Chatwoot MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Chatwoot through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Chatwoot Assistant",
instructions=(
"You help users interact with Chatwoot. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Chatwoot"
)
print(result.final_output)
asyncio.run(main())
* 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 Chatwoot MCP Server
Connect your Chatwoot account to any AI agent and take full control of your customer support and engagement through natural conversation. Streamline how you manage chats across Web, WhatsApp, Facebook, and more.
The OpenAI Agents SDK auto-discovers all 8 tools from Chatwoot through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Chatwoot, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Conversation Oversight — List and retrieve details for all active and resolved conversations natively
- Live Replying — Send messages to customers in active chat sessions flawlessly
- Contact Management — List and retrieve detailed customer contact information and history securely
- Inbox Intelligence — Monitor all configured inboxes, including Web widgets and social integrations flawlessly
- Agent Tracking — List all support agents and manage team availability in real-time
- Message History — Access complete chat histories to understand customer context directly within your workspace
The Chatwoot MCP Server exposes 8 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 Chatwoot to OpenAI Agents SDK via MCP
Follow these steps to integrate the Chatwoot 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 8 tools from Chatwoot
Why Use OpenAI Agents SDK with the Chatwoot MCP Server
OpenAI Agents SDK provides unique advantages when paired with Chatwoot 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
Chatwoot + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Chatwoot MCP Server delivers measurable value.
Automated workflows: build agents that query Chatwoot, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Chatwoot, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Chatwoot tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Chatwoot to resolve tickets, look up records, and update statuses without human intervention
Chatwoot MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Chatwoot to OpenAI Agents SDK via MCP:
get_chat_history
Retrieve the message history for a specific conversation
get_contact_details
Get detailed information for a specific customer contact
get_conversation_details
Get detailed information for a specific conversation
list_chatwoot_contacts
List all customer contacts
list_chatwoot_inboxes
List all configured inboxes (Web, WhatsApp, etc)
list_support_agents
List all support agents in the account
list_woot_conversations
List all conversations in the account
send_chat_message
Send a message to a customer in a specific conversation
Example Prompts for Chatwoot in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Chatwoot immediately.
"List all active conversations in Chatwoot."
"What did the customer in conversation ID 555 say last?"
"Reply to conversation 555: 'I'll look into this right now for you, Sarah.'"
Troubleshooting Chatwoot MCP Server with OpenAI Agents SDK
Common issues when connecting Chatwoot to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Chatwoot + OpenAI Agents SDK FAQ
Common questions about integrating Chatwoot MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
Connect Chatwoot with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Chatwoot to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.