How do I find my ManyChat API Token?

Go to ManyChat Settings > API and click 'Generate Token'.

Can I send flows automatically?

Yes! Use the `send_flow` tool with the subscriber ID and flow namespace.

Your token is encrypted at rest and injected securely at runtime.

ManyChat MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes

Name: ManyChat
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ManyChat 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="ManyChat Assistant",
            instructions=(
                "You help users interact with ManyChat. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 ManyChat MCP Server

Connect your ManyChat account to any AI agent and take full control of your messenger marketing automation through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from ManyChat through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries ManyChat, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Subscriber Management — Get detailed info, find subscribers by name or custom fields
Tagging — Add or remove tags to segment your audience on the fly
Flow Automation — Send specific flows to subscribers or list available flows
Custom Fields — Set and query custom field values for personalized interactions

The ManyChat MCP Server exposes 11 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 ManyChat to OpenAI Agents SDK via MCP

Follow these steps to integrate the ManyChat 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 11 tools from ManyChat

Why Use OpenAI Agents SDK with the ManyChat MCP Server

OpenAI Agents SDK provides unique advantages when paired with ManyChat 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

ManyChat + OpenAI Agents SDK Use Cases

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

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

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

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

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

ManyChat MCP Tools for OpenAI Agents SDK (11)

These 11 tools become available when you connect ManyChat to OpenAI Agents SDK via MCP:

add_tag

Add a tag to a subscriber

find_subscriber_by_custom_field

Find subscribers by custom field value

find_subscriber_by_name

Find subscribers by name

get_subscriber_flows

Get all flows assigned to a subscriber

get_subscriber_info

Get subscriber information by ID

get_subscriber_tags

Get all tags assigned to a subscriber

list_custom_fields

List all custom fields on the page

list_tags

List all tags on the page

remove_tag

Remove a tag from a subscriber

send_flow

Send a flow to a subscriber

set_custom_field

Set a custom field value for a subscriber

Example Prompts for ManyChat in OpenAI Agents SDK

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

"Find subscriber info for ID 12345678."

"Add the 'VIP' tag to subscriber 12345678."

"List all tags on my ManyChat page."

Troubleshooting ManyChat MCP Server with OpenAI Agents SDK

Common issues when connecting ManyChat 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.

ManyChat + OpenAI Agents SDK FAQ

Common questions about integrating ManyChat 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.