"A server for software engineers that integrates with Jira and Slack" matching MCP servers:

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

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.

Brings live project context into Slack via MCP, enabling developer teams to check service health, recall team decisions, search code, and query project context directly from chat.

Enables AI agents to interact with Slack through 20 specialized tools and resources for managing channels, messages, users, and files. It features built-in rate limit handling, safety controls for message sending, and full support for Slack Block Kit formatting.

Enables AI assistants to interact with Slack workspaces by listing channels, posting messages and thread replies, adding emoji reactions, retrieving channel history and thread replies, and inspecting user profiles. Supports both stdio and Streamable HTTP transports for flexible integration.

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 reading, searching, and downloading files across multiple Slack workspaces via per-workspace user tokens, plus drafting and confirmed sending of messages and attachments.

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.

MCP Server for the Slack API, enabling Claude to interact with Slack workspaces.

MCP server for sending messages to Slack channels and replying in threads, with automatic channel name resolution and support for Claude Desktop and KADI agents.

Integrates AI assistants with Slack workspaces using OAuth 2.0 authenticated user tokens for secure, multi-functional interaction. It enables comprehensive operations including channel management, message searching, file handling, and reaction management through natural language.

Enables Slack workspace integration including channel creation, user invites, message posting, and thread management through natural language.

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

MCP server for Slack workspace integration, exposing 40+ Slack operations as tools for Claude Desktop and providing a clean async Python API.

Enables an AI assistant to act as the user in Slack through a user OAuth token, covering messaging and threads, search, users, channels, user groups and reactions, plus scheduled messages, canvases and Slack Lists. It also supports flexible channel addressing by ID, #name or @user, and matches existing tool names and parameters for seamless integration with established prompts and permission rules.

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

Enables building AI-powered Slack apps using the Slack MCP server and OpenAI models for automated messaging and canvas creation.

Enables comprehensive interaction with Slack workspaces, allowing users to manage channels, send messages, and search history. It supports managing reminders, pins, reactions, and user information through the Model Context Protocol.

An AWS-native MCP server that posts to Slack (post_to_slack, post_file_to_slack) via an Amazon Bedrock AgentCore Gateway.

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.

Read-only MCP server for Slack with OAuth 2.1 authentication, enabling message retrieval, thread replies, search, user and channel listing.

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

Enables AI agents to analyze whether they should send an email, evaluating passive aggression and regret probability with a recommendation heavily weighted toward no.

A simple Model Context Protocol server for Slack integration that enables messaging, channel management, and workspace search capabilities.

Enables fuzzy searching and browsing of Slack messages, users, and channels via CLI or MCP server integration.

Enables AI agents to interact with Slack over stdio using the desktop app's own session, with tools for workspaces, conversations, history, search, sending messages, reactions, and an inbox of new messages.

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.

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

An MCP server that enables AI agents to search and retrieve messages within a Slack workspace using the Slack Web API. It supports specific channel filtering and includes built-in rate limit handling for efficient message discovery.