edgar-search-mcp
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Alternatives to edgar-search-mcp
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Related Servers
- 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.645 PyPIMIT
- AlicenseAqualityBmaintenanceEnables 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.51MIT
- 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
- AlicenseAqualityBmaintenanceProvides 22 read-only tools that let AI assistants pull and read SEC EDGAR data straight from official sec.gov APIs: 10-K, 10-Q, 8-K, 20-F and proxy filings, paged or phrase-searched filing text, XBRL facts and cross-company rankings, insider trades, 13D/13G ownership and 13F portfolios. Also enables full-text search across every EDGAR filing since 2001, so users can answer company financial questions in natural language without an API key.2267 PyPIMIT
- AlicenseNot gradedqualityCmaintenanceEnables querying of SEC EDGAR filings and financial data via natural language, offering tools for company lookup, filing retrieval, XBRL data, and full-text search.154 npmMIT
- FlicenseNot gradedqualityDmaintenanceProvides AI assistants direct access to SEC EDGAR filing data — financials, filings, and filing text — with no API key required.-
TDQS
Scored across 11 tools
Most tools have clearly distinct purposes: company lookup, submissions, facts, frames, filing listing, document retrieval, XBRL parsing, text extraction, and full-text search are separable. There is some overlap between get_companyfacts (which can filter by concept) and get_companyconcept, and between raw document retrieval and text extraction, though the descriptions make the distinctions mostly usable.
All tools use snake_case and follow a predictable verb_noun pattern: lookup_company, get_submissions, get_companyfacts, list_filings, search_filings, and so on. The verbs are natural and consistent enough for an agent to infer behavior from names.
Eleven tools is well within a reasonable range for an SEC EDGAR access server. Each tool maps to a meaningful read-only capability, and there are no obviously redundant filler tools.
The surface covers company lookup, submissions, facts, concepts, frames, filing lists, filing documents, XBRL, text extraction, and full-text filing search, which is broad coverage for the domain. Minor gaps include limited company discovery beyond exact CIK/ticker/title matching and no obvious cross-company filing browse operation outside search.