Aidbase MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Add Aidbase Faq Item, Add Aidbase Website Knowledge, Check Aidbase Status, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Aidbase 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 Aidbase app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Aidbase Assistant",
instructions=(
"You help users interact with Aidbase. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Aidbase"
)
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 Aidbase MCP Server
Connect your Aidbase account to any AI agent and take full control of your automated customer support and intelligent knowledge management workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 11 tools from Aidbase through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Aidbase, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Chatbot Orchestration — List and manage all configured AI chatbots programmatically, retrieving detailed high-fidelity metadata and configuration settings in real-time
- Knowledge Graph Ingestion — Programmatically update what your AI knows by pushing new website URLs or injecting specific Q&A items into existing FAQs dynamically
- Conversational Intelligence — Send messages and retrieve high-fidelity AI responses from specific chatbots to test performance or integrate chat into custom workflows
- AI Email Inbox Management — Access and monitor your automated email responders and their assigned knowledge bases to ensure perfectly coordinated context application
- Operational Monitoring — Verify API connectivity and retrieve account-level status directly through your agent for instant performance reporting
The Aidbase 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.
All 11 Aidbase tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Aidbase through Vinkius, your AI agent gets direct access to every tool listed below — spanning aidbase, chatbot-api, knowledge-base-automation, 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 FAQ to knowledge base
Add a website to knowledge base
Check API Status
Get Chatbot details
Get AI Inbox details
List Chatbot knowledge items
List all AI Chatbots
List Inbox knowledge items
List Email AI Inboxes
List all Knowledge items
Send a message to a Chatbot
Connect Aidbase to OpenAI Agents SDK via MCP
Follow these steps to wire Aidbase into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Aidbase MCP Server
OpenAI Agents SDK provides unique advantages when paired with Aidbase 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
Aidbase + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Aidbase MCP Server delivers measurable value.
Automated workflows: build agents that query Aidbase, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Aidbase, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Aidbase tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Aidbase to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Aidbase in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Aidbase immediately.
"List all configured chatbots in my Aidbase account."
"Add 'https://docs.vinkius.com/faq' to my AI knowledge base."
"Send a message to chatbot 'bot_123': 'What is your refund policy?'."
Troubleshooting Aidbase MCP Server with OpenAI Agents SDK
Common issues when connecting Aidbase to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Aidbase + OpenAI Agents SDK FAQ
Common questions about integrating Aidbase 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.