"Understanding Requirement Analysis" matching MCP servers:

Comment moderation, multilingual sentiment analysis, and Influence (constructive comment generation) for any article. Wraps the SentiSift API.

Enables fetching and analyzing Zendesk support tickets and Help Center articles for trend analysis, knowledge base management, and drafting new articles.

Enables semantic search and analysis of customer support tickets. Provides tools to search tickets, analyze the dataset, and retrieve individual tickets using natural language.

An AI-powered MCP server for EdTech teams that automates support triage, re-engagement outreach, feedback analysis, progress reporting, and course design using Gemini.

Enables interaction with Genesys Cloud's Platform API to search queues, analyze conversation volumes, retrieve voice call quality metrics, sentiment analysis, transcripts, and manage OAuth clients through natural language.

Enables comprehensive management of Zendesk tickets, comments, and Help Center articles through tools for searching, creating, and updating content. It includes specialized prompts for ticket analysis and response drafting to streamline support workflows.

Enables AI-powered ticket analysis and comprehensive Zendesk API integration via the Model Context Protocol, supporting both API token (CLI) and OAuth 2.1 (web) authentication modes.

An MCP server that exposes three tools to analyze call transcripts for business intelligence, score leads 0-100 with hot/warm/cold classification, and diagnose n8n workflow errors with root cause analysis and proposed fixes.

An MCP server that provides operational tooling over the Zendesk Support API — ticket triage, SLA monitoring, agent workload analysis, and system health audits.

A read-only MCP server that connects AI assistants to Freshservice Service Desk for ticket triage, asset analysis, and support history summarization.

Enables AI clients to securely access and query Microsoft Dynamics 365 data through natural language, supporting data analysis, reporting, and business workflows.

Provides hospitality intelligence tools for restaurant optimization, including menu profitability analysis, food cost calculation, reservation management, review sentiment analysis, and allergen checking.

Enables analysis and management of iOS/macOS apps via the App Store Connect API, including app management, reviews, sales reports, analytics, performance metrics, and TestFlight.

Provides AI-powered child safety tools to detect bullying, grooming, and unsafe content within digital conversations. It enables AI assistants to perform emotional analysis and generate age-appropriate safety action plans or incident reports.

Enables Claude to perform structured classification, ticket analysis, and content moderation using TypeSafe models.

Enterprise-grade sentiment analysis tool for AI agents, enabling sentiment labeling, keyword extraction, and batch analysis via MCP.

Enables comprehensive audit of WhatsApp business conversations, including history export, LLM analysis with verification, and multi-format report generation.

Connects Claude and other AI assistants to Help Scout customer support data with advanced search capabilities, conversation analysis, and enterprise-grade security features including PII redaction.

Enables acoustic vocal emotion, prosodic valence, and customer frustration analysis on audio queries via the Model Context Protocol, letting MCP-compliant clients obtain structured emotional telemetry and deterministic results.

MCP server for Genesys Cloud Platform API, enabling queue search, conversation analysis, call quality, sentiment, topics, and transcript retrieval.

Enables read-only SQL analysis of sales data, BM25-based retrieval of SOPs with citations, and validated support-ticket creation with human confirmation, plus schema/document resources and a ticket-triage prompt.

Enables retrieving and managing Zendesk tickets and comments, accessing Help Center articles as a knowledge base, and using specialized prompts for ticket analysis and response drafting.

MCP server enabling NPS chatbot interactions, summaries, topic analysis, and example comments via natural language.

Enables AI clients to access DTing business functions including company briefs, MCP tool suggestions, support replies, profile prompts, match context analysis, and safety checklists.

Enables users to collect, search, and retrieve product feedback and full conversation threads directly from Slack channels. It supports filtering messages by specific stakeholders and time ranges to facilitate efficient feedback analysis.

MCP server for iTop ITSM that provides 19 tools for analytics, ticket management, comments, knowledge base, and CI impact analysis, enabling AI assistants to interact with iTop.

Enables AI assistants to retrieve, create, and manage Zendesk tickets, comments, and attachments, with prompts for ticket analysis and response drafting plus access to Help Center articles as a knowledge base. Supports per-operator OAuth authentication so API calls carry each user's own Zendesk permissions.

MCP-compatible backend that automates ServiceNow incident handling via Microsoft 365 Copilot, offering tools for incident analysis, automation, and job status retrieval.

A local MCP server that helps the Payments team by querying microservice specs, payment flows, triaging CS tickets with GCP analysis, and calling Stark Bank APIs in development/sandbox environments.

Enables AI agents to interact with Zendesk ticket data for customer support analysis and insights. It supports searching tickets by tags or keywords, retrieving ticket details, and analyzing agent performance and service trends.