// may the 4th be with you⚔️
cloud-infrastructureanalytics-data

Genesys Cloud

by makingchatbots

Genesys Cloud connects call center analytics and routing data for advanced contact center analytics, offering deep busin

Provides a bridge between contact center analytics and routing data in Genesys Cloud, enabling conversational business intelligence through queue searches, conversation volume queries, call sampling, and voice quality metrics analysis.

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

8+ specialized contact center toolsVoice quality and sentiment analysisConversation sampling and search

best for

  • / Contact center managers analyzing performance
  • / Quality assurance teams reviewing calls
  • / Business analysts studying customer interactions
  • / Operations teams monitoring queue volumes

capabilities

  • / Search contact center queues by name
  • / Query conversation volumes and queue metrics
  • / Sample conversation IDs from specific queues
  • / Analyze voice call quality metrics
  • / Extract conversation sentiment and topics
  • / Retrieve conversation transcripts

what it does

Connects to Genesys Cloud contact center platform to query analytics data, conversation metrics, and call quality information through conversational AI.

about

Genesys Cloud is a community-built MCP server published by makingchatbots that provides AI assistants with tools and capabilities via the Model Context Protocol. Genesys Cloud connects call center analytics and routing data for advanced contact center analytics, offering deep busin It is categorized under cloud infrastructure, analytics data.

how to install

You can install Genesys Cloud in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Genesys Cloud is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Genesys Cloud MCP Server

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A Model Context Protocol (MCP) server for Genesys Cloud's Platform API.

Features

ToolDescription
Search QueuesSearches for queues by their name (supports wildcards)
Query Queue VolumesRetrieves conversation volumes and member count by Queue IDs
Sample Conversations By QueueRetrieves a representative sample of Conversation IDs for a Queue ID
Voice Call QualityRetrieves voice call quality metrics for one or more conversations by ID
Conversation SentimentRetrieves the sentiment for one or more conversations by ID
Conversation TopicsRetrieves the topics for a conversation by ID
Search Voice ConversationSearches voice conversations by optional criteria
Conversation TranscriptRetrieves conversation transcript
OAuth ClientsRetrieves a list of all the OAuth clients
OAuth Client UsageRetrieves OAuth client usage for given period

Usage with Claude Desktop

MCP Bundle

This MCP Server provides an MCP Bundle (.mcpb file) along with each release, which is a single-click installable package for Claude Desktop. To use it:

  1. Download the .mcpb file from the latest release
  2. In Claude Desktop navigate to Settings > Extensions.
  3. Open the .mcpb file with Claude
  4. Configure the Region and OAuth Client for the extension

The extension will now be available in your conversations.

NPX

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "genesys-cloud": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@makingchatbots/genesys-cloud-mcp-server"],
      "env": {
        "GENESYSCLOUD_REGION": "<PUT REGION HERE>",
        "GENESYSCLOUD_OAUTHCLIENT_ID": "<PUT OAUTHCLIENT ID HERE>",
        "GENESYSCLOUD_OAUTHCLIENT_SECRET": "<PUT OAUTHCLIENT SECRET HERE>"
      }
    }
  }
}

Usage with Gemini CLI

Add below to your .gemini/settings.json file. You can read more about the setup from the official guide.

{
  "mcpServers": {
    "genesysCloud": {
      "command": "npx",
      "args": ["-y", "@makingchatbots/genesys-cloud-mcp-server"],
      "env": {
        "GENESYSCLOUD_REGION": "${GENESYSCLOUD_REGION}",
        "GENESYSCLOUD_OAUTHCLIENT_ID": "${GENESYSCLOUD_OAUTHCLIENT_ID}",
        "GENESYSCLOUD_OAUTHCLIENT_SECRET": "${GENESYSCLOUD_OAUTHCLIENT_SECRET}"
      }
    }
  }
}

Authentication

This currently only supports a stdio server. To configure authentication you'll need to:

  1. Create an OAuth Client in Genesys Cloud
  2. Assign the permissions to it for the tools you want to be used
  3. Provide the following environment variables when referencing the server:
    • GENESYSCLOUD_REGION
    • GENESYSCLOUD_OAUTHCLIENT_ID
    • GENESYSCLOUD_OAUTHCLIENT_SECRET

Development

Getting Started

nvm use
npm install
npm run dev

Under active development

This is part of personal project to create a conversational Business Insights tool. It is a practical way for me to learn MCP servers, and how best to represent Genesys Cloud's Platform APIs in a way that can be easily consumed by LLMs.

There will be a lot of changes, and I will be sure to share my learnings in my newsletter.

FAQ

What is the Genesys Cloud MCP server?
Genesys Cloud is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Genesys Cloud?
This profile displays 62 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Discussion

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Ratings

4.562 reviews
  • Jin Nasser· Dec 24, 2024

    Genesys Cloud reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Diego Park· Dec 20, 2024

    Genesys Cloud is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Sofia Thompson· Nov 15, 2024

    Useful MCP listing: Genesys Cloud is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Omar Srinivasan· Nov 11, 2024

    We evaluated Genesys Cloud against two servers with overlapping tools; this profile had the clearer scope statement.

  • Sofia Wang· Oct 6, 2024

    Strong directory entry: Genesys Cloud surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Omar Verma· Oct 2, 2024

    I recommend Genesys Cloud for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Ganesh Mohane· Sep 13, 2024

    Genesys Cloud reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Neel Tandon· Sep 13, 2024

    Genesys Cloud is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Ren Abbas· Sep 13, 2024

    I recommend Genesys Cloud for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Omar Martinez· Sep 13, 2024

    Genesys Cloud is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

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