"How to respond to tagged 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.

Enables agents to read and write Slack through an ordinary browser session cookie, covering channel and thread history, full-text search over a local archive, and approved posting. It also supports an "agent forum" channel where agents of different people hand off tasks to each other, each keeping its own login and archive.

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

A Zotero MCP server built for agent safety: a capability-tagged tool registry (every command carries operation/requires/destructive annotations), preview-first writes behind a mutation journal, and read-only defaults. Single Go binary with an MCPB one-click manifest for Claude Desktop.

Launch and manage durable AI agents on Omnara, the open-source, self-hostable alternative to Claude Managed Agents. Start agents on any model and machine, send messages, read event logs, answer approvals, and manage machines, models, secrets, and cron triggers.

Enables AI editors and agents to publish, search, subscribe to, and lint semantic messages across named namespaces, and to check broker connectivity and API key health.

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 reading, searching, and writing to Google Chat spaces, direct messages, and sidebar through MCP clients such as Claude Code and Claude Desktop.

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 analyzing sales and stock CSV files to identify what to reorder, how much to buy, when products will run out, and how much inventory is tied up in dead stock. Provides read-only inventory checks and CSV column inspection without uploading data.

Enables coding agents to coordinate in spaces through direct messages, topics, blackboards, and durable inboxes, exposing bus tools over MCP and RPC while pushing inbox updates over SSE.

Enables AI agents to search and read IMAP messages across accounts and create new messages, replies, or forwards as drafts, without sending, moving, or deleting mail.

Enables AI agents to request and exchange consent-gated, end-to-end encrypted messages after owner approval, with post-quantum handshakes, proof-of-work spam protection, and public ledger auditing.

Lets a sandboxed stdio MCP client reach a Streamable HTTP MCP server that stays private inside a tailnet, by embedding a Tailscale node that joins as a tagged device — no root, no tailscaled or TUN needed. The target server stays behind tailscale serve and is never exposed to the public internet.

Records how any command-line tool behaves (flags, stdin, outputs, exit codes, edge cases) as golden tests, then diffs a Rust or Go rewrite against the original to prove it behaves the same.

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 LLM clients to perform read-only scripture study with verbatim, provenance-tagged verse lookups and complete-or-fail concordance across Greek NT, Hebrew OT, and Septuagint editions.

Lets a human review what an AI agent is about to post to a chat tool (Slack first) before it is sent. Renders the draft, destination and warnings (@here/@channel, unresolved mentions, format issues) in a neutral local HTML preview; never sends anything.

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.

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

MCP server for a local-first messaging workspace that integrates Google Messages, WhatsApp, and Signal. It enables reading, sending, searching messages, and managing conversations through MCP tools.

Enables AI assistants to search PatchXNote records, inspect AI-generated results, create Markdown drafts, and send user-approved messages to webhooks while keeping server data read-only.

Enables AI assistants to read, send, and manage Instagram direct messages, including viewing conversations, sending DMs to users, reacting to messages, and searching for users by username.

A secure and pluggable MCP server to run terminal commands on your local machine or cloud server — remotely, safely, and with LLMs or agentic clients.

An MCP server providing web search, image search, and page scraping tools to LLMs without requiring API keys.

Records your terminal sessions per command (PTY + OSC 133) into local SQLite, so AI agents can search, retrieve, and diff what commands actually printed. Secret redaction is applied by default to everything served over MCP.