@makingchatbots/genesys-cloud-mcp-server/dist/index.js

A Model Context Protocol (MCP) server exposing Genesys Cloud tools for LLMs, including sentiment analysis, conversation search, topic detection and more.

import platformClient from "purecloud-platform-client-v2";
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { createConfigRetriever } from "./createConfigRetriever.js";
import { searchQueues } from "./tools/searchQueues.js";
import { sampleConversationsByQueue } from "./tools/sampleConversationsByQueue/sampleConversationsByQueue.js";
import { queryQueueVolumes } from "./tools/queryQueueVolumes/queryQueueVolumes.js";
import { voiceCallQuality } from "./tools/voiceCallQuality/voiceCallQuality.js";
import { conversationSentiment } from "./tools/conversationSentiment/conversationSentiment.js";
import { conversationTopics } from "./tools/conversationTopics/conversationTopics.js";
import { searchVoiceConversations } from "./tools/searchVoiceConversations.js";
import { conversationTranscription } from "./tools/conversationTranscription/conversationTranscription.js";
import { OAuthClientCredentialsWrapper } from "./auth/OAuthClientCredentialsWrapper.js";
const withAuth = OAuthClientCredentialsWrapper(createConfigRetriever(process.env), platformClient.ApiClient.instance);
const server = new McpServer({
    name: "Genesys Cloud",
    version: "0.0.15", // Same version as version in package.json
});
const routingApi = new platformClient.RoutingApi();
const analyticsApi = new platformClient.AnalyticsApi();
const speechTextAnalyticsApi = new platformClient.SpeechTextAnalyticsApi();
const recordingApi = new platformClient.RecordingApi();
const searchQueuesTool = searchQueues({ routingApi });
server.tool(searchQueuesTool.schema.name, searchQueuesTool.schema.description, searchQueuesTool.schema.paramsSchema.shape, searchQueuesTool.schema.annotations, withAuth(searchQueuesTool.call));
const sampleConversationsByQueueTool = sampleConversationsByQueue({
    analyticsApi,
});
server.tool(sampleConversationsByQueueTool.schema.name, sampleConversationsByQueueTool.schema.description, sampleConversationsByQueueTool.schema.paramsSchema.shape, sampleConversationsByQueueTool.schema.annotations, withAuth(sampleConversationsByQueueTool.call));
const queryQueueVolumesTool = queryQueueVolumes({ analyticsApi });
server.tool(queryQueueVolumesTool.schema.name, queryQueueVolumesTool.schema.description, queryQueueVolumesTool.schema.paramsSchema.shape, queryQueueVolumesTool.schema.annotations, withAuth(queryQueueVolumesTool.call));
const voiceCallQualityTool = voiceCallQuality({ analyticsApi });
server.tool(voiceCallQualityTool.schema.name, voiceCallQualityTool.schema.description, voiceCallQualityTool.schema.paramsSchema.shape, voiceCallQualityTool.schema.annotations, withAuth(voiceCallQualityTool.call));
const conversationSentimentTool = conversationSentiment({
    speechTextAnalyticsApi,
});
server.tool(conversationSentimentTool.schema.name, conversationSentimentTool.schema.description, conversationSentimentTool.schema.paramsSchema.shape, conversationSentimentTool.schema.annotations, withAuth(conversationSentimentTool.call));
const conversationTopicsTool = conversationTopics({
    speechTextAnalyticsApi,
    analyticsApi,
});
server.tool(conversationTopicsTool.schema.name, conversationTopicsTool.schema.description, conversationTopicsTool.schema.paramsSchema.shape, conversationTopicsTool.schema.annotations, withAuth(conversationTopicsTool.call));
const searchVoiceConversationsTool = searchVoiceConversations({
    analyticsApi,
});
server.tool(searchVoiceConversationsTool.schema.name, searchVoiceConversationsTool.schema.description, searchVoiceConversationsTool.schema.paramsSchema.shape, searchVoiceConversationsTool.schema.annotations, withAuth(searchVoiceConversationsTool.call));
const conversationTranscriptTool = conversationTranscription({
    recordingApi,
    speechTextAnalyticsApi,
    fetchUrl: fetch,
});
server.tool(conversationTranscriptTool.schema.name, conversationTranscriptTool.schema.description, conversationTranscriptTool.schema.paramsSchema.shape, conversationTranscriptTool.schema.annotations, withAuth(conversationTranscriptTool.call));
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("Genesys Cloud MCP Server running on stdio");