Ping Identity MCP. Audit and manage every identity flow from chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Ping Identity MCP Server manages PingOne user identities and access policies directly via your AI agent. You can audit application grants, review Zero-Trust risk rules, list isolated populations, or delete specific user profiles without touching a console.
It’s full IAM control through conversation.
What your AI agents can do
Delete user
Removes a user identity completely, revoking all sessions and purging associated credentials from the directory.
Get application
Retrieves detailed configuration for a single federated Ping Identity application, including its grant types and callbacks.
Get group
Shows all explicit details about a standard Ping Group, mapping out which users belong to it.
List all user identities, view profiles, check group membership, or delete a specific account using list_users, get_user, and delete_user.
Check the active rules for authentication flows by listing sign-on policies (list_sign_on_policies) or auditing risk management settings (list_risk_policies).
Get a full list of all federated apps (list_applications), inspect specific app grants (get_application), and map out which groups own what permissions using list_groups.
Review isolated populations—like contractors or B2B clients—to see their unique password rules and self-service scopes via list_populations.
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Supported MCP Clients
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Ping Identity MCP Server: 10 Tools for Identity Management
Use these tools to read, write, and audit every element of your PingOne environment, from user profiles to complex sign-on policies.
019d75f3delete user
Removes a user identity completely, revoking all sessions and purging associated credentials from the directory.
019d75f3get application
Retrieves detailed configuration for a single federated Ping Identity application, including its grant types and callbacks.
019d75f3get group
Shows all explicit details about a standard Ping Group, mapping out which users belong to it.
019d75f3get user
Pulls the full context and metadata for one specific user identity in the directory.
019d75f3list applications
Lists all Web, Native, or SPA apps currently federated under your PingOne environment.
019d75f3list groups
Maps out identity Groups used to assign aggregate permissions via SSO channels.
019d75f3list populations
Lists isolated Populations (like B2B clients) that have unique password rules and self-service scopes.
019d75f3list risk policies
Displays active Risk Management rules that dictate real-time MFA or block login attempts based on location anomalies.
019d75f3list sign on policies
Lists logical Sign-on flows and strict authentication conditions, like mandatory biometric checks or complex password enforcement.
019d75f3list users
Generates a paginated list of all user identities in the entire PingOne environment directory.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Ping Identity, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
You're looking at the Ping Identity MCP Server because you need full control over your IAM and access policies right from your AI agent. This server handles everything for your PingOne environment—from checking user profiles to deleting accounts and auditing Zero-Trust rules. You ask it what you want, and your agent runs the specific tool call.
Auditing User Accounts
To see who's on the roster, you can use list_users to get a paginated list of every identity in the whole PingOne directory. If you need deep background on one person, just run get_user to pull their full context and metadata. You'll find out exactly what permissions they have by checking group membership; get_group shows all explicit details about a standard Ping Group, mapping out every user belonging to it.
And if someone needs to vanish? delete_user removes the identity completely, revoking every session and purging associated credentials from the directory.
Reviewing Access Policies
You gotta know what's governing access, or you're screwed. You can check active authentication flows by running list_sign_on_policies, which lists all logical Sign-on pathways and strict conditions—think mandatory biometric checks or complicated password enforcement. For real-time security posture, use list_risk_policies to display every active Risk Management rule that dictates if a login attempt gets flagged for MFA or blocked entirely due to location anomalies.
Inventorying Applications and Groups
Figuring out what apps connect where is half the battle. Start by calling list_applications, which gives you a list of all Web, Native, or SPA apps currently federated under your PingOne setup. If you need details on one specific app—like its exact grant types or callback URLs—get_application pulls that configuration for you.
To map out permissions across the board, list_groups shows you every Identity Group used to assign aggregate permissions via SSO channels.
Managing Specialized User Segments (Populations)
For contract workers or B2B clients who operate differently from your main staff, you need to check the Populations. Running list_populations lists these isolated segments—the ones with unique password rules and separate self-service scopes. It keeps them separated while letting you manage their access parameters.
It’s all about having granular control over identities, policies, and applications without ever touching a console. Your agent handles the dirty work.
How Ping Identity MCP Works
- 1 Subscribe to the server and provide your PingOne Environment ID and API Token.
- 2 Your AI client sends a request (e.g., 'Show me all apps using Implicit Grant').
- 3 The agent executes the corresponding tool (
list_applicationsorget_application) and returns the structured data for you to read.
The bottom line is: You talk to your AI client, and it talks directly to Ping Identity's API to get the answer. No dashboards needed.
Who Is Ping Identity MCP For?
This is for IAM Administrators who spend hours clicking through multiple consoles just to audit user access. It’s also for Security Engineers who need instant visibility into risk policies and Zero-Trust gaps. If your job involves verifying who has access to what, you need this.
Uses list_users and get_user to audit user lifecycles or runs delete_user when an employee leaves.
Checks list_risk_policies and list_sign_on_policies to verify Zero-Trust compliance without manual console navigation.
Runs get_application and list_applications to find hardcoded grants or insecure OAuth settings before deploying a new service.
