
I Added Image Generation to My Claude MCP Agent in 10 Minutes
MCP (Model Context Protocol) is having a moment. Since Anthropic donated the protocol to the Linux Foundation in December 2025, adoption has exploded. But here is the thing most MCP tutorials miss: managing agents is only half the equation. The other half is giving those agents real generative AI superpowers. That is where NexaAPI comes in. What You Need Claude Code (or any MCP-compatible client) Python 3.9+ or Node.js 18+ A free NexaAPI account (sign up on RapidAPI: https://rapidapi.com/user/nexaquency ) Step 1: Install the SDK pip install nexaapi Step 2: Image Generation in Your Agent from nexaapi import NexaAPI client = NexaAPI ( api_key = " YOUR_API_KEY " ) def generate_image ( prompt : str ) -> str : result = client . image . generate ( model = " flux-schnell " , prompt = prompt , width = 1024 , height = 1024 ) return result . url url = generate_image ( " A robot reading code in a neon-lit server room, cyberpunk style " ) print ( f " Generated: { url } " ) Step 3: Add Video Genera
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