troubleshooting Intercom MCP Server with OpenAI Agents SDK

Common issues when connecting Intercom to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Intercom + OpenAI Agents SDK FAQ

Common questions about integrating Intercom MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.