MCP Integration
Deploy and manage Functions directly from AI assistants using the Model Context Protocol. No context switching required.
What is MCP?
The Model Context Protocol (MCP) is an open standard that enables AI assistants to interact with external tools and services.
With RocketStack's MCP server, you can deploy, manage, and invoke Functions directly from Claude, Cursor, or any MCP-enabled client — just describe what you want, and the AI handles the rest.
Example: Ask Claude to "deploy my webhook handler" and it will bundle your code and deploy it to RocketStack automatically.
Quick Setup
Add to your MCP config
Add this to your Claude, Cursor, or other MCP client configuration:
{
"mcpServers": {
"rocketstack": {
"command": "npx",
"args": ["-y", "@rocketstack/mcp-server"],
"env": {
"ROCKETSTACK_API_KEY": "rs_live_xxxx"
}
}
}
}Start deploying
Restart your AI client and start asking it to deploy functions. That's it!
Example Prompts
Natural language prompts your AI will understand:
"Deploy my webhook handler to RocketStack"
Creates and deploys a function
"Show me all my deployed functions"
Lists functions with status
"Test my payment-processor with this payload"
Invokes and returns result
"Show recent logs for email-sender"
Fetches function logs
Available Tools
functions.deployDeploy a new function or update existing
functions.listList all deployed functions
functions.getGet details of a specific function
functions.invokeInvoke a function with a payload
functions.deleteDelete a deployed function
functions.logsFetch recent logs for a function