"MCP servers for IntelliJ GitHub Copilot integration with Hibernate HQL support" matching MCP servers:

Product management copilot that connects Claude to HelpScout support tickets and ProductLift feature requests. Synthesizes customer feedback across sources, scores themes by convergence, and generates prioritized product plans.

Enables an ElevenLabs support agent to call support tools over MCP, including Discord ticket flows, post-call webhook handling, and knowledge-base syncing.

Enables AI clients to list, inspect, triage, and update support tickets via MCP tools, with a mocked dataset designed for swapping in real ticket sources later.

MCP server for AI-native L1 support: triages tickets, answers from a knowledge base, escalates to L2 via Telegram/GitHub, and manages feedback, with a LangGraph workflow and safety guardrails.

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.

Provides customer lookup, transaction history, knowledge-base search, and ticket management tools to any MCP client.

MCP server for Google Cloud Support API v2. Provides tools for managing Google Cloud support cases through AI assistants.

A local stdio MCP server that brings scattered tickets, transactions, and current policies together so a model can retrieve evidence, assess cases, and prepare reply and escalation drafts. All writes stay local and pending human review, with no ability to send messages, move money, change accounts, or publish content.

Enables read-only lookup of support tickets and ticket lists through two tools, returning only bounded fields like ID, status, title and note. Tenant filtering and argument validation confine every read to the configured organization, with denied access and upstream failures surfaced as explicit results.

Enables customer-success teams and AI hosts to inspect account evidence, assess onboarding readiness, assemble unsent bilingual follow-up drafts, and prepare traceable technical handoffs through scoped MCP tools. It preserves source references and distinguishes recorded failures, missing evidence, and possible explanations for human review.

Enables Claude to manage customers and support tickets through database-backed CRUD tools, contextual customer and knowledge resources, and a reusable ticket-triage prompt.

Enables agents to run support workflows across Gmail, Linear, Stripe, Slack, Notion and other apps — turning support email into tracked bugs with drafted replies, handling refunds end to end, and replying in-thread once issues are fixed.

Exposes order status lookup and knowledge base search tools from the Support Agent AI over MCP, enabling MCP clients to handle customer support queries with grounded, citation-backed answers.

Adds customer support to your own MCP server: support_ask answers from your rules, support_open_ticket files a ticket with the failed tool calls attached, support_ticket_status brings the team's answer back into the chat. Includes a runnable demo server.

Exposes a support-ticket inbox as tools an AI client can use to list, inspect, triage, and update tickets, including LLM-based category, priority, and sentiment classification with a drafted first response informed by similar past tickets. It works with a mocked dataset styled after a home-loan partner-support inbox, with the tool interface designed so a real ticket source could be swapped in later.

Enables AI agents to manage Discord support tickets by listing, reading, replying to, renaming, and closing ticket channels, with PII redaction for self-hosted compliance.

Enables MCP clients to list, create, and update support tickets, classify them by category, priority, and sentiment, detect duplicates, and answer queue questions using retrieval-augmented LLM tools.

AI-powered helpdesk management via Model Context Protocol. Connect any MCP-compatible assistant to your support workspace.

Enables AI assistants to handle customer support by looking up order status, semantically searching knowledge bases, and creating support tickets through MCP tools, with grounded answers and automated evaluations.

Enables a support bot to answer FAQ questions from a local vector store, with admin tools to add, list, and delete knowledge entries while enforcing read-only versus admin bearer-token permissions.