Production-ready MCP integrations for AI applications

Name: Production-ready MCP integrations for AI applications
Author: Klavis-AI

@Klavis-AI

代码仓库主页

关于 Production-ready MCP integrations for AI applications

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

#api #open-source #oauth2 #ai #integration #discord #mcp #developer-tools #agents #ai-agents #llm #function-calling #mcp-server #mcp-client

基本信息

分类

其他

许可证

Apache-2.0

运行时

python

传输方式

stdio

发布者

Klavis-AI

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "klavis": {
      "command": "docker",
      "args": [
        "pull",
        "ghcr.io/klavis-ai/github-mcp-server:latest"
      ]
    }
  }
}

工具

未检测到工具

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 Production-ready MCP integrations for AI applications?

Production-ready MCP integrations for AI applications is an open-source server offering from Klavis that provides over 100 prebuilt integrations for AI agents, with built-in OAuth support. It allows developers to connect AI applications to tools like Gmail and Slack via the Model Context Protocol, either through a cloud-hosted service, self-hosted Docker containers, or programmatic SDKs.

How to use Production-ready MCP integrations for AI applications?

Use it via a cloud-hosted service at klavis.ai, or self-host by pulling Docker images like ghcr.io/klavis-ai/github-mcp-server:latest. Alternatively, integrate using the Python SDK (pip install klavis) or TypeScript SDK, or via the REST API with commands like curl -X POST "https://api.klavis.ai/v1/mcp-server/instance".