GPTBots 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 GPTBots through 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="GPTBots Assistant",
instructions=(
"You help users interact with GPTBots. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from GPTBots"
)
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 GPTBots MCP Server
Connect your GPTBots account to your AI agent and manage your enterprise AI infrastructure conversationally. Interact with your deployed bots, trigger complex automated workflows, and upload new documents to your knowledge bases without leaving your development environment.
The OpenAI Agents SDK auto-discovers all 8 tools from GPTBots through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries GPTBots, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Bot Interaction — List active conversations, review chat histories, and send messages directly to your deployed AI agents
- Knowledge Management — Browse available knowledge documents and upload new content to keep your bots' context up to date
- Workflow Automation — Trigger configured AI workflows and query their execution status programmatically
- Database Queries — List tables and records hosted within the GPTBots platform database
The GPTBots 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 GPTBots to OpenAI Agents SDK via MCP
Follow these steps to integrate the GPTBots 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 GPTBots
Why Use OpenAI Agents SDK with the GPTBots MCP Server
OpenAI Agents SDK provides unique advantages when paired with GPTBots 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
GPTBots + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the GPTBots MCP Server delivers measurable value.
Automated workflows: build agents that query GPTBots, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries GPTBots, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through GPTBots tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query GPTBots to resolve tickets, look up records, and update statuses without human intervention
GPTBots MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect GPTBots to OpenAI Agents SDK via MCP:
create_knowledge_document
Upload or create a document in the Knowledge Base
get_conversation
Get details and history of a specific conversation
list_conversations
List chat conversations with a bot
list_databases
List tables in the platform database
list_knowledge_documents
List documents in a Knowledge Base
query_workflow
Check the execution status of a triggered workflow
send_bot_message
Send a message to a GPTBots Agent
trigger_workflow
Trigger an automated workflow
Example Prompts for GPTBots in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with GPTBots immediately.
"List all recent conversations for bot ID 'bot_123xyz'."
"Trigger the onboarding workflow (ID: 'wf_456') and pass the parameter email='test@example.com'."
Troubleshooting GPTBots MCP Server with OpenAI Agents SDK
Common issues when connecting GPTBots to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
GPTBots + OpenAI Agents SDK FAQ
Common questions about integrating GPTBots 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 GPTBots 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 GPTBots to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.