The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the China PolicySignal listing page.
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:
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.
claude mcp add --transport http --scope user policy-signal https://policy-signal.onrender.com/mcpThen 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.
| Tool | What it does |
|---|---|
search / list_articles | Full-text search (synonym/OR sets, time-sorted) with metadata filters |
get_article / get_context | Retrieve a document / close-read a passage — the only source of verbatim quotes |
topic_timeline | Evidence timeline of how a topic's framing evolves year over year |
phrase_trend | Track a formulation's rise / fall / disappearance over time (tifa signal; zero-filled buckets so "no longer mentioned" is visible) |
recent_signals | Scan for recently rising or newly appearing formulations |
corpus_stats / update_corpus | Coverage & freshness / incremental refresh (refresh disabled on the public endpoint) |
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.
get_context / get_article, checked against the corpus.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.
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.
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.