Production-ready MCP integrations for AI applications
About
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Details
- Transport
- SSE
- License
- MIT license
Explore
- 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
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 applicationsCommand (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
From the repository
pipx install strata-mcp
strata add --type stdio playwright npx @playwright/mcp@latest
```
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"
]
}
}Option 1: Cloud-hosted - klavis.ai
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