Slack MCP Client in Go

Slack MCP Client in Go

By tuannvm GitHub

A Slack bot and MCP client acts as a bridge between Slack and Model Context Protocol (MCP) servers. Using Slack as the interface, it enables large language models (LLMs) to connect and interact with various MCP servers through standardized MCP tools.

slack mcp
Overview

What is Slack MCP Client?

Slack MCP Client is a Slack bot and Model Context Protocol (MCP) client that acts as a bridge between Slack and various MCP servers, enabling large language models (LLMs) to interact with these servers through a standardized interface.

How to use Slack MCP Client?

To use the Slack MCP Client, set up your environment variables with your Slack and OpenAI credentials, create a configuration file for MCP servers, and run the application. You can also deploy it using Docker or Kubernetes for more complex setups.

Key features of Slack MCP Client?

  • Multi-mode MCP client supporting real-time communication via Server-Sent Events (SSE) and HTTP transport.
  • Integration with Slack using Socket Mode for secure communication.
  • Dynamic registration and invocation of MCP tools.
  • Docker container support for easy deployment.

Use cases of Slack MCP Client?

  1. Connecting Slack to various MCP servers for enhanced communication.
  2. Utilizing LLMs to process and respond to user queries in Slack.
  3. Facilitating real-time interactions between users and MCP tools through Slack.

FAQ from Slack MCP Client?

  • Can I use Slack MCP Client with any MCP server?
    Yes, as long as the MCP server adheres to the Model Context Protocol standards.

  • Is there a specific setup required for Slack?
    Yes, you need to create a Slack app, enable Socket Mode, and configure the necessary permissions and tokens.

  • Is the Slack MCP Client open-source?
    Yes, it is available on GitHub under the MIT License.

Overview

What is Slack MCP Client?

Slack MCP Client is a Slack bot and Model Context Protocol (MCP) client that acts as a bridge between Slack and various MCP servers, enabling large language models (LLMs) to interact with these servers through a standardized interface.

How to use Slack MCP Client?

To use the Slack MCP Client, set up your environment variables with your Slack and OpenAI credentials, create a configuration file for MCP servers, and run the application. You can also deploy it using Docker or Kubernetes for more complex setups.

Key features of Slack MCP Client?

  • Multi-mode MCP client supporting real-time communication via Server-Sent Events (SSE) and HTTP transport.
  • Integration with Slack using Socket Mode for secure communication.
  • Dynamic registration and invocation of MCP tools.
  • Docker container support for easy deployment.

Use cases of Slack MCP Client?

  1. Connecting Slack to various MCP servers for enhanced communication.
  2. Utilizing LLMs to process and respond to user queries in Slack.
  3. Facilitating real-time interactions between users and MCP tools through Slack.

FAQ from Slack MCP Client?

  • Can I use Slack MCP Client with any MCP server?
    Yes, as long as the MCP server adheres to the Model Context Protocol standards.

  • Is there a specific setup required for Slack?
    Yes, you need to create a Slack app, enable Socket Mode, and configure the necessary permissions and tokens.

  • Is the Slack MCP Client open-source?
    Yes, it is available on GitHub under the MIT License.

No tools information available.
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