# Pearl

> Use this tool when you need to access a hybrid AI and human expert services platform for reliable assistance across multiple domains, including medical, legal, technical, and lifestyle topics. It solves problems by providing quick AI responses, AI-assisted human support, and direct expert access, with features like conversation history tracking and session management. It is ideal for applications requiring verified human expertise and AI-driven insights, with inputs including user queries and outputs including relevant responses and expert consultations.

Canonical page: https://skillsregistry.net/skills/pearl  
JSON: https://api.skillsregistry.net/v1/skills/pearl

## Description

This MCP server provides integration with Pearl's AI and expert services platform, enabling access to both automated AI responses and human expert assistance across multiple domains including medical, legal, technical, and lifestyle topics. Built by Vitaliy Beketov, it implements three distinct interaction modes: AI-only for quick responses, AI-expert for AI-assisted human support with intake screening, and direct expert access for immediate human consultation. The implementation features conversation history tracking, session management with retry logic for expert availability, and comprehensive guidelines for routing queries to appropriate expertise levels, making it valuable for applications requiring reliable access to both AI and verified human expertise in specialized domains.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pearl)
- **Repository:** <https://github.com/pearl-com/pearl_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": "pearl"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pearl` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pearl/pull`

---
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