"Help Scout" matching MCP servers:

Enables agents to search answered tickets, ask new questions, and answer waiting questions on the shared help desk, while providing read-only observation of visits.

Campaign-driven social engagement MCP server for authentic developer community interaction (Dev.to, Bluesky, Twitter, Reddit) with a streamlined scout-draft-strike pipeline minimizing LLM round trips.

A comprehensive MCP server that provides full access to Help Scout's Docs and Inbox APIs. It enables users to manage knowledge base articles, collections, and sites while also handling customer conversations, threads, and mailbox operations.

DevsContext is an MCP server that provides AI coding agents with synthesized engineering context—requirements, decisions, architecture, and standards—from tools like Jira and Slack. It fetches and synthesizes relevant information on demand to help agents work on tasks correctly.

A Model Context Protocol server that enables Claude to help developers implement SMS and MMS messaging features in web and mobile applications through direct integration with BaaS API services.

A read-only MCP server that provides family-context tools for the A2Me platform, enabling AI assistants to answer family-related questions and help write messages by securely accessing family member profiles, upcoming events, and recent activity.

MCP server for the Plain customer support platform. Provides tools for managing threads, help center articles, and more.

Provides structured setup, configuration, and integration guidance for the ParrotPod platform, enabling AI assistants to help users with installation, deployment, and third-party integrations.

An MCP server that enables AI assistants like Claude to help users manage their GitHub notifications through natural language commands.

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.

Experimental server that implements the Model Context Protocol (MCP) for Nylas API, providing resources, tools, and prompts to help developers integrate email, calendar, and contacts functionality with AI applications.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

This is the Feishu/Lark official OpenAPI MCP (Model Context Protocol) tool designed to help users quickly connect to the Feishu/Lark platform and enable efficient collaboration between AI Agents and Feishu/Lark. The tool encapsulates Feishu/Lark Open Platform API interfaces as MCP tools, allowing AI assistants to directly call these interfaces and implement various automation scenarios such as document processing, conversation management, calendar scheduling, and more.

Provides comprehensive access to the Plain.com API with over 70 tools for managing support threads, customers, and help centers. It enables users to handle communications, automate support workflows, and manage documentation directly through natural language.

Enables AI assistants to connect to fonio.ai's public API for help-center search, API reference lookups, and verified outbound calling after user confirmation.

Google Chat MCP server that lets AI assistants like Claude and Cursor participate directly in team conversations - search messages, help teammates, share files, and coordinate across chat platforms.

Exposes the full Chatwoot API as 129 tools for AI assistants, enabling account, contact, conversation, message, inbox, team, report, help center, automation, and custom attribute management, plus exclusive Kanban and scheduled message features.

Summarizes Slack activity and GitLab merge requests with OpenAI to help generate daily standups, weekly reports, or quarterly check-ins.

Provides guidelines for writing proper apologies based on the situation, relationship, and severity. Returns structured prompts that help LLMs generate sincere and appropriate apology letters in Korean.