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lory69060

cn-intel-mcp

cn-intel-mcp

China hard-tech supply-chain intel, as a Model Context Protocol (MCP) server.

cn-intel-mcp serves a pre-registered, timestamped signal board covering China's hard-tech supply chain — memory/semiconductors, solid-state batteries, eVTOL / low-altitude economy, and innovative drugs. Every signal carries a predicted_on date, a verify_by deadline, and a verify_event, then gets publicly marked hit / partial / miss / delayed when the date arrives. This is a verifiable track record (what the research actually foresaw), not a dump of raw news.

  • Remote endpoint: https://cn-intel-mcp.lory69060.workers.dev/mcp

  • Transport: Streamable HTTP + Bearer token

  • Runtime: Cloudflare Workers (stateless) + Workers KV for call stats/tokens

  • SDK: @modelcontextprotocol/sdk (TypeScript)

Why it's different

Most data MCPs expose raw facts. This one exposes the judgment layerwhat a public fact means, with a falsifiable, date-stamped prediction history. The track record (get_track_record) is the asset that accumulates over time and cannot be retroactively generated by an LLM.

Tools (6)

Tool

Description

read_signal_board

The signal board: high information-gap signals, each with predicted_on / verify_by / verify_event / result. Filter by industry, result, or limit.

read_earnings_tracker

Earnings verification tracker: companies the board predicted vs. their actual reported results vs. verification status.

get_track_record

The track record: hit-rate stats, verified vs. pending counts, per-signal outcomes from predicted_on to verify_by.

ask_edge

Q&A edge query: ask a natural-language industry question, get the most relevant signals + the reasoning behind them (judgment layer, not raw data).

list_articles

List deep-research articles on China hard-tech supply chain (title / topic / link).

read_article

Read a full research article (Chinese) by title, fuzzy-matched.

Signal industries

  • 存储/半导体 (memory & semiconductors)

  • 固态电池 (solid-state batteries)

  • 低空经济/eVTOL (low-altitude economy / eVTOL)

  • 创新药 (innovative drugs)

  • 消费/白酒 (consumer / baijiu)

Quick start (connect an MCP client)

The remote server requires a Bearer token. Point any Streamable-HTTP MCP client (Claude Desktop, Cursor, etc.) at the endpoint:

{
  "mcpServers": {
    "cn-intel": {
      "url": "https://cn-intel-mcp.lory69060.workers.dev/mcp",
      "headers": { "Authorization": "Bearer <YOUR_TOKEN>" }
    }
  }
}

No token → 401. Health check (no auth): /health.

Self-host on Cloudflare Workers

npm install
npm run dev        # local dev at :8787
npm run deploy     # deploy to your own Cloudflare account (wrangler deploy)

# Set / rotate the access token (stored as a Workers Secret, hashed in KV)
npx wrangler secret put MCP_ACCESS_TOKEN

# End-to-end MCP SDK client test (6 tools, track record, filters)
node mcp_sdk_test.mjs

Requires two Workers KV namespaces (MCP_STATS for call stats, MCP_TOKENS for hashed tokens) — see wrangler.jsonc. If MCP_ACCESS_TOKEN is unset, the server runs open (no auth), which is convenient for local testing.

Architecture

MCP client (Claude / Cursor / agents)
   │  Streamable HTTP + Bearer token
   ▼
Cloudflare Worker (stateless, @modelcontextprotocol/sdk, 300s Cache API)
   │
   ▼
Public data layer (JSON feeds: signal board, earnings tracker, articles)

The Worker is stateless: it serves cached JSON data from a public data layer. Tokens are SHA-256 hashed before storage and compared at request time — no plaintext secrets at rest.

License

MIT

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