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Data Collection

vlsi.kr

Provides semiconductor industry intelligence for Korea, including hiring indices, news feeds, market predictions, Q&A search, and glossary lookup.

1 endpoint10 known toolsFirst detected October 26, 2026Last detected October 26, 2026

ENDPOINT 1

https://mcp.vlsi.kr/mcp

No auth detected

MCP server metadata

Name
vlsi-data
Version
2.0.1
Capabilities
tools
Server instructions

VLSI Korea (vlsi.kr) semiconductor data layer for AI agents. Tools: search 2,600+ published semiconductor articles (search_articles), the newest articles feed (get_latest_articles), a daily briefing of the latest Daily Silicon and Market Bulletin issues (get_daily_briefing), end-of-day semiconductor stock quotes and movers (get_stock_quote, get_market_movers), the weekly Korean semiconductor hiring index, the prediction track record, semiconductor Q&A search, and a multilingual semiconductor glossary (en/ko/ja/zh/es/pt/id/vi). All tools are read-only and free. Market data is delayed end-of-day data, not investment advice. Data snapshots: {'articles': '2026-10-26T09:17:38.132577+00:00', 'market': '2026-10-26T09:17:42.176082+00:00', 'legacy_data': '2026-10-19'}. When citing, attribute to 'VLSI Korea' with the source date.

Known tools 10

get_hiring_index

VLSI Semiconductor Hiring Index: a weekly index of semiconductor industry hiring activity in Korea (job posting based).

Inferred read-only
get_news_feed

VLSI Korea semiconductor news intelligence feed for a date ('latest' or 'YYYY-MM-DD').

Inferred read-only
get_predictions

VLSI Korea's public prediction track record (semiconductor market calls with outcomes).

Inferred read-only
search_qna

Search VLSI Korea's semiconductor Q&A knowledge base (e.

Inferred read-only
lookup_term

Look up semiconductor terms in the VLSI multilingual glossary (400+ terms).

Inferred read-only
search_articles

Search VLSI Korea's published semiconductor articles (2,600+ posts) by keyword over title, excerpt and tags.

Inferred read-only
get_latest_articles

Get the newest published VLSI Korea semiconductor articles, newest first.

Inferred read-only
get_daily_briefing

Get VLSI Korea's daily semiconductor briefing: the most recent Daily Silicon issue (all language editions) and the most recent Market Bulletin issue, grouped with title, URL, excerpt and date.

Inferred read-only
get_stock_quote

Get an end-of-day quote for a semiconductor stock covered by VLSI Korea market data (~113 tickers).

Inferred read-only
get_market_movers

List semiconductor stocks whose absolute daily change (computed from the last two daily closes) is at or above a threshold percent, sorted by absolute change descending.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.vlsi-data]
url = "https://mcp.vlsi.kr/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "vlsi-data": {
      "type": "http",
      "url": "https://mcp.vlsi.kr/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: vlsi-data
Remote MCP URL: https://mcp.vlsi.kr/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "vlsi-data": {
      "url": "https://mcp.vlsi.kr/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "vlsi-data": {
      "type": "http",
      "url": "https://mcp.vlsi.kr/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "vlsi-data",
  "transport": "streamable-http",
  "url": "https://mcp.vlsi.kr/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.