"Slack" matching MCP servers:

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.

MCP server for posting messages to Slack channels via webhooks or bot API. Supports configurable usernames, emojis, and both webhook and bot token authentication modes.

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.

Human-in-the-loop approval gate for MCP agents, classifying tool calls by risk and requiring Slack-based human approval for medium/high risk actions.

Listens for Slack @mentions and publishes them as real-time events to the KĀDI event bus, enabling event-driven architectures with low latency.

A Model Context Protocol server implementation that enables AI assistants to interact with Slack workspaces, allowing them to browse channels, send messages, reply to threads, add reactions, and retrieve user information.

Human-in-the-loop approval inbox for AI agents: an agent proposes an action (send email, post comment, run a command), a human approves, rejects, or edits it from a web, mobile, or Slack/Discord/Telegram inbox, and the agent only runs on approval. Full audit trail, self-hostable (MIT).

Enables AI coding agents to plan, policy-check, and cost-estimate Terraform changes while requiring human approval through Slack or CLI before any terraform apply can execute.

Recruits specialized AI agents into your existing chat sessions, letting you audition, hire, and @mention named teammates with persistent personas and memory across Claude Code, Codex, hermes-agent, and Slack.

A TypeScript MCP server that integrates Devin AI with Slack, allowing users to create Devin sessions, post tasks to Slack channels, and maintain thread context between Devin sessions and Slack threads.

Human-in-the-loop approval gateway for agent tool calls: agents request, policies decide, humans approve via Slack/Discord/web — with an OWASP-LLM-Top-10-tagged audit trail. Self-hostable.

A universal AI API orchestrator that connects to 17+ services (Stripe, Slack, GitHub, etc.) and enables natural language task execution, multi-step automation, and complex orchestration across them without coding.

Unified Model Context Protocol server that bundles Slack, GitHub, Jira, PostgreSQL, Redis, AWS, webhooks, and email into one lightweight Docker container, providing a single REST API and web dashboard for AI agent integration.

An MCP server that acts as a governance proxy for AI agents, evaluating each tool call against policies before execution, enabling secure and controlled access to systems like Slack, GitHub, and AWS without exposing credentials to the agent.

A production-ready Python library for building MCP servers with agent orchestration and domain-specific presets for platforms like GitHub, Slack, and Notion.

A persistent 24/7 background daemon that aggregates all downstream MCP servers into one unified connection and layers on a real-time notification gateway so AI agents can receive events from X/Twitter, Slack, Email, and webhooks.

Enables MCP-compatible assistants to securely access external systems like Slack through permission-scoped, idempotent tools with tenant isolation, delegated OAuth consent, and an immutable audit trail.

Enables AI agents to communicate with each other through Slack-like room-based channels with messaging, mentions, presence management, and long-polling for real-time collaboration.

Exposes 219+ tools for Slack, Gmail, Google Workspace, Jira, Confluence, CRM, and phone, enabling a multi-agent AI coworker with memory and proactive suggestions.

Self-hosted MCP gateway that connects Claude, ChatGPT, and other AI agents to 20+ enterprise tools (GitLab, Jira, Notion, Google Workspace, Slack, Grafana, …) with OAuth, audit logs, and zero data leaving your infrastructure