"Useful tools and features available on Slack" matching MCP servers:

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

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

Enables posting messages to a Slack channel using a bot token, with support for stdio and HTTP modes.

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

An MCP server that provides comprehensive access to the Slack Web API, enabling AI agents to search messages, manage channels, and create canvases. It features 13 core tools and over 300 dynamic methods for complete automation of Slack workspace operations.

Integrates Slack channels and Slack Lists to automate bug report scanning and QA status management. It enables users to retrieve bug details, update list items, and post fix updates directly within Slack.

A connector enabling Claude Desktop or any MCP client to interact with Slack workspaces to post messages and query user lists.

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 😏.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

Enables structured team communication for Claude Code agents through Slack-like channels and direct messages. Supports project isolation, subscription management, and agent notes for sophisticated multi-agent collaboration workflows.

List of small useful mcp servers including: * docx\_replace: replace tag in word document * yt-dlp: extract chaper and subtitles base on chapter * mermaid: generate and render image using mermaidchart.com API

Enables assistants to publish readable replies and status updates to e-ink displays and Home Assistant, with switchable characters and state retrieval through MCP tools.

Slack Agent Mesh is an open-source MCP server that turns a single Slack app into a mesh of virtual agent identities, providing a transport and coordination layer where agents can be addressed by name and collaborate through durable, human-visible Slack threads.

Enables AI agents to interact with Slack using human-readable names and time windows instead of IDs, with confirm-before-send safety modes for Antigravity and Gemini CLI.

Enables interaction with Slack workspaces as a user, supporting channel listing, message posting, threading, reactions, and user management via the Slack API.

Enterprise-grade Slack integration with compliance audit trails for AI agents. Every action is logged locally for governance, regulatory compliance, and security review.

Provides deterministic tools for transforming, formatting, and inspecting structured data for AI agents.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Enables AI agents to perform common utility tasks through a streamable HTTP MCP endpoint, including JSON inspection, regex testing, cron parsing, hashing, base64 encoding/decoding, URL analysis, color conversion, text diffing, CSV parsing, JWT decode/verification, Markdown-to-HTML rendering, and UUID/token generation without API keys.