Retool MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Retool through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
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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="Retool Assistant",
instructions=(
"You help users interact with Retool. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Retool"
)
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 Retool MCP Server
Connect your conversational assistant directly to the Retool ecosystem. This integration enables your AI to explore the organizational structure of your internal tools, auditing who has access to what, and reviewing which databases are connected.
The OpenAI Agents SDK auto-discovers all 7 tools from Retool through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Retool, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Audit Applications — Ask your assistant to scan your Retool workspace (
list_apps) and drill down into the configuration of specific tools (get_app). Observe how tools are organized by requesting a view of the folder hierarchy (list_folders). - Manage Permissions & Users — Review the active members of your Retool organization (
list_users) and understand their access levels by listing the existing permission groups (list_groups). - Review DevOps & Infrastructure — Command the AI to inspect which data sources or APIs are wired into your operational stack (
list_resources), and list any active background automation tasks (list_workflows).
The Retool MCP Server exposes 7 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 Retool to OpenAI Agents SDK via MCP
Follow these steps to integrate the Retool 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 7 tools from Retool
Why Use OpenAI Agents SDK with the Retool MCP Server
OpenAI Agents SDK provides unique advantages when paired with Retool 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
Retool + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Retool MCP Server delivers measurable value.
Automated workflows: build agents that query Retool, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Retool, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Retool tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Retool to resolve tickets, look up records, and update statuses without human intervention
Retool MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Retool to OpenAI Agents SDK via MCP:
get_app
Retrieves details for a specific Retool application
list_apps
Lists all applications in the Retool organization
list_folders
Lists all folders in the Retool workspace
list_groups
Lists all permission groups
list_resources
Lists all data resources configured in Retool
list_users
Lists all users in the Retool organization
list_workflows
Lists all Retool Workflows
Example Prompts for Retool in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Retool immediately.
"List all users in my Retool workspace."
"List all applications currently configured."
"Tell me what resources are connected to our Retool."
Troubleshooting Retool MCP Server with OpenAI Agents SDK
Common issues when connecting Retool to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Retool + OpenAI Agents SDK FAQ
Common questions about integrating Retool 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 Retool 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 Retool to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
