UnifyApps MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect UnifyApps through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
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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="UnifyApps Assistant",
instructions=(
"You help users interact with UnifyApps. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from UnifyApps"
)
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 UnifyApps MCP Server
Connect your UnifyApps hub to any AI agent and take fully autonomous control over mapping internal automation flows, scanning linked platform connections, and managing global workflow status directly inside chat.
The OpenAI Agents SDK auto-discovers all 6 tools from UnifyApps through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries UnifyApps, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Integration Surveillance — Query your entire UnifyApps instance grabbing all unique application components internally coupled safely by
list_integrations - Execution Telemetry — Monitor active running instances calling down recent success/failure run history across multiple automation triggers sequentially
- Flow Mapping (SaaS) — Extract an overarching view verifying how dozens of separate flows are mapped without navigating nested visual menus
- Agent Configuration — Scan and list configured AI agent systems currently plugged into your orchestration environment continuously
The UnifyApps MCP Server exposes 6 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 UnifyApps to OpenAI Agents SDK via MCP
Follow these steps to integrate the UnifyApps 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 6 tools from UnifyApps
Why Use OpenAI Agents SDK with the UnifyApps MCP Server
OpenAI Agents SDK provides unique advantages when paired with UnifyApps 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
UnifyApps + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the UnifyApps MCP Server delivers measurable value.
Automated workflows: build agents that query UnifyApps, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries UnifyApps, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through UnifyApps tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query UnifyApps to resolve tickets, look up records, and update statuses without human intervention
UnifyApps MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect UnifyApps to OpenAI Agents SDK via MCP:
get_integration_details
Retrieves details for a specific integration
list_active_connections
Lists active account connections
list_ai_agents
Lists configured AI agents in the UnifyApps environment
list_automation_flows
Lists all automation flows defined in the platform
list_flow_executions
Lists recent execution history for automation flows
list_integrations
Lists all configured integrations in UnifyApps
Example Prompts for UnifyApps in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with UnifyApps immediately.
"List all active integration configurations built within our system environment."
"Isolate execution logs for our overarching flows specifically looking out for the most recent actions resolving internally."
"Can you check the details of integration connection ID int_99xx1 to see if its credentials are fully configured?"
Troubleshooting UnifyApps MCP Server with OpenAI Agents SDK
Common issues when connecting UnifyApps to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
UnifyApps + OpenAI Agents SDK FAQ
Common questions about integrating UnifyApps 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 UnifyApps 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 UnifyApps to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.