cloud-infrastructureauth-security

PingOne Advanced Identity Cloud MCP Server

pingidentity

by pingidentity

AI-ready PingOne Advanced Identity Cloud MCP Server — securely manage users, customize auth themes, query identity data,

Enables AI assistants to interact with PingOne Advanced Identity Cloud environments through natural language, supporting user management, authentication theme customization, log analysis, and identity data queries with secure OAuth 2.0 authentication.

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

OAuth 2.0 secure authenticationPreview software - sandbox/dev onlyNatural language identity operations

best for

  • / Identity administrators managing cloud environments
  • / DevOps teams automating identity operations
  • / Security teams analyzing authentication patterns
  • / Developers integrating identity management workflows

capabilities

  • / Manage users in PingOne Advanced Identity Cloud
  • / Customize authentication themes and branding
  • / Analyze identity and authentication logs
  • / Query identity data through natural language
  • / Configure identity cloud settings
  • / Generate dynamic identity configurations

what it does

Connects AI assistants to PingOne Advanced Identity Cloud for managing users, customizing authentication themes, and analyzing identity logs through natural language commands.

about

PingOne Advanced Identity Cloud MCP Server is an official MCP server published by pingidentity that provides AI assistants with tools and capabilities via the Model Context Protocol. AI-ready PingOne Advanced Identity Cloud MCP Server — securely manage users, customize auth themes, query identity data, It is categorized under cloud infrastructure, auth security.

how to install

You can install PingOne Advanced Identity Cloud MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

Apache-2.0

PingOne Advanced Identity Cloud MCP Server is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

PingOne Advanced Identity Cloud MCP Server

License: Apache 2.0 GitHub release npm version Node.js TypeScript


FeaturesUse CasesPrerequisitesGetting StartedAuthenticationAvailable ToolsDocker DeploymentSecurityTroubleshootingDevelopmentLicense


[!CAUTION] Preview Software Notice

This is preview software provided AS IS with no warranties of any kind.

  • Current release is only for Sandbox and Development AIC tenants, the server is not enabled for production environments.
  • Limited support is available during the public preview phase — please report bugs and provide feedback via the GitHub issue tracker

Your use of this software constitutes acceptance of these terms.

[!CAUTION] Security Notice

Depending on the requests made to the MCP server, tenant configuration or data may be returned. Do not use the MCP server with untrusted MCP clients, agent code or LLM inference.

[!WARNING] Review Generated Configuration

Configuration can be generated dynamically using LLM and user feedback represented dynamically back to agents/conversations. Be sure to review generated configuration before promoting to production environments, or those serving live identity/access requests.

An MCP (Model Context Protocol) server that enables AI assistants to interact with PingOne Advanced Identity Cloud environments. Manage users, roles, groups, organizations, customize authentication themes, analyze logs, and query identity data directly from your AI conversations.

Ask questions like "Find all alpha_users with email starting with [email protected]", "Create a new theme called 'Corporate Brand' with primary color #0066cc", or "Show me all ERROR level logs from the am-authentication source in the last hour".

Features

  • Administer your AIC environment using natural language - Interact with PingOne AIC from whichever AI tool you use daily. No need to switch to the admin console or write API scripts - just ask your AI assistant.

  • Secure authentication - Supports OAuth 2.0 PKCE flow for local deployment and Device Code Flow for containerized deployment. All actions are user-based and auditable. Tokens stored securely in OS keychain (local) or ephemerally (Docker).

  • Broad tool support - Supports full CRUD operations against any managed object type in your environment (users, roles, groups, organizations, and custom types), authentication journey and script management, theme customization, advanced log querying, and environment variable configuration.

Use Cases

  • Journey Management - "Show me the Login journey", "Create a new MFA journey", "Add a scripted decision node to the registration flow", "Set Login as the default journey"
  • Authentication Customization - "Create a branded theme with our corporate colors", "Show me all themes in production", "Set the new theme as default"
  • Audit & Monitoring - "Show me failed login attempts in the last hour", "Find all logs for transaction abc-123", "What log sources are available?"
  • Identity Operations - "Find all users with admin in their username", "Create a new developer role", "Update the email for user xyz123"
  • Configuration Management - "List all environment variables", "Create a new API key variable", "Update the database connection string"

Getting Started

Prerequisites

  • Node.js 18+
  • PingOne Advanced Identity Cloud Sandbox or Development Tenant
  • MCP-compatible client (Claude Code, Claude Desktop, Cursor, VS Code with GitHub Copilot, Gemini CLI, Codex, etc.)

Configure Your MCP Client

The MCP server requires the AIC_BASE_URL environment variable to be set to your PingOne AIC hostname.

