Assembled MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Assembled 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="Assembled Assistant",
instructions=(
"You help users interact with Assembled. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Assembled"
)
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 Assembled MCP Server
The Assembled MCP Server provides your AI agent with direct access to your workforce management (WFM) data. Optimize your support operations by monitoring agent availability, auditing schedules, and analyzing contact volume forecasts using natural language.
The OpenAI Agents SDK auto-discovers all 7 tools from Assembled through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Assembled, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Capabilities
- Agent & State Tracking — List all users and monitor real-time agent states to see who is online, on break, or in a meeting.
- Team & Queue Management — Audit your support organization structure by listing teams and individual support queues.
- Schedule Oversight — Retrieve detailed agent schedules for any time range to ensure proper coverage.
- Forecasting Insights — Access contact volume forecasts to prepare for upcoming support demand.
- Operational Auditing — Quickly verify account connections and organizational metadata without manual reports.
- Secure API Access — Uses your Assembled API Key for safe and authenticated communication with your WFM data.
The Assembled MCP Server exposes 7 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 Assembled to OpenAI Agents SDK via MCP
Follow these steps to integrate the Assembled 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 7 tools from Assembled
Why Use OpenAI Agents SDK with the Assembled MCP Server
OpenAI Agents SDK provides unique advantages when paired with Assembled 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
Assembled + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Assembled MCP Server delivers measurable value.
Automated workflows: build agents that query Assembled, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Assembled, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Assembled tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Assembled to resolve tickets, look up records, and update statuses without human intervention
Assembled MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Assembled to OpenAI Agents SDK via MCP:
get_account_check
Verify Assembled account connection
list_agent_states
List real-time agent states
list_forecasts
List contact volume forecasts
list_queues
List all support queues
list_schedules
List agent schedules for a time range
list_teams
List all teams
list_users
List all users in Assembled
Example Prompts for Assembled in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Assembled immediately.
"List all agents currently online in Assembled."
"Show me the schedule for 'Support Team Alpha' for today."
"What is the contact volume forecast for next Monday?"
Troubleshooting Assembled MCP Server with OpenAI Agents SDK
Common issues when connecting Assembled to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Assembled + OpenAI Agents SDK FAQ
Common questions about integrating Assembled 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 Assembled 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 Assembled to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.