Naver Finance Crawl MCP
Related Servers
Alternatives to Naver Finance Crawl MCP
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceProvides access to Korean stock market data, including stock listings, daily historical records, and 10-minute intraday candles via FinanceDataReader and Naver APIs. It enables users to search for stocks, retrieve detailed profiles, and calculate technical indicators locally.-
- AlicenseNot gradedqualityDmaintenanceProvides KOSPI/KOSDAQ stock data including ticker lookup, OHLCV, market capitalization, fundamentals, and trading volume by investor type.MIT
- AlicenseNot gradedqualityAmaintenanceKorean stocks (KOSPI/KOSDAQ/KONEX), no signup, no API key. 12 read-only tools, streamable-http. Post-filing price paths BY DART FILING TYPE (market-adjusted median h0/h1/h5, 95% CI) + per-event ledger with receipt times (HH:MM) that public APIs omit. Plus T+1 closes, preliminary earnings, daily close history. Registry: com.aikstockdata/mcp. Updated each trading day ~18:30 KST, not real-time.7MIT
- AlicenseAqualityBmaintenanceProvides AI with real-time stock data from Naver Securities and Yahoo Finance via 47 tools, enabling accurate analysis without API keys for Korean and US markets.721Academic Free v1.1
- FlicenseAqualityBmaintenanceEnables searching and analyzing Korean stocks using Richgo Finance data, including stock details, rankings, undervaluation, AI rankings, and curation screens.11-
- AlicenseAqualityDmaintenanceProvides Korean stock market data, including DART electronic disclosures and KRX trading information, enabling users to query company profiles, financial statements, and stock trade details via MCP clients.9MIT
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: crawl_stock_detail focuses on retrieving detailed information for a specific stock by its code, while crawl_top_stocks retrieves a list of top searched stocks. There is no overlap or ambiguity between these functions, making it easy for an agent to select the appropriate tool.
Both tool names follow a consistent verb_noun pattern with 'crawl_' as the prefix, followed by descriptive nouns (stock_detail and top_stocks). This uniformity enhances readability and predictability, adhering to a clear naming convention throughout the set.
With only 2 tools, the server feels thin for a finance crawling domain, as it lacks operations for broader data retrieval, such as market indices, sector analysis, or historical data. While the tools are well-defined, the limited count may restrict agent capabilities in handling more complex financial queries.
The tool set is significantly incomplete for a finance crawling server. It covers specific stock details and top searches but misses essential operations like crawling market summaries, financial news, historical price data, or sector performance. These gaps will likely cause agent failures when broader financial information is needed.