ToolJet MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 4 tools to Insert Row, List Tables, Query Table, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ToolJet 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 for OpenAI Agents SDK
The ToolJet MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 4 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="ToolJet Assistant",
instructions=(
"You help users interact with ToolJet. "
"You have access to 4 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ToolJet"
)
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 ToolJet MCP Server
Connect your ToolJet workspace to any AI agent to interact with your internal databases and automate business logic through natural language.
The OpenAI Agents SDK auto-discovers all 4 tools from ToolJet through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ToolJet, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Database Exploration — List all available tables within your ToolJet Database to understand your data structure.
- Advanced Querying — Execute SQL SELECT queries on your tables to retrieve specific records, filter data, and generate insights.
- Data Entry — Insert new rows into your database tables directly from the chat interface using structured JSON data.
- Workflow Automation — Trigger complex ToolJet Workflows via webhooks, passing custom payloads to start automated business processes.
The ToolJet MCP Server exposes 4 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 ToolJet tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to ToolJet through Vinkius, your AI agent gets direct access to every tool listed below — spanning low-code, internal-tools, sql-query, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Insert row on ToolJet
Insert a new row into a ToolJet Database table
List tables on ToolJet
List all tables in the ToolJet Database
Query table on ToolJet
Use this for reading data (SELECT). Perform a SQL query on a ToolJet Database table
Trigger workflow on ToolJet
Trigger a ToolJet Workflow via Webhook
Connect ToolJet to OpenAI Agents SDK via MCP
Follow these steps to wire ToolJet into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 ToolJet MCP Server
OpenAI Agents SDK provides unique advantages when paired with ToolJet 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
ToolJet + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ToolJet MCP Server delivers measurable value.
Automated workflows: build agents that query ToolJet, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ToolJet, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ToolJet tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ToolJet to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for ToolJet in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ToolJet immediately.
"List all the tables available in my ToolJet Database."
"Run a query to find all orders with a status of 'pending' in organization 'org_123'."
"Trigger the workflow 'wf_987' with the payload {"user_id": "123", "action": "reset"}."
Troubleshooting ToolJet MCP Server with OpenAI Agents SDK
Common issues when connecting ToolJet to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ToolJet + OpenAI Agents SDK FAQ
Common questions about integrating ToolJet 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?
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