Lava MCP (熔岩)

Lava is a structured, read-only data subscription that tracks how hot individual China A-share stocks and concept sectors are in the news flow, based on commentary from institutions and market influencers. Each record gives the related concepts, tickers, a short summary of key points and an anonymous source ID, so quant traders and AI agents can spot rising themes early, rank sectors by attention, and feed the signal into screening, backtests or research workflows.

Connect in minutes: (1) subscribe and get an API key on the website; (2) call the REST API (OpenAPI spec provided) or add the MCP endpoint to Claude, Cursor, or any MCP client; (3) or install the ready-made Agent Skill. Typical uses: daily theme radar, sector heat ranking, stock attention alerts, and context for AI research assistants.

Endpoints: MCP https://lava.ai-dolphin.com/subscribe/v1/mcp ; OpenAPI https://lava.ai-dolphin.com/subscribe/v1/openapi.json ; Docs https://lava.ai-dolphin.com/subscribe/docs ; GitHub https://github.com/dustinliang666-blip/lava-mcp

中文简介：熔岩（Lava）是 A 股股票与概念板块的消息面热度监测数据订阅，提供概念、标的、要点摘要与匿名机构/大V ID，支持 REST API、MCP 与 Agent Skill 三种接入，适合量化研究与 AI Agent 调用。

What problem it solves

Spotting which A-share stocks and concept sectors are heating up in the news flow, in a structured form that quant tools and AI agents can consume.