Production-ready MCP integrations for AI applications

@Klavis-AI

代码仓库主页

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

Klavis-AI

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

Production-ready MCP integrations for AI applications 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"
      ]
    }
  }
}

Production-ready MCP integrations for AI applications 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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".

Key features of Production-ready MCP integrations for AI applications

100+ prebuilt integrations out-of-the-box
Built-in OAuth support for authentication
Available as cloud-hosted, self-hosted, or SDK
Python and TypeScript SDKs provided
Docker images for self-hosted deployments
REST API for server management

Use cases of Production-ready MCP integrations for AI applications

Connect AI agents to Gmail, Slack, and other services via MCP
Build production-ready AI applications with minimal setup
Use in LLM training and reinforcement learning environments
Deploy scalable MCP environments for AI workflows
Integrate tools into AI applications with OAuth handling

常见问题

How many integrations are available?

Over 100 prebuilt integrations are available out-of-the-box.

What authentication methods are supported?

The integrations come with built-in OAuth support.

Can I host this server myself?

Yes, you can self-host using Docker images from the GitHub Container Registry.

What SDKs are available?

Both Python and TypeScript SDKs are provided for programmatic access.

Is there a cloud-hosted option?

Yes, the service is available at klavis.ai for cloud-hosted usage.

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