Can my AI automatically detect insecure applications federated under my PingOne Environment?

Yes. Ask the agent to list all applications and their OIDC/SAML parameters. It will return grant types and callback URIs. You can instruct your AI to identify any applications exposing excessive grants, lacking mandatory PKCE, or missing secure redirection URLs.

Can I use the agent to investigate complex zero-trust policies?

Absolutely. Query the agent for your current Risk Policies and Sign-On Policies. The AI translates raw rulesets (like IP anomalies, VPN blocklists, or ML-based behavioral steps) into human-readable summaries, letting you track how authentication flows operate without reverse-engineering JSON files.

How does the agent organize directories inside PingOne?

The agent can separate users utilizing Ping Identity's native Population boundaries and abstract mapping Groups. You can list all Populations to see distinct buckets entirely independent of each other, enforcing different self-service and strict password compliance boundaries globally across your organization.

Ping Identity MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Ping Identity
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Ping Identity through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="Ping Identity Assistant",
            instructions=(
                "You help users interact with Ping Identity. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Ping Identity"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Ping Identity MCP Server

Connect your Ping Identity environment to any AI agent to streamline identity and access management (IAM). You can audit users, check security policies, and review applications directly through conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Ping Identity through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Ping Identity, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

User Management — List identities, view detailed user profiles, and safely delete users across the enterprise directory.
Applications & Groups — Audit all Web, Native, or SPA apps federated under your environment, and list active IAM groups.
Populations — Review isolated populations dividing contractors, partners, or B2B clients.
Risk & Policies — Inspect active Risk Management rules and Zero-Trust sign-on workflows dictating real-time MFA.

The Ping Identity 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 Ping Identity to OpenAI Agents SDK via MCP

Follow these steps to integrate the Ping Identity 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 Ping Identity

Why Use OpenAI Agents SDK with the Ping Identity MCP Server

OpenAI Agents SDK provides unique advantages when paired with Ping Identity 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

Ping Identity + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Ping Identity MCP Server delivers measurable value.

Automated workflows: build agents that query Ping Identity, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Ping Identity, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Ping Identity tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Ping Identity to resolve tickets, look up records, and update statuses without human intervention

Ping Identity MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Ping Identity to OpenAI Agents SDK via MCP:

delete_user

Revokes all current session tokens, nullifies application scopes, isolates SCIM directory references, and executes the formal deletion API. Hard delete a user identity and purge related credentials

get_application

Determines configured Implicit/Authorization Code grants, token lifespan definitions, embedded sign-on policies, and allowed callback URIs required for stringent redirection security mapping. Get configuration for a single federated Ping Identity application

get_group

View explicit details encompassing a standard Ping Group

get_user

Get complete contextual metadata for a specific Ping Identity user

list_applications

Crucial to verify application exposure footprint. List Web, Native or SPA apps federated under standard PingOne

list_groups

Allows mapping high-level RBAC scopes dynamically injected into ID tokens returned via SSO channels upon successful client authorization flows. List identity Groups utilized for aggregate permissions

list_populations

g., 'Contractors', 'Partners', 'B2B Clients') possessing inherently different default password complexities, independent password expiration parameters, and isolated self-service recovery scopes. List isolated Populations logically partitioning the Environment

list_risk_policies

Evaluates contextual IP anomalies, impossible travel, blocklisted VPN routes, or behavioral irregularities explicitly stepping up authentication flows or directly blocking malicious login execution. List active Risk Management rules dictating real-time MFA

list_sign_on_policies

Sign-on policies chain distinct rules together enforcing explicit MFA prompts, enforcing complex password structures based on population assignment, or mandating implicit biometric validation prior to releasing environment tokens. List logical Sign-on flows and strict authentication conditions

list_users

Paginates across all bounded external and internal localized users containing primary credentials, deeply nested JSON identifiers, and physical verification states assigned under the Enterprise Directory schema. List all user identities within the standard PingOne Environment

Example Prompts for Ping Identity in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Ping Identity immediately.

"Can you list all OIDC applications configured in PingOne and highlight any insecure callbacks?"

"Provide the active list of Zero-Trust risk policies governing my environment."

"Delete the specific suspended user profile assigned to the ID `81773-XYZ-192`."

Troubleshooting Ping Identity MCP Server with OpenAI Agents SDK

Common issues when connecting Ping Identity to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Ping Identity + OpenAI Agents SDK FAQ

Common questions about integrating Ping Identity MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.