edgar-mcp
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Alternatives to edgar-mcp
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Related Servers
- 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
- AlicenseNot gradedqualityDmaintenanceEnables LLMs to access SEC EDGAR data: search filings, extract sections, pull structured financials, and track insider transactions.13 npmMIT
- 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 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
- AlicenseAqualityBmaintenanceEnables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.6MIT
- AlicenseNot gradedqualityCmaintenanceEnables searching SEC EDGAR for companies, retrieving recent filings (e.g., 10-K, 10-Q), and accessing structured XBRL financial facts.168 npmMIT
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose with no ambiguity: get_filings retrieves metadata, get_filing_sections parses qualitative content, get_financials extracts structured financial data, get_metric fetches specific metrics, list_metrics enumerates available metrics, and search_metrics enables natural-language discovery. The boundaries are well-defined and complementary.
All tool names follow a consistent verb_noun pattern with snake_case throughout (e.g., get_filings, get_filing_sections, get_financials, get_metric, list_metrics, search_metrics). The naming is predictable and enhances readability across the set.
With 6 tools, the count is well-scoped for the SEC filing analysis domain. Each tool earns its place by covering distinct aspects like metadata retrieval, content parsing, data extraction, and metric access, without being overly sparse or bloated.
The tool set provides comprehensive coverage for analyzing SEC filings, including metadata, qualitative sections, financial data, and metrics. A minor gap exists in lacking explicit update or delete operations, but this is reasonable for a read-only data retrieval server focused on financial analysis workflows.