Authing 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 Authing 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="Authing Assistant",
instructions=(
"You help users interact with Authing. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Authing"
)
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 Authing MCP Server
Empower your AI agent to orchestrate your entire identity infrastructure with Authing, the premier cloud-native IDaaS platform. By connecting Authing to your agent, you transform complex user management, organizational modeling, and security auditing into a natural conversation. Your agent can instantly list users, retrieve detailed profile metadata, browse organizational structures, and monitor security audit logs without you ever needing to navigate the comprehensive Authing console. Whether you are conducting a compliance audit or managing application access, your agent acts as a real-time identity assistant, keeping your user data accurate and your systems secure.
The OpenAI Agents SDK auto-discovers all 10 tools from Authing through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Authing, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- User Orchestration — List and retrieve detailed information about users in your Authing user pool.
- Organizational Management — Browse and monitor organizational units and hierarchies across your company.
- Access Control Auditing — List roles, groups, and permission resources to identify authorization patterns.
- Security Monitoring — Retrieve real-time security audit logs to monitor administrative and user actions.
- System Configuration — Access high-level security settings and metadata for your identity projects.
The Authing 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 Authing to OpenAI Agents SDK via MCP
Follow these steps to integrate the Authing 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 Authing
Why Use OpenAI Agents SDK with the Authing MCP Server
OpenAI Agents SDK provides unique advantages when paired with Authing 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
Authing + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Authing MCP Server delivers measurable value.
Automated workflows: build agents that query Authing, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Authing, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Authing tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Authing to resolve tickets, look up records, and update statuses without human intervention
Authing MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Authing to OpenAI Agents SDK via MCP:
create_user
Create a new user
get_audit_logs
Get security audit logs
get_security_settings
Get pool security settings
get_user
Get user details
list_applications
List registered applications
list_groups
List user groups
list_organizations
List organizations
list_resources
List permission resources
list_roles
List user roles
list_users
List application users
Example Prompts for Authing in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Authing immediately.
"List all users in our Authing pool."
"Show me the security audit logs from today."
"List all organizational units in the company."
Troubleshooting Authing MCP Server with OpenAI Agents SDK
Common issues when connecting Authing to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Authing + OpenAI Agents SDK FAQ
Common questions about integrating Authing 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 Authing 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 Authing to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.