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Klavis AI 🌟

@alexgolemelectrico

About Klavis AI 🌟

Klavis AI (YC X25): Open Source, easy to use MCPs on Slack, Discord and Web

Basic information

Category

Communication

License

MIT license

Runtime

node

Transports

stdio

Publisher

alexgolemelectrico

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

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Overview

What is Klavis AI?

Klavis AI is an open-source project that provides easy-to-use Multi-Channel Protocols (MCPs) for Slack, Discord, and the Web. It empowers developers and communities to integrate AI seamlessly into their communication platforms.

How to use Klavis AI?

Clone the repository, run npm install, then npm start. Create a configuration file with a token and channel ID, then send messages via a POST to /send or retrieve history via GET /history.

Key features of Klavis AI

  • Open source and customizable
  • Multi-channel support (Slack, Discord, Web)
  • User-friendly for novice and experienced developers
  • Community-driven development and contributions
  • MIT licensed

Use cases of Klavis AI

  • Deploying AI chatbots across Slack workspaces
  • Automating Discord server notifications and interactions
  • Building web-based AI assistants with minimal setup
  • Prototyping multi-platform communication agents

FAQ from Klavis AI

What dependencies does Klavis AI require?

Node.js version 14 or higher and NPM are required. You also need a Slack or Discord account for testing.

Which platforms does Klavis AI support?

It supports Slack, Discord, and the Web via its Multi-Channel Protocol (MCP) interfaces.

How do I configure Klavis AI for my communication platform?

Create a JSON configuration file with a token (your Slack or Discord token) and a channel ID. Place it in the root directory before running the app.

What license is Klavis AI released under?

It is licensed under the MIT License. See the LICENSE file for details.

How can I contribute to Klavis AI?

Fork the repository, create a feature branch, make changes, commit, push, and open a pull request. Refer to CONTRIBUTING.md for more details.

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