How to Use the Chatsistant MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK agents query Chatsistant data?

Yes, your agent performs lookups by invoking the querybot tool. It reads directly from the indexed knowledge base you have set up.

Connect Chatsistant to your OpenAI Agents SDK codebase to manage bot knowledge and conversation logs with strict safety guardrails.

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Connect Chatsistant MCP to OpenAI Agents SDK

Create your Vinkius account to connect Chatsistant 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 Chatsistant with OpenAI Agents SDK

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Manage your knowledge bases with OpenAI Agents SDK

Feed your custom knowledge bases into your production agents by using `add_data_source`. The server handles the ingestion so your agents stay focused on interpreting the provided context. Running `list_data_sources` lets you audit exactly what information your agent can access. You'll see the current configuration status before the agent attempts a query.

Trace conversation history via OpenAI Agents SDK

Pull specific chat logs directly into your agent logic using `get_conversation`. This gives your system the exact history required to generate accurate follow-up responses for your clients. Use `list_conversations` to filter logs by bot ID. It keeps your data tidy and ensures your agent only processes relevant interaction threads.

Automate bot oversight with OpenAI Agents SDK

Call `get_bot` to grab the current state and settings of any deployed assistant. Your agent can now verify bot branding and configuration parameters in real-time. `list_bots` provides a snapshot of your entire fleet. Your agent uses this to map out which bots require updates or interaction analysis.

Setup guide

Set up Chatsistant 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 Chatsistant tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Chatsistant 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="Chatsistant Agent",
            instructions="You have access to Chatsistant tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chatsistant. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Chatsistant MCP in OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class. Pass your Vinkius endpoint into the constructor and add the server to your Agent instance configuration.

Yes, your agent performs lookups by invoking the `query_bot` tool. It reads directly from the indexed knowledge base you have set up.

You should enable cacheToolsList in your agent setup. This prevents redundant network calls when the agent decides which tool to execute.

The OpenAI Agents SDK handles the error based on your defined fault logic. You get a trace in your dashboard showing exactly where the request stalled.

We keep your conversation logs and knowledge base content encrypted in transit. The server only exposes the specific records you authorize through your endpoint token.

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