"How to read and respond to messages on Slack" matching MCP servers:

MCP server that gives AI agents access to your Slack workspaces using session tokens.

The most powerful MCP server for Slack Workspaces. This integration supports both Stdio and SSE transports, proxy settings and does not require any permissions or bots being created or approved by Workspace admins 😏.

Enables searching and retrieving information from Slack messages, threads, files, canvases, and user profiles using a User Token, with advanced filtering capabilities.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

Enables Claude to interact with WhatsApp: read chats, search messages, send messages with a mandatory confirmation step, and transcribe voice notes locally, all with encrypted storage and prompt-injection scrubbing.

Enables AI agents to read and edit entity-relationship diagrams and SQL database schemas on the liz-whiteboard collaborative whiteboard through natural language, supporting table, column, and relationship management.

Enables Claude to read and send WhatsApp messages, including media and call history, via a local bridge.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

Enables interaction with Trello boards, lists, and cards through MCP-compatible clients, allowing read and update operations on allowlisted boards.

Enables LLMs to read, write, browse, search, and subscribe to live data on OPC-UA industrial automation servers, with caching, discovery index, and support for stdio or HTTP transports.

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

Enables AI agents to interact with WhatsApp through a safety-first MCP server, with tools for sending messages, media, searching chats, and managing drafts, all governed by default-deny allowlists and non-overridable rate limits.

Serves a strictly read-only mail archive over MCP: ordered filter rules pull matching messages from any IMAP mailbox or the Gmail API and write them to disk as byte-faithful .eml plus markdown with YAML frontmatter. Exposes list_rules, list_messages, search_messages, read_message (with full-thread reads) and sync; it never sends, deletes or modifies mail.

Telegram API integration for accessing user data, managing dialogs (chats, channels, groups), retrieving messages, and handling read status.

Read-only health and storage diagnostics for an enrolled CMDOP machine fleet.

Give hands to AI. MCP server to run shell commands securely, auditably, and on demand.

A comprehensive personal AI toolserver that exposes 105 tools across 25 groups—including Slack, Docker, and calendar management—to Claude and VS Code. It features a Go-based MCP server integrated with a custom VS Code extension and n8n workflow automation for streamlined personal productivity.

MCP server enabling AI agents to coordinate on a shared board: they can declare work, exchange typed messages, transfer files, and hold advisory claims, preventing duplicate effort across agents.

Enables MCP clients to read, search, and send WhatsApp messages with a server-enforced send gate for safety.