What Changes When You Connect
- Full App Visibility: Running
list_applicationsgives you a complete, auditable record of every federated app—no more manual spreadsheet audits needed. You instantly see the entire exposure footprint. - Zero-Trust Compliance Check: Use
list_risk_policiesto verify that Impossible Travel rules and MFA requirements are active across your environment without logging into any console. - Precise Cleanup: Need to revoke access? Running
delete_userensures a hard purge. It doesn't just disable the account; it removes associated credentials and scopes. - Deep User Context: Don't guess about users. Use
get_userto pull all contextual metadata—department, manager ID, status—for immediate access validation. - Segment Control: If you deal with contractors or partners,
list_populationsshows those isolated groups and their specific rules, preventing unauthorized cross-pollination of credentials.
Real-World Use Cases
Auditing OAuth Grants
A DevOps engineer suspects a legacy app is using an insecure grant type. Instead of digging through dozens of settings pages, they ask the agent to run get_application on the suspected ID. The agent immediately reports if it's using an Implicit Grant or lacks PKCE.
Onboarding a New Department
IT Support needs to confirm that all new staff are added with correct minimum access. They use list_groups and get_group to map the required permissions, ensuring every user is correctly assigned to the right RBAC scope before provisioning.
Investigating Suspicious Access
A Security Engineer spots an account that shouldn't exist. They use list_users to find the ID, then run get_user to check metadata, and finally confirm its removal by executing delete_user.
Checking for Policy Drift
A manager suspects that some remote users are bypassing MFA. They use list_sign_on_policies to verify if the current policy mandates a step-up challenge, instantly confirming the required security controls.
The Tradeoffs
Calling tools sequentially without context
Just running list_users, then list_groups, and hoping the combination tells you if a user is compromised. This gives you lists, but no cross-reference or action.
→
You need to combine calls: First, use get_user on the specific ID. Then, pass that resulting User ID to get_group. The agent processes the linkage and tells you exactly what roles that user holds.
Assuming a list means full control
Seeing 'Web App' in list_applications and thinking you know all its security settings. You only see the listing, not the deep grant details.
→
Always follow up by running get_application on that specific app ID. This tool digs into the configuration to reveal if it uses PKCE or what its callback URIs are.
Trying to manage policies via simple queries
Asking 'Are users safe?' and getting a vague list of 5 policies. You don't know which one is the weakest link.
→
Run list_risk_policies first. Then, ask the agent: 'Which policy governs geographical access?' This drills down from the general rule to the specific control.
When It Fits, When It Doesn't
Use this server if your job requires auditing or manipulating identity relationships across multiple domains—like linking a user's profile (get_user) to their group membership (get_group), and then checking that group against an access policy (list_sign_on_policies). It handles the complex orchestration.
Don't use this if you just need basic data retrieval for one specific, simple task. For example, if you only need a list of all user IDs, list_users is enough. If you only need to see what apps exist, list_applications works fine by itself. This server is the control plane—it coordinates those specialized tools to build an answer.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ping Identity. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Auditing who has access shouldn't require 20 clicks and three separate tabs.
Today, auditing a single user’s permissions means jumping between the User console, the Group Policy section, and the Application Federation dashboard. You copy an ID from one screen to paste it into another just to verify if they have access to that specific Web App.
With this MCP server, you ask your agent: 'Show me every app user X can talk to.' The agent handles all the cross-referencing using tools like `get_user` and `list_applications`. You get a single, synthesized answer. Period.
Ping Identity MCP Server gives you full control over identity grants.
You stop wasting time manually checking if an app needs PKCE or what its callback URIs are. You use `get_application` to pull the exact configuration data needed, whether it's for a new deployment review or compliance audit.
It eliminates the manual investigation phase. The information flows directly from Ping Identity’s core APIs into your agent's response. It just works.
Common Questions About Ping Identity MCP
How do I check if an app uses Implicit Grant with ping-identity? +
Use the get_application tool. This function pulls detailed grants, letting you see exactly what grant types—and which security weaknesses—the application is using.
What's the difference between list_users and get_user? +
list_users gives you a paginated inventory of IDs. get_user takes one ID and returns all the full, detailed metadata for that single user.
Can I check if MFA is required using list_risk_policies? +
Yes. The list_risk_policies tool shows active rules like 'Impossible Travel' or 'Behavior Anomalies,' confirming when and how mandatory MFA prompts are triggered.
How do I delete a user profile using ping-identity? +
Run the delete_user tool. This action doesn't just disable the account; it executes a full purge, revoking all sessions and clearing associated SCIM references.
What does running `list_populations` reveal about segmented user groups? +
It shows logically partitioned populations like 'Contractors' or 'B2B Clients.' This is key because each population can have totally separate rules, such as different password complexity requirements or isolated self-service recovery scopes. You use this to audit segment separation.
How do I check the required sign-on flows using `list_sign_on_policies`? +
This tool lists all active Sign-On policies, which are rule chains for authentication. They dictate mandatory requirements—things like needing MFA, enforcing complex passwords based on group membership, or requiring biometric validation before a user gets an environment token.
If I use `list_applications`, what should I look out for regarding app exposure? +
It lists every Web, Native, or SPA application federated under your PingOne account. Use this to audit your entire security footprint and identify applications that might be old, unneeded, or using outdated grant types.
When I call `get_user`, what specific data fields does the tool return for a complete profile? +
It provides full contextual metadata for a user. This goes beyond basic credentials; you get details on their nested JSON identifiers, physical verification status, and all associated app scopes, which is critical for debugging access issues.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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