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 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.
MCP server that enables AI assistants to operate Rakuten Market RMS through official APIs, covering order management, sales aggregation, products, inventory, coupons, and inquiries. Supports Cursor and Claude Desktop via stdio connection.
An open-source, headless HubSpot alternative that exposes CRM, conversations, CMS, knowledge base, outreach, and analytics as MCP tools for AI agents to operate.
Enables an AI agent to work LINE Official Account Manager chats like a customer-support person, including listing, reading, searching, viewing profiles and attachments, and optionally sending replies with human approval while remaining read-only by default.
Enables AI agents to read service desk tickets, time entries, client accounts, contacts, contracts and the service catalog, and on explicit request create tickets and add ticket notes, through the Kaseya BMS REST API v2. Stateless and multi-tenant, it takes credentials per request via HTTP headers and returns structured JSON results or error envelopes.
MCP server for Kaseya BMS PSA — tickets, accounts, time entries, and contracts. Enables AI assistants to manage service desk operations via the Kaseya BMS API.
Exposes simulated Salesforce CRM data as MCP tools for Claude Desktop, enabling customer success managers to prioritize at-risk accounts, review opportunities, cases, and Gong notes via natural language.
Enables AI agents to automate and navigate Naver SmartStore administration by providing screen and selector maps, Talk CS handling, three-step safety approvals, official help-document RAG, and search ad keyword tools.
Enables semantic search and analysis of customer support tickets. Provides tools to search tickets, analyze the dataset, and retrieve individual tickets using natural language.