"Using Supabase in Flutter applications" matching MCP servers:

Enables natural language management of Gmail through MCP tools for searching, analyzing, summarizing, drafting, and sending emails, with AI reasoning and user confirmation for actions.

Enables AI agents to participate in meetings by pulling pending requests, reading context, and submitting answers through a Supabase-based MCP server.

Wraps Claude Code as a server using the Model Context Protocol (MCP), allowing teams to interact with Claude Code through a Slack bot interface.

Enables Claude to act as a personal assistant in Telegram by providing tools to read new messages, send replies, and manage tasks/reminders/notes in a Supabase-backed memory.

Enables ChatGPT instances to exchange messages asynchronously through a Supabase-backed queue, with tools for identity, live chat, and scheduled worker coordination.

Enables real-time communication between applications and AI models using the Model Context Protocol, supporting features like custom tools and multiple transport options for Next.js applications.

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 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 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.

Enables AI assistants to publish, edit, search, and manage messages in Telegram channels via a set of MCP tools.

A Python bridge for interacting with the macOS Messages app using MCP (Multiple Context Protocol). Simple install using uvx mac-messages-mcp

Let your AI agent call your phone and talk to you — MCP servers for live, interruptible voice calls + tiered alerts, using free self-hosted pieces (pjsua2 + whisper.cpp + Linphone). No paid telephony, no extra API key.

Enables AI assistants to work in Google Chat through natural language: find spaces and direct messages, read and send messages, manage threads, reactions, attachments, and memberships while acting as the signed-in user.

A minimal MCP server for sending Slack messages, supporting both bot and user tokens with concurrent safety and an AI bot signature in user-token mode.

Enables intelligent monitoring and management of Zoom rooms across multiple sites using smart location resolution and hierarchical discovery. It provides tools for checking room status, retrieving location hierarchies, and accessing detailed room configurations through the Zoom API.

Enables MCP clients to read, search, organise, and manage IMAP mailbox messages, including saving attachments and drafting replies, while treating mail content as untrusted and keeping write capabilities opt-in.

A Model Context Protocol server that enables LLMs to send, edit, and delete Discord messages using webhooks. It supports text content, rich embeds, and thread interactions with strict Zod-based parameter validation.

Enables AI coding agents in different harnesses, projects, or machines to share encrypted peer-to-peer rooms and exchange messages directly, without any central server or account.

Enables AI agents to manage SimRelay SIMs: list, lock, release, read SMS history, and stream incoming messages in real-time via WebSocket.

Email for AI agents. Send and receive as markdown with human oversight.