China PolicySignal

China PolicySignal

Search 14,966 Chinese government and Party documents from your AI assistant — Xi Jinping's speeches, articles, and official statements, 2012 to present, with verbatim source-linked citations.

Remote MCP server. Nothing to install, no API key — just a URL:

https://policy-signal.onrender.com/mcp

Listed in the official MCP Registry as io.github.acee-ventures/china-policy-signal.

中文说明见 README.zh.md · Full setup & tool reference: USER-GUIDE.md / 使用指南.md

What this is: a retrieval and discourse-analysis tool over publicly available official texts — it surfaces what was said, when, and how phrasing evolves, with verbatim, source-linked citations. What this is not: not a prediction service, not an endorsement, not a tool for profiling private individuals. Analytical outputs are labeled research inference, never fabricated quotes or claims of certainty. In the tradition of open China-studies tooling such as the China Media Project and CSIS Interpret: China.

Quick start

• Claude Code (fastest): claude mcp add --transport http --scope user policy-signal https://policy-signal.onrender.com/mcp
• Claude Desktop / ChatGPT / Cursor / VS Code / Cline / Windsurf: add a custom / remote MCP connector and paste the URL above (no authentication). Per-client steps in USER-GUIDE.md.

Then ask your assistant:

Find the source. "What has Xi said about AI governance? Quote the key passages with dates and source links."

Track a formulation. "Chart how often 新质生产力 (new quality productive forces) appears each year since 2012, and show me the document where it first emerged."

See framing evolve. "Build a timeline of how the framing around 共同富裕 (common prosperity) changed, citing one document per phase."

Each answer comes back with article IDs, publication dates, and links to the original — so every quote can be checked against the source.

Capabilities

Two guided prompts — scenario_research(topic) and event_prediction(event) — walk a client model through an evidence-first method: build a timeline → compare formulations → close-read turning points → layered high/medium/low-confidence inference with explicit falsification points.

Method & guardrails

• Every claim is anchored to a document (id + date + source URL). Verbatim quotes come only from get_context / get_article, checked against the corpus.
• Facts vs. inference are labeled separately. The analytical prompts forecast themes, framing, and formulation priorities — never a verbatim script, a specific dated event, or a probability of an act.
• Research framing. Outputs are documentary research over public statements, not prophecy.

Corpus & sources

Public official statements as published on open government sources; see SOURCES.md. The corpus stores document text and metadata for search and citation and is not offered as a bulk-download dataset; every result links back to its original publication. Usage limits and troubleshooting are in USER-GUIDE.md.

Disclaimer

Independent research infrastructure published by ACEE Ventures for educational and analytical use. It analyzes publicly available official statements and makes no claim to represent, predict, or endorse any person or government; it is not affiliated with or endorsed by any government or official body. Analytical outputs are research inference and should not be treated as factual predictions. See DISCLAIMER.md.

License

Code: MIT. Corpus text remains the property of its original publishers, used here for research and citation; this repository does not grant rights to redistribute source texts.

Maintained by ACEE Ventures.