FinnewsHunter vs thunderbit-mcp-server
FinnewsHunter: FinnewsHunter is an enterprise-grade financial news analysis system built on the AgenticX framework, leveraging multi-agent teams to monitor real-time financial news. It uses large language models for deep interpretation and market impact assessment, generating decision-level alpha signals for quantitative trading.; thunderbit-mcp-server: Thunderbit MCP Server is an open-source toolkit for the Thunderbit Open API that ships three packages: a CLI for scripted extraction, an MCP server exposing seven scraping and distillation tools, and a Claude Code plugin. It converts any web page to clean LLM-ready Markdown, extracts structured data via JSON Schema, and supports batch processing — all backed by a free API key.
TL;DR
- You research the Chinese A-share market and want real-time news from sources such as Sina Finance analysed by agent teams.
- You want news sentiment combined with akshare market data and K-line charts.
- You want to switch between Bailian, OpenAI, DeepSeek, Kimi and Zhipu from the front end.
- You trade markets other than A-shares, or need English news sources.
- You cannot run PostgreSQL, Milvus, Redis and Celery workers.
- You want trade execution: it produces research, not orders.
Feeding clean web content into LLM pipelines for RAG or summarization
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