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.
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 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.
A .NET-based Model Context Protocol server and Python client for interacting with the Slack Web API. It enables AI models to manage channels, send messages, retrieve chat history, and handle emoji reactions.
Enables AI assistants to create, read, update, delete, and manage Slack List items, providing full task management within Slack through natural language.
Provides complete Slack Web API integration with 9 tools for reading messages, managing channels, searching content, and interacting with Slack workspaces.