edgar-mcp
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Alternatives to 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.624 PyPIMIT
- 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 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.116 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables LLMs to download, parse, and analyze SEC EDGAR filings, including 10-K/Q reports, XBRL financial statements, and insider trading data. It provides structured access to institutional holdings, corporate events, and financial facts for comprehensive investment research.5MIT
- AlicenseAqualityBmaintenanceQuery SEC EDGAR for company filings, financial data, and executive disclosures. Search by company name or ticker, retrieve 10-K/10-Q/8-K filings, and extract structured financials — backed by the official SEC EDGAR API, built for AI agents.4MIT
- FlicenseNot gradedqualityFmaintenanceProvides financial data and market filings via Streamable HTTP tools. Enables AI agents to resolve equity entities, fetch SEC filings, compare institutional holders, and export finance receipts.-
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.