Jebbit 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 Jebbit 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="Jebbit Assistant",
instructions=(
"You help users interact with Jebbit. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Jebbit"
)
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 Jebbit MCP Server
Empower your AI agents with Jebbit's interactive experience platform. This MCP server allows you to list experiences, retrieve consumer attributes, manage audience segments, and track reporting jobs directly through the Jebbit API. Ideal for leveraging zero-party data and automating marketing insights.
The OpenAI Agents SDK auto-discovers all 10 tools from Jebbit through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Jebbit, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Jebbit 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 Jebbit to OpenAI Agents SDK via MCP
Follow these steps to integrate the Jebbit 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 Jebbit
Why Use OpenAI Agents SDK with the Jebbit MCP Server
OpenAI Agents SDK provides unique advantages when paired with Jebbit 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
Jebbit + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Jebbit MCP Server delivers measurable value.
Automated workflows: build agents that query Jebbit, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Jebbit, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Jebbit tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Jebbit to resolve tickets, look up records, and update statuses without human intervention
Jebbit MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Jebbit to OpenAI Agents SDK via MCP:
get_account
Use to verify account status. Retrieves account details
get_experience
Use this to understand the structure or overall results of a specific quiz or survey. Retrieves details for a specific experience
list_attributes
g., "favorite_color", "purchase_intent") that have been captured across experiences. Essential for understanding what consumer insights are available. Lists all consumer attributes captured
list_campaigns
Use this to monitor where traffic to experiences is coming from. Lists all active campaigns
list_experiences
Returns experience names, IDs, and publication status. Use this to identify which interactive content is available for analysis. Lists all interactive experiences
list_integrations
Useful for verifying data flow to other platforms. Lists all active integrations
list_reporting_jobs
Use this to check the status of large data requests. Lists all recent reporting jobs
list_segments
Useful for identifying high-value cohorts for targeted marketing. Lists all audience segments
list_users
Useful for account auditing and permission checks. Lists all platform users
list_webhooks
Useful for auditing integrations. Lists all configured webhooks
Example Prompts for Jebbit in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Jebbit immediately.
"List all interactive experiences in my Jebbit account."
"Show me the consumer attributes captured by my quizzes."
"Check for any recent reporting jobs."
Troubleshooting Jebbit MCP Server with OpenAI Agents SDK
Common issues when connecting Jebbit to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Jebbit + OpenAI Agents SDK FAQ
Common questions about integrating Jebbit 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 Jebbit 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 Jebbit to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.