Communication & Messaging MCP servers connect AI clients directly to team chats, video platforms, schedulers, and messaging queues. The directory provides integrations for platforms like Zulip, Zoom, and Routine, allowing models to query transcripts, dispatch notifications, schedule events, and interact with daily productivity tools.
Communication & Messaging MCP servers let AI assistants read, search, draft, and dispatch messages across team collaboration platforms, email services, video conferencing tools, and notification queues. By exposing standard Model Context Protocol endpoints, these servers allow client models to interact directly with internal chat channels, meeting transcripts, scheduling tools, and external notification pipelines without manual copy-pasting.
When evaluating communication servers, consider three technical criteria:
Top options in this directory address distinct collaboration workflows: Zulip MCP Server bridges conversational streams and channel histories to local models; Zoom Transcript pulls meeting dialogue into the context window for fast summarization; Zoom MCP Server manages video calls through natural language controls; and Routine lets assistants query calendars, tasks, and personal notes.
| MCP server | What it connects to | Type | Repository |
|---|---|---|---|
| Zulip MCP Server | The Zulip MCP Server acts as a bridge between the Zulip chat platform and AI assistants like Claude. Essentially, it | Open Source | https://github.com/Monadical-SAS/zulip-mcp |
| Zoom Transcript | The Zoom Transcript MCP server acts as a smart bridge between Zoom meeting recordings and AI assistants. It allows users | Open Source | https://github.com/forayconsulting/zoom_transcript_mcp |
| Zoom MCP Server | The Zoom MCP Server acts as a digital bridge between AI assistants and Zoom, allowing users to manage their video | Unknown | https://github.com/JavaProgrammerLB/zoom-mcp-server |
| Zapier | Zapier MCP acts as a universal bridge that connects AI assistants like Claude and ChatGPT to a massive ecosystem of | Freemium | |
| Yuga Planner | Yuga Planner acts as an intelligent project assistant that takes the guesswork out of scheduling. By simply describing a project—such | Unknown | https://github.com/blackopsrepl/yuga-planner |
| salary-Web | salary-Web is an MCP server that provides enterprise payroll and payslip management tools integrated with DingTalk Smart Payroll. Designed for | Unknown | https://github.com/renlijia-ai/salary-mcp |
| Rongcloud Native MCP | Rongcloud Native MCP is an MCP server that provides access to Rongcloud instant messaging services by wrapping the underlying Rust | Unknown | https://github.com/rongcloud/rongcloud-native-mcp-python |
| RocketMQ | RocketMQ is an MCP server that provides Model Context Protocol interfaces for Apache RocketMQ clusters. Built on Spring Boot, it | Open Source | https://github.com/francisoliverlee/rocketmq-mcp |
| rssmcp | rssmcp is an MCP server that fetches RSS feeds and returns their entries as formatted plain text directly to LLM | Open Source | https://github.com/Lunran/rssmcp |
| Zulip Chat | This MCP server acts as a powerful bridge between AI assistants and the Zulip team chat platform, effectively giving large | Unknown | https://github.com/akougkas/zulipchat-mcp |
Zoom Transcript and Zoom MCP Server are standard choices for video communication. Zoom Transcript allows models to read and summarize past meeting transcripts, while Zoom MCP Server provides endpoints to manage video calls and schedule meetings directly through natural language instructions.
To connect a team chat server like Zulip MCP Server or Zulip Chat, add the server configuration to your Claude Desktop configuration file under mcpServers. Specify the executable command, local script path, and required environment variables, including your Zulip API key, email address, and organization URL.
Yes. Routine serves as an MCP server that interfaces with calendar events, daily tasks, and notes, while Yuga Planner provides project-scheduling capabilities. Both allow an AI assistant to coordinate deadlines and daily agendas alongside incoming conversational messages.
For message streaming and feeds, RocketMQ connects language models to distributed messaging queues via environment variables. For syndication feeds, rssmcp converts RSS entries into formatted text using OPML files, and RSSidian routes feed contents into personal knowledge bases.