Argyle 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 Argyle 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="Argyle Assistant",
instructions=(
"You help users interact with Argyle. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Argyle"
)
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 Argyle MCP Server
The Argyle MCP Server brings automated employment and income verification directly to your AI agent. Seamlessly manage your user verification workflows, retrieve detailed employment history, and monitor income totals using simple natural language.
The OpenAI Agents SDK auto-discovers all 7 tools from Argyle through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Argyle, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Capabilities
- User Management — List all users in your Argyle account and create new unique user IDs for verification flows.
- Employment Verification — Retrieve verified employment status, hire dates, job titles, and employer details from the source.
- Income Analysis — Access detailed income totals and breakdown, including YTD, monthly, and per-pay-period data.
- Payout Tracking — List individual pay period details (payouts) to understand gross/net pay and deductions.
- Verified Identities — Retrieve verified name, address, and contact information directly from payroll sources.
- Secure Data Access — Uses secure API keys and supports sandbox mode for safe testing and production usage.
The Argyle 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 Argyle to OpenAI Agents SDK via MCP
Follow these steps to integrate the Argyle 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 Argyle
Why Use OpenAI Agents SDK with the Argyle MCP Server
OpenAI Agents SDK provides unique advantages when paired with Argyle 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
Argyle + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Argyle MCP Server delivers measurable value.
Automated workflows: build agents that query Argyle, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Argyle, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Argyle tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Argyle to resolve tickets, look up records, and update statuses without human intervention
Argyle MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Argyle to OpenAI Agents SDK via MCP:
create_user
Create a new user in Argyle
get_account_check
Verify Argyle account connection
get_employment
Retrieve employment history for a specific user
get_income
Retrieve income totals and breakdown for a user
list_identities
Retrieve verified identity information for a user
list_payouts
List individual pay period details (payouts) for a user
list_users
List all users created in your Argyle account
Example Prompts for Argyle in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Argyle immediately.
"List all users in my Argyle account."
"Show me the employment history for user 'user_12345'."
"What is the total YTD income for user 'user_abc'?"
Troubleshooting Argyle MCP Server with OpenAI Agents SDK
Common issues when connecting Argyle to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Argyle + OpenAI Agents SDK FAQ
Common questions about integrating Argyle 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 Argyle with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Argyle to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.