edgar-mcp
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- AlicenseAqualityBmaintenanceProvides access to SEC EDGAR financial data, enabling AI agents to fetch company filings, financial metrics, and narrative sections. It supports natural-language metric searching and extracts structured data from 10-K, 10-Q, and 8-K reports.652 PyPIMIT
- AlicenseBqualityCmaintenanceEnables asking questions about US public companies' SEC filings, returning exact XBRL figures with their tags and accession numbers alongside narrative answers cited to specific filing sections with sec.gov links. Its tools let clients search companies, pull metrics and multi-year financials, compare firms, and index or check ingestion status of filings, with retrieval scoped per company.7MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to research US public company filings, financials, and insider transactions using SEC EDGAR data, with no API keys required. Provides tools for company lookup, recent filings, full-text search, financial facts, and insider activity.MIT
- AlicenseNot gradedqualityCmaintenanceEnables agents to pull US stock financials, SEC filing timelines, ticker comparisons, screens, and fund profiles, with every value returned alongside the URL of the filing it came from. Answers are strictly filing-grounded and gaps come back as missing rather than estimated.66 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables querying of SEC EDGAR filings and financial data via natural language, offering tools for company lookup, filing retrieval, XBRL data, and full-text search.88 npmMIT
- AlicenseAqualityCmaintenanceEnables AI agents to query free public market data through 21 tools spanning 29 datasets sourced from SEC EDGAR/XBRL, FINRA, CFTC, the Federal Reserve, USAspending and exchange APIs. Covers short interest, insider and fund holdings, company financials, macro and policy rates, funding rates, crypto market metrics, IPOs and federal contracts, with no API key required to start.22355 npmApache 2.0
TDQS
Scored across 6 tools
Each tool owns a clearly distinct job: resolving entities, listing filings, pulling a single financial time series, extracting a filing section, searching full text, and comparing companies. The only adjacent pair is compare_companies and get_financial_concept, but the former is explicitly a multi-company alignment tool while the latter is a single-company series, and both descriptions make the boundary clear.
All six tool names follow the same verb_noun snake_case pattern: resolve_company, list_filings, get_financial_concept, get_filing_section, search_full_text, compare_companies. There is no mixing of camelCase, inconsistent verb forms, or vague tool names.
Six tools is right-sized for an EDGAR client, with each tool mapping to a distinct step in the workflow: resolve, browse filings, read numbers, read prose, search, and compare. None feels redundant, and the set is neither too thin nor bloated.
The set covers the core EDGAR workflow well, including entity resolution, filing discovery, XBRL figures, narrative sections, and cross-filing search. Minor gaps remain—there is no tool for fetching an entire raw filing body, and get_financial_concept supports a fixed concept list rather than arbitrary XBRL tags—but these are workaroundable through document URLs and the available extraction tools.