Production-ready MCP integrations for AI applications

by Klavis-AI

5.8k stars

971 downloads

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About

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

Details

Author: Klavis-AI
GitHub stars: 5,765
Downloads: 971
Categories: Other, API, AI, Developer Tools, Communication

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Production-ready MCP integrations for AI applications

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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".

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

<div align="center"> <picture> <img src="./docs/images/logo/cover.png" width="100%"> </picture> </div> <div align="center"> [![Documentation](https://img.shields.io/badge/Documentation-📖-green)](https://www.klavis.ai/docs) [![Website](https://img.shields.io/badge/Website-🌐-purple)](https://www.klavis.ai) [![Discord](https://img.shields.io/badge/Discord-Join-7289DA?logo=discord&logoColor=white)](https://discord.gg/p7TuTEcssn) <a href="https://www.producthunt.com/products/strata-2?embed=true&utm_source=badge-top-post-badge&utm_medium=badge&utm_source=badge-strata-2" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=1016948&theme=light&period=daily&t=1758639605639" alt="Strata - One MCP server for AI agents to handle thousands of tools | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a> </div> ## 🎯 Choose Your Solution <div align="center"> <table> <tr> <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;"> <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;"> <div> <h2>Strata</h2> <p><strong>Intelligent connectors for your AI agent, optimize context window</strong></p> </div> <div> <a href="https://www.klavis.ai/docs/concepts/strata"> <img src="https://img.shields.io/badge/Explore-Strata-blue?style=for-the-badge&logo=data:image/svg+xml;base64,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" height="40"> </a> </div> </div> </td> <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;"> <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;"> <div> <h2>MCP Integrations</h2> <p><strong>100+ prebuilt integrations out-of-the-box, with OAuth support</strong></p> </div> <div> <a href="https://www.klavis.ai/docs/mcp-server/overview"> <img src="https://img.shields.io/badge/Explore-MCP%20Servers-purple?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTIwLjUgN0gzLjVDMi42NzE1NyA3IDIgNy42NzE1NyAyIDguNVYxNS41QzIgMTYuMzI4NCAyLjY3MTU3IDE3IDMuNSAxN0gyMC41QzIxLjMyODQgMTcgMjIgMTYuMzI4NCAyMiAxNS41VjguNUMyMiA3LjY3MTU3IDIxLjMyODQgNyAyMC41IDdaIiBzdHJva2U9IndoaXRlIiBzdHJva2Utd2lkdGg9IjIiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIgc3Ryb2tlLWxpbmVqb2luPSJyb3VuZCIvPgo8cGF0aCBkPSJNNiAxMkgxOCIgc3Ryb2tlPSJ3aGl0ZSIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiLz4KPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIxIiBmaWxsPSJ3aGl0ZSIvPgo8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIxIiBmaWxsPSJ3aGl0ZSIvPgo8L3N2Zz4=" height="40"> </a> </div> </div> </td> <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;"> <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;"> <div> <h2>MCP Sandbox</h2> <p><strong>scalable MCP environments for LLM training and RL</strong></p> </div> <div> <a href="https://www.klavis.ai/docs/concepts/sandbox"> <img src="https://img.shields.io/badge/Explore-Sandbox-orange?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQgNEgyMFY4TDE4IDEwTDIwIDE2VjIwSDRWMTZMNiAxMEw0IDhWNFoiIHN0cm9rZT0id2hpdGUiIHN0cm9rZS13aWR0aD0iMiIgc3Ryb2tlLWxpbmVjYXA9InJvdW5kIiBzdHJva2UtbGluZWpvaW49InJvdW5kIi8+CjxwYXRoIGQ9Ik00IDhIMjAiIHN0cm9rZT0id2hpdGUiIHN0cm9rZS13aWR0aD0iMiIvPgo8cGF0aCBkPSJNNCAxNkgyMCIgc3Ryb2tlPSJ3aGl0ZSIgc3Ryb2tlLXdpZHRoPSIyIi8+Cjwvc3ZnPg==" height="40"> </a> </div> </div> </td> </tr> </table> </div> ## Quick Start ### Option 1: Cloud-hosted - [klavis.ai](https://www.klavis.ai) [Quickstart guide →](https://www.klavis.ai/docs/quickstart) ### Option 2: Self-host ```bash # Run any MCP Integration docker pull ghcr.io/klavis-ai/github-mcp-server:latest docker run -p 5000:5000 ghcr.io/klavis-ai/github-mcp-server:latest # Install Open Source Strata locally pipx install strata-mcp strata add --type stdio playwright npx @playwright/mcp@latest ``` ### Option 3: SDK ```python # Python SDK from klavis import Klavis from klavis.types import McpServerName klavis = Klavis(api_key="your-key") # Create Strata instance strata = klavis_client.mcp_server.create_strata_server( user_id="user123", servers=[McpServerName.GMAIL, McpServerName.SLACK], ) # Or use individual MCP servers gmail = klavis.mcp_server.create_server_instance( server_name=McpServerName.GMAIL, user_id="user123", ) ``` ```typescript // TypeScript SDK import { KlavisClient, McpServerName } from 'klavis'; const klavis = new KlavisClient({ apiKey: 'your-api-key' }); // Create Strata instance const strata = await klavis.mcpServer.createStrataServer({ userId: "user123", servers: [Klavis.McpServerName.Gmail, Klavis.McpServerName.Slack], }); // Or use individual MCP servers const gmail = await klavis.mcpServer.createServerInstance({ serverName: McpServerName.GMAIL, userId: "user123" }); ``` ### Option 4: REST API ```bash # Create Strata server curl -X POST "https://api.klavis.ai/v1/mcp-server/strata" \ -H "Authorization: Bearer your-api-key" \ -H "Content-Type: application/json" \ -d '{ "user_id": "user123", "servers": ["GMAIL", "SLACK"] }' # Create individual MCP server curl -X POST "https://api.klavis.ai/v1/mcp-server/instance" \ -H "Authorization: Bearer your-api-key" \ -H "Content-Type: application/json" \ -d '{ "server_name": "GMAIL", "user_id": "user123" }' ``` ## Resources - 📖 [Documentation](https://www.klavis.ai/docs) - 💬 [Discord Community](https://discord.gg/p7TuTEcssn) - 🐛 [Report Issues](https://github.com/klavis-ai/klavis/issues) - 🌐 [Klavis AI Website](https://www.klavis.ai) --- <div align="center"> <p><strong>Made with ❤️ by the Klavis Team</strong></p> </div>

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

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