Jibble 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 Jibble 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="Jibble Assistant",
instructions=(
"You help users interact with Jibble. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Jibble"
)
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 Jibble MCP Server
Empower your AI agents with Jibble's time tracking and attendance platform. This MCP server allows you to list time entries, retrieve person details, track activities and projects, and view organization information directly through the Jibble API. Ideal for automating workforce management and productivity analysis.
The OpenAI Agents SDK auto-discovers all 10 tools from Jibble through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Jibble, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Jibble 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 Jibble to OpenAI Agents SDK via MCP
Follow these steps to integrate the Jibble 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 Jibble
Why Use OpenAI Agents SDK with the Jibble MCP Server
OpenAI Agents SDK provides unique advantages when paired with Jibble 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
Jibble + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Jibble MCP Server delivers measurable value.
Automated workflows: build agents that query Jibble, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Jibble, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Jibble tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Jibble to resolve tickets, look up records, and update statuses without human intervention
Jibble MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Jibble to OpenAI Agents SDK via MCP:
get_organization
Use to verify account-wide configuration. Retrieves organization details
get_person
Essential for detailed HR analysis of an individual team member. Retrieves details for a specific person
get_time_entry
Returns location data, activity notes, and associated device info. Use for auditing or correcting a specific employee time log. Retrieves details for a specific time entry
list_activities
g., "Meeting", "Development", "Break") that employees can select when clocking in. Useful for identifying high-level task categories. Lists all configured activities
list_clients
Useful for professional services tracking and billable hours auditing. Lists all configured clients
list_groups
g., "Sales Team", "Remote Workers") used to organize the workforce. Useful for group-based performance reporting. Lists all configured groups
list_locations
Useful for auditing site-based workforce distribution. Lists all configured locations
list_people
Includes names, emails, and internal IDs. Use this to identify personnel before querying their time entries. Lists all people in the organization
list_projects
Use this when the user asks for a project-based time breakdown. Lists all configured projects
list_time_entries
Returns employee IDs, entry times, and durations. Use this to monitor workforce activity and total work hours. Lists all time entries
Example Prompts for Jibble in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Jibble immediately.
"List all people in my Jibble organization."
"Show me the recent time entries."
"What are the active projects in Jibble?"
Troubleshooting Jibble MCP Server with OpenAI Agents SDK
Common issues when connecting Jibble to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Jibble + OpenAI Agents SDK FAQ
Common questions about integrating Jibble 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 Jibble 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 Jibble to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.