MCP for Genesys Cloud CX

MCP built for Genesys Cloud CX. Read every voice and digital interaction from Claude, ChatGPT or Gemini — staff for how calls really arrive, score calls, find where resolution time goes. Comes with 149 skills built in.

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Ask Claude to run a skill on Genesys Cloud CX…

Genesys Cloud CX MCP server. A well-built community server wraps the Genesys Platform API. Genesys' own MCP support is the client side, during the interaction. Rulebase reads the conversations themselves — connect Genesys Cloud CX and ask Claude, ChatGPT, Gemini or Cursor a question that needs what was actually said, with 149 customer-operations skills carrying the method.

Demand and capacityStaff for how interactions actually arriveAnalyse contact arrival distributions and choose staffing models that match reality — burstiness, batch dumps, abandonment censoring and when Poisson or Erlang assumptions fail.
QualityScore calls without grading the transcriptionFlowsFind where the resolution time really goesChannelsCount a customer once across every channel
01QA scorecard designBuild a scorecard, size the sample, keep auto-fails separateAll providersScorecards and calibration02Volume forecastingForecast contacts, and work out how many people you needAll providersDemand and capacity03Routing auditFind misroutes, ping-pong and queues nobody ownsAll providersRouting and backlog04Backlog triageFind the tickets in the backlog actually at riskAll providersRouting and backlog05Bot deflection analysisCheck whether the bot actually reduced contactsAll providersChannels and experience06Handle time analysisFind where handling time goes before anyone blames a personAll providersRouting and backlog07Repeat contact and FCRMeasure repeat contact properly, then FCR from itAll providersRouting and backlog08Cost to serveWork out what a contact really costs, defensiblyAll providersCost and content09Reviewer calibrationSee whether your reviewers agree, and fix bias and noise apartAll providersScorecards and calibration10CSAT and NPS surveysPick between CSAT, NPS and CES, and fix response biasAll providersChannels and experience11AI agent evaluationTest an AI agent before shipping a prompt or model changeAll providersAI oversight12Customer issue researchName why customers contact you, in causes you can removeAll providersDemand and capacity

Genesys Cloud CX and MCP

Is there an MCP server for Genesys Cloud CX?
Yes — a well-maintained community server wraps the Genesys Cloud Platform API and ships a one-click bundle for Claude Desktop, with forks adding analytics. Genesys' own MCP support is the client side: its virtual agents calling your tools during an interaction. What the wrappers return is the API's view of an interaction. Rulebase normalises voice and digital into one conversation record, so a customer who called and then messaged counts once — with 149 customer-operations skills on top.
Does it work across voice and digital together?
Yes. The conversation schema skill normalises them into one shape first, so a customer who called and then messaged counts once rather than twice.
Do we need to move off Genesys?
No. Rulebase reads a copy of the conversation record. Genesys stays the system of record and the place your agents work.

The other MCP servers for Genesys Cloud CX

  • genesys-cloud-mcp-server

    Communityby MakingChatbots

    The Genesys Cloud Platform API, shipped as a one-click .mcpb bundle for Claude Desktop. Enhanced forks add conversation and wrap-up analytics.

  • MCP in Architect flows

    From the vendorby Genesys

    The client side: Genesys virtual agents calling your tools mid-interaction. It does not expose your interaction history to an AI client you choose.

Use one of these if you want to read or update Genesys Cloud CX records from an AI client — that is what they are for. Rulebase is for the questions they cannot answer: whether the bot is deflecting or merely containing, whether your reviewers agree, whether a complaint was identified, whether first contact resolution is real. Those need the conversation rather than the recorded fields, joined across channels so one customer counts once, in enough volume to sample defensibly.

How to connect Genesys Cloud CX to Claude, ChatGPT or Gemini

  1. Sync Genesys Cloud CX into Rulebase. Connect Genesys Cloud CX to a Rulebase workspace. Rulebase reads a copy of the conversation record; Genesys Cloud CX stays the system of record.
  2. Add the Rulebase MCP server to your AI client. Point Claude, ChatGPT, Gemini or Cursor at the Rulebase MCP server. The conversations, calls and transcripts become readable from the client you already use.
  3. Install the skills and ask. Run npx rulebase-skills install --all, then ask a question. The matching skill runs against your Genesys Cloud CX conversations and answers from what was actually said.

Other platforms: MCP for Zendesk, MCP for Freshdesk, MCP for Help Scout, MCP for Crisp, MCP for Aircall, MCP for Five9, MCP for NICE CXone, MCP for Avaya. Browse all 149 skills. Last reviewed 2026-08-10 · see which platforms publish an MCP server.

Compliance and security
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SOC 2 Type II. GDPR. PCI DSS. Zero AI training on your data. Built for the compliance demands of regulated financial services.

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SOC Type 2

We meet SOC 2 requirements to ensure secure and compliant management of data across all our systems.

GDPR

With our operations in Ireland, we operate under GDPR – the world's strictest standard for data privacy.

PCI DSS

We protect cardholder and payment data in line with PCI DSS standards, ensuring secure processing across all transactions.

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We encrypt your data with AES-256 at rest and TLS in transit, ensuring end-to-end protection for every byte.

Review every conversation. Act on what it finds.

AI for customer operations, built for financial services. Specialist agents chase every issue to resolution and every stalled customer to activation.

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