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SmartChatAI MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Add Pdf To Knowledge Base, Add Text To Knowledge Base, Add Website To Knowledge Base, and more

Built by Vinkius GDPR 12 Tools SDK

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

Ask AI about this App Connector for OpenAI Agents SDK

The SmartChatAI app connector for OpenAI Agents SDK is a standout in the Industry Titans 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="SmartChatAI Assistant",
            instructions=(
                "You help users interact with SmartChatAI. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
SmartChatAI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
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 SmartChatAI MCP Server

Connect your SmartChatAI account to any AI agent to automate your intelligent chatbot orchestration and lead collection. SmartChatAI provides a premier platform for building custom AI bots, and this integration allows you to retrieve chatbot metadata, manage knowledge bases via URL or PDF, and track conversational history through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from SmartChatAI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries SmartChatAI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Chatbot Orchestration — List all managed AI bots and retrieve detailed profile metadata, including status and configuration programmatically.
  • Knowledge Base Lifecycle Management — Add new data sources (URL, PDF, Text) to your bots' knowledge base directly from the AI interface to ensure they are always informed.
  • Message & Reply Control — Send automated replies and retrieve detailed chat history to maintain high-quality customer interactions via natural language.
  • Web Scraper Automation — Trigger website scraping to ingest content into your AI models and ensure your bots have the latest information.
  • Operational Monitoring — Track system health, manage webhooks, and monitor bot activity to ensure your conversational platform is always optimized.

The SmartChatAI 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 SmartChatAI tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to SmartChatAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-orchestration, knowledge-base, lead-collection, 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.

add_pdf_to_knowledge_base

Train bot using a PDF

add_text_to_knowledge_base

Train bot using raw text

add_website_to_knowledge_base

Train bot using a URL

check_api_health

Verify SmartChatAI API status

create_new_ai_bot

Requires a name and optional initial prompt. Provision a new AI agent

get_authenticated_user_profile

Get account profile

get_bot_chat_history

Retrieve conversation transcripts

get_chatbot_details

Get configuration for a specific bot

list_ai_chatbots

List all AI chatbots

list_configured_webhooks

List active webhooks

message_ai_chatbot

Send a message and get AI reply

scrape_domain_links

Discover and index domain links

Connect SmartChatAI to OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from SmartChatAI

Why Use OpenAI Agents SDK with the SmartChatAI MCP Server

OpenAI Agents SDK provides unique advantages when paired with SmartChatAI through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

SmartChatAI + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for SmartChatAI in OpenAI Agents SDK

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

01

"List all active AI bots in my SmartChatAI account."

02

"Show me all active chatbot conversations with their resolution rates and average response times."

03

"Train the chatbot with 10 new FAQ entries about our refund and return policies."

Troubleshooting SmartChatAI MCP Server with OpenAI Agents SDK

Common issues when connecting SmartChatAI to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

SmartChatAI + OpenAI Agents SDK FAQ

Common questions about integrating SmartChatAI MCP Server with OpenAI Agents SDK.

01

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.
02

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.
03

Does the SDK support streaming responses?

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