# genesys-mcp

> genesys-mcp — veenabob6-genesys-mcp. Use this tool when you need to automate and manage Genesys Cloud resources, such as creating queues, skills, and users, or designing and publishing Architect flows. It solves problems related to workflow automation, resource management, and integration with Genesys' pipeline, accepting inputs like flow diagrams and user data, and producing outputs like published flows and configured resources. Ideal for use cases that require dynamic configuration and deployment of Genesys Cloud resources, enabling AI assistants to build and manage customized workflows.

Canonical page: https://skillsregistry.net/skills/veenabob6-genesys-mcp  
JSON: https://api.skillsregistry.net/v1/skills/veenabob6-genesys-mcp

## Description

An MCP server for Genesys Cloud that enables AI assistants to create queues, skills, users, wrap-up codes, and Architect flows, as well as render flow diagrams and publish via Genesys' pipeline. It focuses on building and writing, not just reading.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ajlyv382tv)
- **Repository:** <https://github.com/veenabob6/genesys-mcp>

## 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": "veenabob6-genesys-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/veenabob6-genesys-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/veenabob6-genesys-mcp/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