# pingone-mcp-server

> pingone-mcp-server — fctr-identity-pingone-mcp-server. Use this tool when you need to integrate AI models with your PingOne environment, enabling natural language interactions with Ping entities. It solves problems for IAM engineers, security teams, and Ping administrators by providing a seamless interface for querying and managing PingOne data. The PingOne MCP Server takes natural language inputs and outputs relevant data, making it ideal for use cases that require efficient and intuitive interactions with PingOne environments.

Canonical page: https://skillsregistry.net/skills/fctr-identity-pingone-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/fctr-identity-pingone-mcp-server

## Description

The PingOne MCP Server is a groundbreaking tool built by the team at Fctr that enables AI models to interact directly with your pingOne environment using the Model Context Protocol (MCP). Built specifically for IAM engineers, security teams, and Ping administrators, it help work with Ping enitities using natural Language

## Trust

- **Trust score (0–1):** 0.47
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/fctr-identity/pingone-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "fctr-identity-pingone-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fctr-identity-pingone-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fctr-identity-pingone-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt