How to Use the Chanty MCP in OpenAI Agents SDK

Q: How does caching work with Chanty on OpenAI Agents SDK?

Set cacheToolsList=True during your server configuration. This prevents the MCP Server from repeatedly fetching the tool schema, making your agent runs significantly faster.

Run safe, production-grade automated team communication in Chanty using the OpenAI Agents SDK.

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Connect Chanty MCP to OpenAI Agents SDK

Create your Vinkius account to connect Chanty to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Chanty with OpenAI Agents SDK

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Control Chanty conversations with OpenAI Agents SDK

The `create_conversation` tool lets your agent bootstrap empty chat rooms dynamically. It initializes clean, dedicated channels on demand and clears out old, unused spaces using `delete_conversation` without manual intervention. This setup keeps your team workspace clean. By feeding these tools to your OpenAI agent, you let it structure communication channels based on real-time project updates.

Secure message dispatch and moderation

Posting updates with the `send_message` tool drops high-priority alerts directly into team chats. If an agent posts incorrect data or needs to correct a mistake, it instantly runs `delete_message` to clean up the channel history. You get full tracing on the OpenAI dashboard for every action. The SDK handles the heavy lifting, ensuring your automated messages hit the right channels with zero lag.

Automated team roster management

Sending invites with the `invite_member` tool scales your workspace by triggering email invites for new hires. It pulls current user lists with `list_members` to verify who already has access before sending duplicates. This MCP Server integration handles team scaling automatically. Your python-based agent coordinates onboarding without requiring you to click through settings panels.

Setup guide

Set up Chanty MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Chanty tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Chanty tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Chanty tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Chanty Agent",
            instructions="You have access to Chanty tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Chanty MCP in OpenAI Agents SDK

Install the package using pip, then initialize the connection using `MCPServerStreamableHttp` with your Vinkius endpoint. Pass this server instance directly inside the `mcp_servers` list when instantiating your agent.

Yes, you control this through the SDK's built-in guardrails. You can limit your agent to read-only tools like `list_messages` or grant full write access depending on the agent's specific role.

Set `cacheToolsList=True` during your server configuration. This prevents the MCP Server from repeatedly fetching the tool schema, making your agent runs significantly faster.

The SDK captures the error immediately. Your agent can inspect the failure, adjust the payload, and attempt to run `send_message` again.

Vinkius processes your Chanty API tokens and raw messages inside an isolated V8 sandbox. No message data is stored on our servers, and all active sessions are completely ephemeral.

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