# Genesys Cloud

> Use this tool when you need to integrate AI assistants with Genesys Cloud's contact center data to analyze performance and routing metrics. It solves problems related to accessing and interpreting contact center analytics, providing tools for queue searching, conversation volume querying, and voice call quality analysis. With OAuth authentication and support for real API connections or mocking mode, it offers a flexible interface for developing conversational business intelligence tools.

Canonical page: https://skillsregistry.net/skills/makingchatbots-genesys-cloud  
JSON: https://api.skillsregistry.net/v1/skills/makingchatbots-genesys-cloud

## Description

Genesys Cloud MCP Server provides a bridge between AI assistants and Genesys Cloud's Platform API, enabling access to contact center analytics and routing data. Developed by Lucas Woodward as a personal project, it offers tools for searching queues, querying conversation volumes, sampling conversations by queue, and analyzing voice call quality metrics. The implementation handles authentication through OAuth client credentials and supports both real API connections and a mocking mode for testing. Built with TypeScript and the Model Context Protocol SDK, this server is particularly valuable for creating conversational business intelligence tools that can analyze contact center performance without requiring direct API knowledge.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

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

REST: `GET https://api.skillsregistry.net/v1/skills/makingchatbots-genesys-cloud` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/makingchatbots-genesys-cloud/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