MCP.so
Sign In

Production-ready MCP integrations for AI applications

@Klavis-AI

About Production-ready MCP integrations for AI applications

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

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

FAQ from Production-ready MCP integrations for AI applications

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.

Frequently asked questions

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.

Comments

Basic information

Category

Other

License

Apache-2.0

Transports

stdio

Author

Klavis-AI

More Other MCP servers