"Collecting and Analyzing Server-Side Errors Based on MySQL, Redis, and Elasticsearch" matching MCP servers:

Enterprise support ticket system using FastMCP server with Redis for persistent state and multiple clients.

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org

Get live UK 3D printing prices for your own STL/3MF/STEP files or Printables and Thingiverse models, with a checkout link. Also finds mail-in electronics repair prices and checks order or repair progress.

Laya-MLX as an MCP server (and plain-HTTP API). It answers typed decisions — choose an option / score a rubric / is this true? — on your own machine (Apple Silicon / MLX), with no cloud and ~10ms after warm-up. Not a chatbot. No token-by-token text, no JSON that can break. One forward pass returns a structured answer you can branch on. Ideal for routing, triage, classification, lead scoring, and g

Enables AI-driven customer support ticket processing, including classification, response generation, and automated email sending and Google Sheets logging.

Provides MSP support tools (ticket search, draft response, KB search, update) with a deterministic security guardrail that refuses to draft responses for security tickets based on content scanning, even if mislabeled.

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

Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.

Simulates a multi-tenant customer support backend with tools for profile, order, ticket, and refund management, demonstrating security controls like tenant isolation, role-based access, and input validation.

MCP server for Zammad that focuses on workflows the standard Zammad API tooling does not cover well — primarily shared drafts with strict reply-HTML validation, fresh signature rendering and German-localised quote blocks.

Enables AI agents to read monitors and incidents and to create, update, and resolve incidents on Kener v4 status pages, with read-only tools marked safe and write operations available when permitted.

Enables AI agents to send SMS from and read incoming messages on a paired Android phone, and to inspect devices, message history, and per-recipient send status.

MCP server for managing support tickets on Concrete CMS sites via REST API. Enables listing, reading, replying to tickets, and handling projects, attachments, and moderation.

Enables an AI agent to act as first-line customer support on top of Microsoft Dynamics 365 / Dataverse, reading incoming synced emails, looking up contacts and published knowledge articles, and drafting HTML-safe replies or escalating to a human as a Case. Runs draft-only by default with safeguards against prompt injection, duplicate replies, and unsafe recipients.

Enables querying and analyzing Genesys Cloud data such as queues, conversations, voice call quality, sentiment, topics, transcripts, and OAuth client usage through natural language.

A ServiceNow MCP server that enables natural language management of incidents via the Table API, with tools to create, read, update, search, comment on, and resolve incidents.

A community-maintained fix for the MCP Feedback Enhanced server, resolving image attachment serialization, web panel 500 errors, and extending default timeout for long-running feedback sessions.

Enables AI assistants to send template-based SMS messages through EngageLab. Supports multiple recipients and template parameters via a single tool.

Enables AI assistants to manage PagerDuty incidents, view alerts, and check on-call schedules with both read-only and write operations.

A local MCP server that lets any LLM agent manage Pine AI tasks — negotiate bills, cancel subscriptions, resolve disputes, and make phone calls on your behalf.

Enables AI assistants to answer a small business's customer questions from its own FAQs and order data, list upcoming open appointment times in the business's time zone, and book one of those offered slots with staff notification. Free for the first 1,000 businesses, using fast rule-based FAQ matching rather than free-form generation.

Hosted MCP for MeetMyAgent: set up and manage a business AI agent that answers customer questions on your website and dedicated page. Connect at https://meetmyagent.io/mcp with OAuth. The old npm client is retired.

Enables any MCP client to run natural-language queries and actions against CRM and ticket systems, with schema-validated tools, audit logging, and server-side write gating.

Enables AI assistants to manage website feedback from Feedbucket, including listing, filtering, commenting on, and resolving feedback items through natural language interactions.

Protects AI support tools with Descope JWT authentication and scope-based authorization, enabling secure customer support operations like refunds with granular access control.

Universal MCP server for the Avito API (Russia's largest classifieds marketplace), built for autonomous AI agents to operate an account hands-free — 145 tools across 18 domains (listings, messenger, orders, delivery, promotion, autoload, reviews, analytics). Safe-by-default: dry-run, idempotency, structured errors, confirmation flow.

Enables full CRUD operations on Zendesk admin configurations like triggers, automations, macros, views, SLA policies, groups, ticket fields, forms, and webhooks, with a preview-confirm guard for destructive changes.

Validates whether phone numbers are registered on WhatsApp, supporting single and bulk (up to 10) number checks.

A local MCP server that enables searching, reading, creating, updating, and commenting on NinjaOne tickets through natural language.

An MCP server that lets AI assistants search and read support tickets from Jitbit Helpdesk. Works with both SaaS and on-premise installations.