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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 related concepts, tickers, a short key-points summary 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. Access via REST API (OpenAPI), MCP endpoint or Agent Skill. Repo: https://github.com/dustinliang666-blip/lava-mcp Docs: https://lava.ai-dolphin.com/subscribe/docs 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，支持 REST API、MCP 与 Agent Skill 接入，适合量化研究与 AI Agent 调用。

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Install Lava MCP (熔岩) in your MCP client

Lava MCP (熔岩) is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

  1. Locate your client's MCP config file.
    • Cursor: ~/.cursor/mcp.json
    • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
    • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
    • VS Code: Settings → Extensions → MCP
    • Windsurf: Settings → MCP Servers
  2. Add Lava MCP (熔岩) to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
  3. Restart your client so it picks up the new server.
  4. Verify — ask the assistant to list available tools; Lava MCP (熔岩)'s tools should appear.
{
  "mcpServers": {
    "lava-mcp-----": {
      "command": "npx",
      "args": [
        "-y",
        "@lava-mcp-----/mcp-server"
      ],
      "note": "Replace with the actual package name from the server's documentation."
    }
  }
}

Install Lava MCP (熔岩) in Cursor

Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. Lava MCP (熔岩) will show up in the assistant's tool list on next launch.

Install Lava MCP (熔岩) in Claude Desktop (macOS)

Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). Lava MCP (熔岩) will show up in the assistant's tool list on next launch.

Install Lava MCP (熔岩) in Claude Desktop (Windows)

Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). Lava MCP (熔岩) will show up in the assistant's tool list on next launch.

Install Lava MCP (熔岩) in VS Code

Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. Lava MCP (熔岩) will show up in the assistant's tool list on next launch.

Transport

Lava MCP (熔岩) supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

streamable-http

More build.protocol_tooling.mcp MCP servers

Other Model Context Protocol servers in the same space as Lava MCP (熔岩). Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.