Lex Intel — Chinese AI Intelligence for AI Agents
MCP server that gives AI agents access to curated Chinese AI/tech intelligence. Daily signals from 11 Chinese-language sources (36Kr, Huxiu, CSDN, Caixin, Zhidx, and more), translated to English, scored by relevance, and served through semantic search.
When to Use This
- Your agent needs to answer "What's happening in Chinese AI?"
- You're researching Chinese tech companies, funding, regulation, or breakthroughs
- You want daily briefings on Chinese AI developments in Bloomberg-style format
- You need trend analysis: which categories of Chinese AI are rising or declining
Quick Start
pip install lex-intel
Add to your MCP client config:
{
"mcpServers": {
"lex-intel": {
"command": "lex-intel",
"env": {
"SUPABASE_URL": "your-url",
"SUPABASE_ANON_KEY": "your-key",
"PINECONE_API_KEY": "your-key"
}
}
}
}
Tools
| Tool | When To Call It |
|---|---|
lex_search_articles |
Search for articles about a topic, company, or technology in Chinese AI |
lex_get_briefing |
Get the latest daily Bloomberg-style briefing (LEAD/PATTERNS/SIGNALS/WATCHLIST/DATA) |
lex_get_signals |
Find high-relevance (4-5) developments from recent days, grouped by category |
lex_get_trending |
See which Chinese AI categories have rising or declining coverage momentum |
lex_list_sources |
Check which sources are active and their signal quality |
lex_get_article |
Get full article details (body text, URL) after finding it via search |
Data Sources
11 Chinese-language outlets scraped daily: 36Kr, Huxiu, InfoQ China, CSDN, SAP China, Kingdee, Yonyou, Leiphone, Caixin, Jiemian, Zhidx
Plus Gmail newsletters from Chinese tech sources.
Categories
Articles are classified into 13 categories:
funding, m_and_a, investment, product, regulation, breakthrough, research, open_source, partnership, adoption, personnel, market, other
Each article is scored 1-5 for relevance to enterprise AI/tech readers.
License
MIT
Metadata
Release files for lex-intel 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| lex_intel-0.1.0.tar.gz | 33.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lex_intel-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 59.9 kB
Release files / lex_intel-0.1.0.tar.gz
| Download URL | lex_intel-0.1.0.tar.gz |
|---|---|
| Size | 33.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
b604566430bac29f57b0e07e57629ebd979bdf9e3fbe8293b14264403cb644bb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
Release files / lex_intel-0.1.0-py3-none-any.whl
| Download URL | lex_intel-0.1.0-py3-none-any.whl |
|---|---|
| Size | 26.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0733a17b0e75e391fb0daab2a222f9f84ce6f59d878c4eaaf52fb7536ba4bcd5
|
|
BLAKE2b-256 checksum How to use checksums |
adee8ce2a515c89395fc3f6faa2aac000a219ed59e2be3b4a04b0095a80a0bdc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
Security for lex-intel 0.1.0
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