Jestor MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Jestor 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="Jestor Assistant",
instructions=(
"You help users interact with Jestor. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Jestor"
)
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 Jestor MCP Server
Empower your AI agents with Jestor's low-code internal tools platform. This MCP server allows you to list objects (tables), retrieve and list records, manage users, and monitor workflows and dashboards directly through the Jestor API. Ideal for automating internal operations and database management.
The OpenAI Agents SDK auto-discovers all 10 tools from Jestor through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Jestor, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Jestor MCP Server exposes 10 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 Jestor to OpenAI Agents SDK via MCP
Follow these steps to integrate the Jestor 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 10 tools from Jestor
Why Use OpenAI Agents SDK with the Jestor MCP Server
OpenAI Agents SDK provides unique advantages when paired with Jestor 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
Jestor + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Jestor MCP Server delivers measurable value.
Automated workflows: build agents that query Jestor, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Jestor, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Jestor tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Jestor to resolve tickets, look up records, and update statuses without human intervention
Jestor MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Jestor to OpenAI Agents SDK via MCP:
get_me
Use this to verify connection status and current permissions. Gets current authenticated user info
get_object
Useful for understanding field types and relationships within a specific table. Retrieves details/schema for a specific object
get_record
Essential for deep-diving into a specific entry in the database. Retrieves details for a specific record
list_apps
Useful for discovering high-level toolsets available to the user. Lists all installed internal apps
list_dashboards
Use this to identify where aggregated data visualizations are located. Lists all configured dashboards
list_objects
Returns object names and labels. Use this to discover available datasets before querying specific records. Lists all objects (tables) in your Jestor account
list_records
This is the primary tool for browsing data within a table (e.g., listing all "Tasks" or "Clients"). Lists records for a specific object
list_users
Returns names, emails, and IDs. Useful for identifying record owners or system administrators. Lists all users in the organization
list_webhooks
Use this to audit third-party integrations. Lists all configured webhooks
list_workflows
Useful for auditing system logic and event-driven actions. Lists all automated workflows
Example Prompts for Jestor in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Jestor immediately.
"List all objects in my Jestor account."
"Show me the records for the 'Invoices' object."
"Check the status of my workflows."
Troubleshooting Jestor MCP Server with OpenAI Agents SDK
Common issues when connecting Jestor to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Jestor + OpenAI Agents SDK FAQ
Common questions about integrating Jestor 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 Jestor 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 Jestor to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.