Production-ready MCP integrations for AI applications

@Klavis-AI

Basic information

About 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 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"
      ]
    }
  }
}

Production-ready MCP integrations for AI applications tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

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.

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