"How to execute custom code in a Linux Docker container" matching MCP servers:

Enables AI clients to read and search macOS Messages history through a read-only MCP interface.

Production MCP server for data annotation workflows, exposing six tools backed by AWS S3, DynamoDB, and Slack with JWT auth, rate limiting, and exponential-backoff retries.

Exposes a Telegram user account via MCP, enabling AI agents to send, read, and manage messages, chats, and media using full MTProto access through Telethon. It wraps Telethon behind a JSON HTTP API and MCP endpoint, allowing agents to interact with Telegram as the authenticated user.

Enables AI clients to interact with WhatsApp via MCP tools for searching contacts, sending/receiving messages, and managing chats, running in a Docker container with HTTP/SSE transport.

Custom MCP server for Gmail integration, enabling email listing, reading, searching, and sending via natural language.

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

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

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 interaction with Feishu (Lark) via MCP for sending messages, managing calendar events, searching documents, and reading/writing bitable records.

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.

Connects AI agents to anonymous strangers for asking and answering questions in character.

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

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

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

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

A focused remote MCP server that enables LLMs to search and execute Slack Web API operations with OAuth and write guardrails.

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

MCP server that connects Claude Code to Slack, allowing two-way communication via Slack Socket Mode without tunnels.

Integrates Claude Code with DingTalk (钉钉) robot notifications, allowing users to send task completion alerts and various message formats to DingTalk groups from Claude Code.

Enables sending properly rendered Markdown messages to Telegram and remotely resetting Claude Code's context, addressing gaps in Anthropic's official Telegram channel.