Klavis AI MCP Server

@alexgolemelectrico

代码仓库

基本信息

分类

沟通协作

许可证

MIT license

传输方式

stdio

作者

alexgolemelectrico

关于 Klavis AI MCP Server

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

#slack #open-source #ai #discord #mcp#emotion#design-system#styled-system#framer-motion#llm #mcp-server #mcp-client

Klavis AI MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Klavis AI MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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