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genesys-mcp
by joe23byte

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    • A
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      An MCP server that puts a Genesys Cloud org in an AI assistant's hands, enabling it to build queues, skills, users, wrap-up codes, Architect flows, and outbound contact lists, campaigns, and cadences. It composes flows as diagrams and YAML, then publishes them through Genesys' own validation pipeline.
      MIT
    • A
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      B
      maintenance
      MCP server for Genesys Cloud that enables AI assistants to build and manage queues, skills, users, wrap-up codes, and Architect flows, including a flow builder that renders diagrams and publishes via Genesys' validation pipeline.
      21
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    • A
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      maintenance
      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.
      MIT
    • A
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      C
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      An MCP server that lets an AI build hours of operation, queues, routing profiles, and real IVR flows from plain English, diagram them in chat, validate them with the platform's own flow validator, and prove them with simulated test calls. It is deliberately unable to go live on its own — no dialing, no number association, no deletes — so a human always makes the final connection.
      2
      MIT
    • A
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      maintenance
      Enables building and managing Genesys Cloud resources—such as queues, skills, users, Architect flows, outbound campaigns, and agentic virtual agents—through natural language from any MCP client, including diagramming and publishing via Genesys' own pipelines.
      MIT
    • A
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      quality
      C
      maintenance
      Connects MCP clients such as Claude and ChatGPT to the Five9 cloud contact center, exposing read and write tools over its Configuration and Statistics APIs for campaigns, agents, skills, DNC lists, reports, and live queue metrics. It also lets an AI design and deploy complete IVR call flows from a plain-English description, with graph validation and rendered Mermaid previews.
      MIT