Skip to main content
Glama
LauraMattz

AI News Aggregator

by LauraMattz
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

AI News Aggregator

Agregador de notícias de IA, papers acadêmicos e repositórios trending de 10 fontes confiáveis.

API Status Python License

Quick Start

Usar API (sem instalação):

curl "https://mcp-ai-news.onrender.com/news?days=7&limit=5"

Instalar MCP para Claude Code:

git clone https://github.com/LauraMattz/mcp_ai_news.git && cd mcp_ai_news
pip install -r requirements.txt
# Recarregue Claude Code (Ctrl+Shift+P → Reload Window)

Related MCP server: mcp-techTrend

API Pública

Base: https://mcp-ai-news.onrender.com | Docs: Swagger UI

Endpoint

Descrição

/news?days=7&limit=10

Todas as notícias

/search?q=GPT

Busca por palavra-chave

/papers?days=7

Papers do ArXiv

/github?days=7

Repos trending

Fontes: OpenAI, Anthropic, Google AI, DeepMind, Hugging Face, MIT Tech Review, TechCrunch, The Verge, ArXiv (cs.AI/cs.LG/cs.CL/cs.CV/stat.ML), GitHub

Features: Cache 15 min • CORS habilitado • Gratuito • ~180+ itens agregados

Instalação

MCP Server (Claude Code)

O .mcp.json já está configurado na raiz do projeto. Após git clone e pip install, apenas recarregue Claude Code.

Para Claude Desktop: Adicione ao claude_desktop_config.json (Windows/Mac/Linux paths):

{
  "mcpServers": {
    "ai-news": {
      "command": "python",
      "args": ["/caminho/completo/para/server.py"]
    }
  }
}

REST API (Local)

python api.py
# Acesse: http://localhost:8000/docs

Uso

MCP (Claude Code/Desktop):

"Liste as últimas notícias de IA"
"Busque conteúdo sobre transformers"
"Mostre papers do ArXiv sobre computer vision"

API REST:

curl "https://mcp-ai-news.onrender.com/news?days=7&limit=20"
curl "https://mcp-ai-news.onrender.com/search?q=GPT&days=14"
curl "https://mcp-ai-news.onrender.com/papers?days=3&max_results=10"

Documentação completa: Swagger UI • ReDoc

Desenvolvimento

Adicionar fonte RSS:

# Em server.py e api.py
FONTES_RSS["nova_fonte"] = {
    "nome": "Nome", "url": "https://...", "ativa": True
}

Testar:

python server.py  # MCP Server
python api.py     # REST API → http://localhost:8000/docs
npx @modelcontextprotocol/inspector python server.py  # MCP Inspector

Estrutura:

├── server.py      # MCP Server (stdio)
├── api.py         # REST API (FastAPI)
├── .mcp.json      # Config Claude Code
└── render.yaml    # Deploy config

Licença

MIT License - Ver LICENSE

Desenvolvido por Laura Mattos • LinkedIn

Stack: MCP • FastAPI • ArXiv API

This server cannot be installed

A
license - permissive license
-
quality - not tested
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/LauraMattz/mcp_ai_news'

If you have feedback or need assistance with the MCP directory API, please join our Discord server