DeepSeek Harness Plugin

lory69060/cn-intel-mcp-dsh

Stars ★ 1 Downloads (30d) 603 Category Tools & Capabilities Added 2026-08-25 npm cn-intel-mcp-dsh

China hard-tech supply chain intelligence: 33-signal board, H1 earnings tracker, hit-rate track record and Q&A, via a remote MCP (mcp__cn_intel__*).

Install

# from npm (prebuilt)

dsh plugin --profile web add cn-intel-mcp-dsh

# from a prebuilt release tarball

dsh plugin --profile web add "https://github.com/lory69060/cn-intel-mcp-dsh/releases/download/v0.1.0/cn-intel-mcp-dsh-0.1.0.tgz"

# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)

dsh plugin --profile web add github:lory69060/cn-intel-mcp-dsh

Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time — pnpm blocks those until you allow them, so an install can stop with ERR_PNPM_GIT_DEP_PREPARE_NOT_ALLOWED or ERR_PNPM_IGNORED_BUILDS; dsh prints the exact key to add under allowBuilds in your profile’s pnpm-workspace.yaml, and the install works on the next run. Allowing a build is a trust decision: only install sources you trust, and pin a commit (github:owner/repo#sha).

README

China hard-tech supply chain intelligence plugin for DeepSeek Harness.

Connects DSH to the cn-intel MCP server (Streamable HTTP) and exposes 6 tools under mcp__cn_intel__*:

Tool What it gives the model
read_signal_board 33 structured information-gap signals (industry / predicted_on / verify_by / result)
read_earnings_tracker H1 2026 earnings forecast vs actual verification tracker
get_track_record Historical hit-rate statistics — the judgment layer, not raw data
ask_edge Natural-language Q&A over supply-chain information gaps
list_articles Research article index (China hard-tech supply chains)
read_article Full article text for citation-grounded analysis

Install

dsh plugin --profile web add cn-intel-mcp-dsh
# or from the Plugin Market: search "cn-intel"

Then set the token:

export CN_INTEL_MCP_TOKEN="<your-token>"

Trial token (shared, rate-limited to 200 req/day):

export CN_INTEL_MCP_TOKEN="cninte…ad3c"

Request a dedicated free token or Pro tier by opening an issue in this repo.

Verify

In the DSH tools panel you should see:

mcp__cn_intel__read_signal_board
mcp__cn_intel__read_earnings_tracker
mcp__cn_intel__get_track_record
mcp__cn_intel__ask_edge
mcp__cn_intel__list_articles
mcp__cn_intel__read_article

Example prompts

See examples/prompts.md for 5 ready-to-use prompts (compliance query, signal board, track record, earnings tracker, article reading).

How it works

The plugin is a thin dsh-mcp-client bridge to the remote cn-intel MCP endpoint (https://cn-intel-mcp.lory69060.workers.dev/mcp). Data lives on GitHub Pages (GEO-optimized); the Worker is stateless with 300s caching.

License

MIT

FAQ

Q: Do I need a DeepSeek API key for this plugin? A: Yes, DSH itself needs a model provider. The plugin only adds supply-chain data tools on top.

Q: Is the data free? A: The trial token gives 200 requests/day shared. Dedicated free tokens and a Pro tier are available on request via GitHub issues.

Q: What data sources back the signals? A: Public disclosures (earnings reports, exchange announcements) via akshare, cross-checked and timestamped. The track-record tool exposes historical hit rates so you can judge reliability yourself.

Q: Can I self-host? A: The data is public on GitHub Pages; the MCP endpoint is a thin proxy. See docs/architecture.md.

Content from the project README on GitHub ↗

Links

GitHub repository ↗ npm package ↗ Install via dsh-market ↗

More in this category

View the whole category →

Community comments

Comments are public GitHub Discussions. Loading them connects to GitHub and Giscus; a GitHub account is required to post.