I Extended the Trending mcp-brasil Project with AI Generation — Full Tutorial

pip install mcp-brasil

pip install nexaapi requests

from nexaapi import NexaAPI
import requests

client = NexaAPI(api_key='your_api_key_here')

# Fetch Brazilian states from IBGE
ibge_response = requests.get(
    'https://servicodados.ibge.gov.br/api/v1/localidades/estados'
)
states = ibge_response.json()
state_names = [s['nome'] for s in states[:5]]
print(f'Fetched {len(states)} Brazilian states from IBGE')

# Generate AI infographic with NexaAPI
prompt = f'Professional infographic map of Brazil highlighting states: {", ".join(state_names)}, modern data visualization, vibrant colors'

result = client.image.generate(
    model='flux-schnell',
    prompt=prompt,
    width=1024,
    height=768
)

print(f'AI infographic generated! Cost: ~$0.003')
print(f'Image URL: {result.image_url}')

from nexaapi import NexaAPI
import requests

client = NexaAPI(api_key='your_api_key_here')

# Fetch Selic rate from Banco Central
selic_response = requests.get(
    'https://api.bcb.gov.br/dados/serie/bcdata.sgs.11/dados/ultimos/1?formato=json'
)
selic_data = selic_response.json()
latest_selic = selic_data[0]['valor']
print(f'Current Selic rate: {latest_selic}%')

# Generate economic visualization
image_result = client.image.generate(
    model='flux-schnell',
    prompt=f'Bloomberg-style economic dashboard showing Brazil Selic rate at {latest_selic}%, dark theme, professional financial chart',
    width=1280,
    height=720
)

# Generate Portuguese TTS audio summary
audio_result = client.audio.tts(
    text=f'Taxa Selic atual: {latest_selic} por cento ao ano. Dados do Banco Central do Brasil.',
    voice='nova',
    language='pt-BR'
)

print(f'Chart: {image_result.image_url}')
print('Portuguese audio summary generated!')

from nexaapi import NexaAPI
import requests

client = NexaAPI(api_key='your_api_key_here')

# Generate environmental monitoring visualization
alert_result = client.image.generate(
    model='flux-schnell',
    prompt='Satellite view of Amazon rainforest with fire alert hotspots, environmental monitoring dashboard, Brazil, aerial photography',
    width=1024,
    height=768
)

print(f'Environmental alert: {alert_result.image_url}')
print('Cost: $0.003 — cheaper than any other AI API!')

// npm install nexaapi axios
import NexaAPI from 'nexaapi';
import axios from 'axios';

const client = new NexaAPI({ apiKey: 'your_api_key_here' });

async function brazilAIIntegration() {
  // Fetch cities from BrasilAPI
  const response = await axios.get('https://brasilapi.com.br/api/ibge/municipios/v1/SP');
  const cities = response.data.slice(0, 5).map(c => c.nome);

  // Generate AI visualization
  const imageResult = await client.image.generate({
    model: 'flux-schnell',
    prompt: `Beautiful aerial view of São Paulo cities: ${cities.join(', ')}, Brazil, photorealistic`,
    width: 1024,
    height: 768
  });

  console.log('Image URL:', imageResult.imageUrl);
  console.log('Cost: $0.003');

  // Generate Portuguese TTS
  const audioResult = await client.audio.tts({
    text: `Cidades de São Paulo: ${cities.join(', ')}. Explore o Brasil com inteligência artificial.`,
    voice: 'nova',
    language: 'pt-BR'
  });

  console.log('Portuguese audio:', audioResult.audioUrl);
}

brazilAIIntegration();