Add this to your MCP client configuration:

{
  "mcpServers": {
    "aic-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@ping-identity/aic-mcp-server"],
      "env": {
        "AIC_BASE_URL": "your-tenant.forgeblocks.com"
      }
    }
  }
}

Required: Replace your-tenant.forgeblocks.com with your PingOne AIC tenant URL.

Client-specific instructions:

<details> <summary><b>Claude Code or Claude Desktop</b></summary>

Add this to your Claude MCP configuration (claude.json for Claude Code or claude_desktop_config.json for Claude Desktop):

{
  "mcpServers": {
    "aic-mcp-server": {
      "command": "npx",
      "args": ["-y", "@ping-identity/aic-mcp-server"],
      "env": {
        "AIC_BASE_URL": "your-tenant.forgeblocks.com"
      }
    }
  }
}
</details> <details> <summary><b>Cursor</b></summary>

Install MCP Server with One-Click

Add this to your Cursor MCP configuration (.cursor/mcp.json):

{
  "mcpServers": {
    "aic-mcp-server": {
      "command": "npx",
      "args": ["-y", "@ping-identity/aic-mcp-server"],
      "env": {
        "AIC_BASE_URL": "your-tenant.forgeblocks.com"
      }
    }
  }
}
</details> <details> <summary><b>GitHub Copilot (VS Code)</b></summary>

Install in VS Code Install in VS Code Insiders

Add this to your Copilot MCP configuration (mcp.json):

{
  "mcpServers": {
    "aic-mcp-server": {
      "command": "npx",
      "args": ["-y", "@ping-identity/aic-mcp-server"],
      "env": {
        "AIC_BASE_URL": "your-tenant.forgeblocks.com"
      }
    }
  }
}
</details> <details> <summary><b>Gemini CLI</b></summary>

Add this to your Gemini CLI MCP configuration (settings.json):

{
  "mcpServers": {
    "aic-mcp-server": {
      "command": "npx",
      "args": ["-y", "@ping-identity/aic-mcp-server"],
      "env": {
        "AIC_BASE_URL": "your-tenant.forgeblocks.com"
      }
    }
  }
}
</details> <details> <summary><b>Codex (OpenAI)</b></summary>

Add this to your Codex MCP configuration (~/.codex/config.toml):

[mcp_servers.aic-mcp-server]
command = "npx"
args = ["-y", "@ping-identity/aic-mcp-server"]
env = {"AIC_BASE_URL" = "your-tenant.forgeblocks.com"}
</details>

Restart your MCP client and start asking questions! Your browser will open for authentication when you use the first tool in a session.

Authentication

The server uses OAuth 2.0 PKCE flow for secure user authentication:

  1. First Tool Use - Browser opens automatically for user login at PingOne AIC when you use a tool for the first time in a session
  2. Token Storage - Access tokens stored securely in OS keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service)
  3. Automatic Reuse - Cached tokens used for subsequent tool calls within the same session
  4. Auto Re-authentication - When tokens expire during a session, browser opens again for new login

Docker Deployment: Uses OAuth 2.0 Device Code Flow with ephemeral token storage (tokens deleted on container restart).

Security Features:

  • User-based actions provide complete audit trail
  • All actions traceable to authenticated users for compliance

[!CAUTION] Administrator Access Required: This server requires administrative authentication and provides administrative capabilities to your PingOne AIC development and sandbox environments. All operations are performed as the authenticated administrator and are fully auditable.

Development and Sandbox Environments Only: This server can only be used with development and sandbox environments. Use with trusted AI assistants in secure contexts. AI-driven operations can make mistakes - review and test changes carefully before promoting to higher environments.

Available Tools

The server provides tools for AI agents to interact with your


FAQ

What is the PingOne Advanced Identity Cloud MCP Server MCP server?
PingOne Advanced Identity Cloud MCP Server is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for PingOne Advanced Identity Cloud MCP Server?
This profile displays 62 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.462 reviews
  • Hiroshi Kapoor· Dec 28, 2024

    PingOne Advanced Identity Cloud MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Arya Kapoor· Dec 20, 2024

    Useful MCP listing: PingOne Advanced Identity Cloud MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Henry Sharma· Dec 8, 2024

    According to our notes, PingOne Advanced Identity Cloud MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Kofi Perez· Dec 4, 2024

    PingOne Advanced Identity Cloud MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Mateo Khan· Nov 27, 2024

    We wired PingOne Advanced Identity Cloud MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Arya Gupta· Nov 27, 2024

    PingOne Advanced Identity Cloud MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Mia Park· Nov 23, 2024

    PingOne Advanced Identity Cloud MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Evelyn Flores· Nov 19, 2024

    PingOne Advanced Identity Cloud MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Henry Shah· Nov 11, 2024

    Strong directory entry: PingOne Advanced Identity Cloud MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Valentina Martinez· Oct 18, 2024

    PingOne Advanced Identity Cloud MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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