Slack Local MCP is an MCP server that enables automated interactions with Slack workspaces using cookie-based authentication. Developed for developers and teams seeking local workflow automation, the tool allows Model Context Protocol clients like Claude Desktop to connect directly to Slack without requiring standard bot creation or administrator-level OAuth approvals. By relying on session cookies, users can operate through their existing account permissions to interact with messaging channels and automate repetitive communication tasks. The server handles requests locally, bridging LLM interfaces with Slack endpoints so users can query chat contexts and trigger workspace actions directly from their AI assistant. This lightweight setup is tailored for individuals and developers who want personal workspace automation, rapid prototyping, or private assistant capabilities where official Slack bot integration is restricted, unavailable, or overly complex to configure.
Category: Communication & Messaging
Tags: automation, chat, messaging, Slack
mcpServers object, specifying the local runtime command and environment variables as instructed in the repository documentation. 5. Save the configuration and restart your MCP client to verify the connection.Part of MCP Servers
Slack Local MCP is a lightweight Model Context Protocol server that facilitates Slack automation using cookie-based authentication. It allows MCP-compatible AI clients to interface directly with Slack using an existing user session rather than standard bot tokens.
Because specific build commands are maintained directly in the upstream source, you should clone the official repository at https://github.com/nqkdev/slack-local-mcp and follow the setup instructions in the README to configure your client settings.
It is designed to work with standard Model Context Protocol clients, including Claude Desktop, Cursor, and any custom MCP client capable of launching and managing local process-based servers.
Yes, Slack Local MCP is an open-source project hosted publicly on GitHub, allowing developers to inspect the source code, contribute improvements, and run the server locally.