"A guide for replying to messages in Slack" 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.

MCP server for reading and responding to local macOS Messages from clients like Claude Desktop and Codex.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

MCP server that reads Slack through your own browser session, authenticating as you rather than a bot. Provides tools to search messages, retrieve channel/DM/thread history, resolve users, and post messages (write disabled by default).

Enables Claude on macOS to read, search, and send iMessage, SMS, and RCS messages, with tools for stats, chat history, attachments, and message composition.

Enables Slack integration with tools to list channels, read messages, and post messages using a bot token.

Multi-workspace Slack MCP server with draft+confirm safety, vault auto-export, and triple-mode auth.

Enables AI assistants to interact with Slack workspaces, providing tools for reading messages, posting content, managing channels, and more.

Provides LLMs full access to Slack: messages, channels, files, canvases, lists, search, reactions, and more via 220 tools and 36 API families.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Enables reading Slack channels, messages, and threads using the web interface via a persistent browser session, designed for guest users without API access. Does not send messages.

Enables bidirectional communication between MCP clients and Slack, allowing users to receive task notifications and respond to AI inquiries directly within Slack threads. It supports various urgency levels, message threading, and interactive question-and-answer workflows.

An MCP server for semantic search and retrieval of indexed Slack messages stored in Qdrant using Cohere reranking via AWS Bedrock. It enables users to search through Slack history, retrieve full message threads, and access channel or user statistics through natural language.

An MCP server that enables AI agents to send messages, payloads, and Markdown-formatted content to Slack via Incoming Webhooks.

Local MCP stdio bridge to Slack's hosted MCP server, enabling agents to use Slack tools (send messages, search, history, canvas, etc.) via local OAuth and token refresh.

Provides deterministic parental guidance for children with chronic kidney disease, including food safety checks, lab report interpretation, and nutrient-aware food substitutions based on authoritative guidelines and the Chinese Food Composition Table.

Provides secure, read-only access to Slack workspaces, letting MCP clients read channels, messages, users, and file metadata without write permissions.

An MCP server that transforms books into agent-callable skill packages, enabling AI agents to use books as guides for evidence, procedures, and tutoring.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Gives AI agents full Slack access via session tokens, requiring no app registration, admin approval, or OAuth.