Klavis AI offers a variety of deployment options for users of all skill levels:
- Docker deployment (recommended): First make sure Docker is installed, then run the
docker build -t resend-mcp -f mcp_servers/resend/DockerfileBuild the image and finally rundocker run -p 5000:5000 resend-mcpLaunch Container - local deployment: You can choose Node.js or Python environment, you need to install the corresponding runtime (Node.js 18.0.0+ or Python 3.12+), enter the target server directory to execute the
npm installmaybepip install -r requirements.txtInstallation of dependencies - Environment Configuration: need to be in the
.envfile to set the necessary environment variables such as the API key.
After deployment is complete, the server runs by default on thehttp://localhost:5000. Developers are advised to refer to the official documentation for specific configurations.
This answer comes from the articleKlavis AI: Model Context Protocol (MCP) Integration Tool for AI ApplicationsThe
May not be reproduced without permission:AI productivity tools " How to deploy Klavis AI's MCP server?
