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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

工具列表暂未提供

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

1

How many integrations are available?

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

2

What authentication methods are supported?

The integrations come with built-in OAuth support.

3

Can I host this server myself?

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

4

What SDKs are available?

Both Python and TypeScript SDKs are provided for programmatic access.

5

Is there a cloud-hosted option?

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

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