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

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

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

A Model Context Protocol server that exposes all Render API endpoints and higher-level tools for managing services, deployments, databases, and more on Render.

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

Interact with Slack Workspaces over the Slack API. Supports stdio and Streamable HTTP transport. Extended from Anthropic's archived server

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

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

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

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 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.

A read-only MCP server for Slack that reads messages from channels the bot is invited to, without storing data. It provides tools to fetch channel history, thread replies, and resolve user IDs, with access controlled solely by channel invitations.

A self-hosted, read-only Slack MCP server that runs locally and provides read-only access to Slack channels, messages, and users via the Slack Web API, with no third-party intermediary.

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.

Enables triggering Jenkins builds from IDEs with Slack notifications, requiring only a one-time login.

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

A server implementing Model Context Protocol that enables AI assistants to interact with Slack API through a standardized interface, providing tools for messaging, channel management, user information retrieval, and more.

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