AI-Assisted Development with Context7

Why Context7

AI models are trained on a snapshot of the internet. When you ask them to write Wraps code, they might hallucinate APIs that don't exist or use outdated patterns. Context7 solves this by injecting the latest Wraps documentation directly into your AI's context window.

Available Libraries

Wraps publishes two libraries to Context7, covering the full platform:

Setup

Add the Context7 MCP server to your editor. This is a one-time setup — once configured, any prompt can pull Wraps docs on demand.

{  "mcpServers": {    "context7": {      "command": "npx",      "args": ["-y", "@upstash/context7-mcp@latest"]    }  }}

{  "mcpServers": {    "context7": {      "command": "npx",      "args": ["-y", "@upstash/context7-mcp@latest"]    }  }}

{  "mcpServers": {    "context7": {      "command": "npx",      "args": ["-y", "@upstash/context7-mcp@latest"]    }  }}

Using Context7 with Wraps

Once configured, mention “use context7” in your prompt and reference the Wraps library you need. Your AI assistant will automatically fetch the relevant docs before generating code.

Example Prompts

What You Get Back

Context7 returns real, working code from our docs. Here's what your AI will have access to:

import { WrapsEmail } from '@wraps.dev/email';const email = new WrapsEmail();const { messageId } = await email.send({  from: 'hello@yourapp.com',  to: 'user@example.com',  subject: 'Welcome!',  html: '<h1>Hello from Wraps!</h1>',});

import { WrapsSMS } from '@wraps.dev/sms';const sms = new WrapsSMS();await sms.send({  to: '+14155551234',  message: 'Your verification code is 123456',});

Library IDs

For advanced usage, you can reference libraries directly by their Context7 ID:

Tips

Next Steps