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DimensionDartLabKorean DART + US SEC EDGAR filings as structured Python data for company analysis.Context7Upstash's official server providing up-to-date third-party library docs for AI coding assistants
FMRS58 / 100 · C80 / 100 · B
Reliability8 / 2014 / 20
Security and permissions12 / 2016 / 20
Maintenance14 / 2017 / 20
Documentation12 / 2015 / 20
Setup experience12 / 2018 / 20
Best for
  • Quantitative analysts and investors with deep research needs in the Korean stock market (KOSPI/KOSDAQ).
  • Developers needing structured financial data in Python environments.
  • Those who want to integrate financial analysis capabilities into AI assistants like Claude or Codex via MCP.
  • Developers using fast-moving frameworks/libraries worried about the AI suggesting stale code
  • Scenarios wanting zero-config documentation lookup
Not for
  • Those needing real-time stock price or high-frequency trading data (data is prebuilt, potentially with some latency).
  • Those focused only on US small-cap companies or deep EDGAR data (EDGAR support is limited).
  • Users seeking a lightweight, single-purpose data source (it's feature-rich but heavy).
  • Looking up internal/private codebase documentation (Context7 targets publicly published open-source libraries)
  • Cases needing very high coverage of obscure, niche libraries (coverage depends on what Context7's platform has indexed)
Required permissions
  • Network access to download prebuilt data from HuggingFace, and access to DART and SEC APIs (EDGAR).
  • Local file system permissions for caching data (default in user directory).
  • For MCP configuration, need to modify config files for Claude Desktop or CLI.
  • Optional: DART API key (for raw data re-collection, not needed for regular use).
  • Usable without an API key (subject to a free-tier rate limit); CONTEXT7_API_KEY is an optional credential for higher quota
  • Read-only documentation lookup — no code execution or local filesystem access involved
Risks and side effects
  • External disclosure content (e.g., news, filings) may be wrapped as untrusted when serialized, but AI should use it only as analysis basis, not execute any instructions within.
  • Prebuilt data may not be up-to-date; be aware of time lags.
  • When using remote MCP endpoint, ensure stable internet connection.
  • Installation issues could arise if Python path is not set properly, affecting MCP configuration.
  • The free tier has limited quota — high-frequency use may hit rate limits
  • Documentation content comes from Context7's platform index, so its accuracy and freshness depend on that platform's crawl cadence
Supported clientsClaude Desktop, Claude Code, Codex, CursorClaude Code, VS Code, Cursor, Cline, Amp
Tools222