Insightful 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 Insightful through the 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="Insightful Assistant",
instructions=(
"You help users interact with Insightful. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Insightful"
)
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 Insightful MCP Server
Empower your AI agents to analyze and manage workforce productivity with Insightful (formerly Workpuls). This MCP server allows you to list employees and teams, track project progress, monitor real-time activity, and retrieve productivity and attendance reports directly through the Insightful API. Ideal for automating team management and performance monitoring.
The OpenAI Agents SDK auto-discovers all 10 tools from Insightful through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Insightful, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
The Insightful 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 Insightful to OpenAI Agents SDK via MCP
Follow these steps to integrate the Insightful 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 Insightful
Why Use OpenAI Agents SDK with the Insightful MCP Server
OpenAI Agents SDK provides unique advantages when paired with Insightful 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
Insightful + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Insightful MCP Server delivers measurable value.
Automated workflows: build agents that query Insightful, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Insightful, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Insightful tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Insightful to resolve tickets, look up records, and update statuses without human intervention
Insightful MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Insightful to OpenAI Agents SDK via MCP:
get_attendance
Retrieves aggregated attendance and time tracking reports
get_employee
Retrieves details for a specific employee
get_productivity
Retrieves aggregated productivity reports
list_activity
Lists recent employee activity logs
list_employees
Lists all employees in the organization
list_locations
Lists all registered organization locations
list_projects
Lists all active and past projects
list_tasks
Lists all tasks across projects
list_teams
Lists all organization teams
list_webhooks
Lists all configured webhooks
Example Prompts for Insightful in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Insightful immediately.
"List all employees in the 'Engineering' team."
"Show me the productivity report for last week."
"Check recent activity logs for project ID '789'."
Troubleshooting Insightful MCP Server with OpenAI Agents SDK
Common issues when connecting Insightful to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Insightful + OpenAI Agents SDK FAQ
Common questions about integrating Insightful 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 Insightful 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 Insightful to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.