Can I search for contacts and send messages through the AI agent?

Yes. Use `search_contacts` to find contacts by email, name, or custom attributes. Then use `send_message` to send a message to a specific contact, or reply to an active conversation thread.

Can I view full conversation histories?

Yes. `list_conversations` shows all conversations with status. Use `get_conversation` with a conversation ID to retrieve the full message thread including sender, timestamps, and content.

What type of Intercom token do I need?

You need an **Access Token** from a Private App in the Intercom Developer Hub. This provides scoped API access with Bearer authentication against `api.intercom.io`.

INSTANT PLUG AND PLAY

Intercom MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Contact, Create Conversation, Get Contact Details, and more

Name: Intercom
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Intercom app connector for OpenAI Agents SDK is a standout in the Talk To Me category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 12 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

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DLPData protection

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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 your Intercom account to any AI agent and manage customer communications through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 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 Vinkius.

What you can do

Contact Management — List contacts, inspect profiles with tags and custom attributes, and search by email or name
Conversation Tracking — Browse all conversations, inspect threads with full message history, and monitor status
Messaging — Send messages to contacts and reply to active conversations
Company Records — List companies, inspect profiles with user counts and custom data
CRM Search — Search contacts and companies using Intercom's query syntax
Admin Management — List all team members and their roles

The Intercom MCP Server exposes 12 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.

All 12 Intercom tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Intercom through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-ai, helpdesk, customer-messaging, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_contact

create_conversation

Start a new conversation

get_contact_details

Get details for a contact

get_conversation_details

Get conversation history

list_admins

List workspace admins

list_contacts

List Intercom contacts

list_conversations

List recent conversations

list_data_attributes

List custom attributes

list_help_articles

List help center articles

list_segments

List workspace segments

reply_to_conversation

Reply to a conversation

search_contacts

Search contacts with filters

Connect Intercom to OpenAI Agents SDK via MCP

Follow these steps to wire Intercom into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 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

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.

"Show all open conversations and the contact details for the most recent one."

"Search for all contacts at acmecorp.com and list their companies."

"Send a follow-up message to Ana Costa and list all team admins."

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.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.