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

Enables AI assistants to request information and clarification from humans via Slack, supporting multiple roles and transport modes.

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

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

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

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

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.

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

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

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

Enables comprehensive Slack workspace automation and management through the Slack API. Supports messaging, channel management, analytics, file uploads, polls, user management, and advanced features like scheduled messages and bulk operations.

MCP server that exposes Slack Web API operations as tools, enabling users to list conversations, read history, post messages, and call any Slack Web API method.

MCP server for Slack that enables AI agents to interact with Slack workspaces, including listing channels, reading and posting messages, searching, managing users, reactions, and user groups.

Read and respond to Slack from Claude.

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.

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

Enables AI assistants to interact with Slack workspaces through comprehensive channel management, messaging, direct messages, search functionality, and user management capabilities.

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.