"How to interact with Notion" matching MCP servers:

Enables automatic collection and AI analysis of Slack messages to create organized Notion pages, supporting custom analysis directions like meeting minutes, issue extraction, and topic classification.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Minimal MCP server for sending messages to Poke via the inbound webhook.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

Enables users to interact with a business co-founder/executive assistant that integrates with Google services (Gmail, Calendar, Contacts), web search, and includes approval gating for sensitive operations.

A unified MCP server that provides OAuth-enabled integrations for multiple services through a single deployment. Currently supports Slack with 47 tools, with plans to expand to Gmail, Google Calendar, Notion, and 100+ other integrations.

A unified Model Context Protocol server that provides a consistent interface for AI assistants to interact with productivity tools like Linear, GitHub, Slack, and Notion. It enables users to search, retrieve, and manage tasks and data across multiple workplace services from a single endpoint.

A self-hosted server that enables community members to sign in with Discord and, within role-granted permissions, let AI read Discord channels and read/write Notion pages and databases.

MCP server for qualifying and responding to inbound leads in seconds using a multi-agent AI pipeline.

Publish reliable, duplicate-free Telegram posts from ChatGPT — manually or as part of a scheduled workflow.

Enables AI agents to interact with Microsoft 365 Outlook Mail, allowing email operations via natural language.

Enables AI agents to interact with Telegram through 50+ tools for chats, messages, contacts, users, groups, and channels, with per-topic isolation and a reactive inbox for multi-agent use.

Enables AI agents to interact with a personal Telegram account via MCP, offering tools for reading and searching chats, summarizing unread messages, sending and editing messages, handling files and voice transcripts, and managing groups and channels, with read-only mode by default.

Enables AI agents to access user and message data through MCP resources, providing REST API integration for user management with paginated lists and thread tracking.

Enables AI agents to interact with WhatsApp through a Model Context Protocol server, supporting sending text messages, contacts, links, and locations via standardized tools.

A Model Context Protocol server that enables Claude to interact with Mattermost instances, supporting post management, channel operations, user management, and reaction management.

Enables an MCP client to operate a personal Telegram account directly: read chats, send messages, interact with bots, schedule broadcasts, and research YouTube, Reddit, and Instagram.

Model Context Protocol server for MCPGRAM that enables MCP clients to interact with connectors like GitHub, Slack, and Notion through stdio or Streamable HTTP transports.

Enables Claude Code to interact with Slack via MCP tools, allowing thinking steps, text streaming, status updates, and stream closure in Slack threads.

Enables AI agents to notify users via Telegram or Discord when tasks complete, then wait for and receive the user's reply as the next instruction within the same session.

Enables AI assistants to send real faxes through the FaxDrop API. Provides safeguards including rate limiting, dry-run mode, and audit logging for secure fax operations.

Enables uploading local files to Slack with a message, supporting channels, DMs, threads, and file titles.

Enables remote control of the Cursor AI agent via chat platforms like GitHub Issues or Telegram, allowing users to start sessions and receive summaries and prompts in a chat thread.

Enables Claude to make outbound phone calls through Vapi API, supporting any call type and language with features like call initiation, result polling, and structured data extraction.

Enables AI agents to prompt users for input directly within the chat UI using MCP's elicitation capabilities, allowing for interactive multi-turn conversations without leaving the conversation interface.

Enables AI agents to prepare, preview, quote, and send approved faxes, track delivery and evidence, read inbound faxes, extract data, and request human approvals through a fax API.

Turns team chat (Slack, Discord, MS Teams, Mattermost) into a living knowledge base - a typed knowledge graph plus auto-generated wiki - exposed to AI agents through a 28-tool MCP server with semantic search, expert finding, and decision tracing.

Enables AI agents and CLI workflows to send push notifications to a user's phone when a task finishes, fails, or needs attention. Exposes a notify_human tool with a markdown-capable message and an optional channel tag, keeping the send key out of the model's context.

Enables AI chat sessions to exchange messages and structured data with each other, preserving provenance and conversation threads, so work in one chat can be reused in another without manual copying.

Lets an AI agent ask its owner first, on their phone, before doing something irreversible: ask_approval blocks until a person answers and distinguishes DENIED from NO ANSWER, so a timeout is never read as consent. send_notification covers one-way alerts with priorities and quiet hours.