Lava MCP
News-flow heat data for China A-share stocks and concept sectors, via API, MCP and Agent Skill.
News-flow heat data for China A-share stocks and concept sectors via REST API, remote MCP server and Agent Skill, for quant research and AI agents.

Lava docs: REST API, MCP and Skill endpoints
Overview
What is Lava MCP?
News-flow heat data for China A-share stocks and concept sectors, via API, MCP and Agent Skill.
Lava is a structured, read-only data subscription that monitors news-flow heat for China A-share stocks and concept sectors.
Data
- Market-wide hot lists: hottest stocks, hottest concept sectors, weighted heat ranking, accelerating list
- First-mention stream: tickers mentioned for the first time after 7 quiet days
- Per-stock heat windows from 1 hour to 7 days, plus hourly heat
- Concept-sector heat
- Institution/KOL scoring with point-in-time history
- Daily history panel for backtesting
Access
REST API with OpenAPI spec, a remote MCP server (Streamable HTTP, 18 tools) and an Agent Skill. Works with Claude, Cursor and any MCP client.
Pay-as-you-go: 1,000 calls = 5 RMB; new accounts get a 100 RMB voucher.
Docs: https://lava.ai-dolphin.com/subscribe/docs MCP: https://lava.ai-dolphin.com/subscribe/v1/mcp GitHub: https://github.com/dustinliang666-blip/lava-mcp
Platforms and languages
Lava MCP Availability
Platforms
Languages
Capabilities
Lava MCP Key Features
Market-wide hot lists
Hottest stocks, hottest concept sectors, weighted heat ranking and an accelerating list across China A-shares.
First-mention stream
Tickers mentioned for the first time after 7 quiet days, to spot newly emerging names.
Per-stock and concept heat
Per-stock heat windows from 1 hour to 7 days plus hourly heat, and concept-sector heat.
Backtest-ready history
Institution/KOL scoring with point-in-time history and a daily history panel for backtesting.
Plans and access
Lava MCP Pricing
Freemium
Pay-as-you-go: 1,000 API calls = 5 RMB. New accounts get a 100 RMB voucher.
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