SEC EDGAR MCP Server
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- 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 querying of SEC EDGAR filings and financial data via natural language, offering tools for company lookup, filing retrieval, XBRL data, and full-text search.96 npmMIT
- AlicenseBqualityDmaintenanceEnables comprehensive access to SEC EDGAR filings, allowing users to search companies, retrieve financial statements, and analyze dimensional XBRL data including revenue breakdowns by geography, business segments, and product lines.13MIT
- -licenseNot gradedqualityNot gradedmaintenanceEnables deep analysis of SEC EDGAR filings through universal company search, document content extraction, and advanced filing search capabilities. Provides AI-ready access to business descriptions, risk factors, financial statements, and full-text search across any public company's SEC documents.-
- AlicenseNot gradedqualityCmaintenanceEnables searching SEC EDGAR for companies, retrieving recent filings (e.g., 10-K, 10-Q), and accessing structured XBRL financial facts.168 npmMIT
- 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.6169 PyPIMIT
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose with no ambiguity: get_company_facts retrieves all financial facts, get_company_filings focuses on filing documents, get_financial_metric tracks a specific metric over time, get_industry_metric provides aggregated industry data, list_common_metrics lists available metrics, and search_companies finds company identifiers. The descriptions clearly differentiate these functions, preventing misselection.
All tool names follow a consistent verb_noun pattern using snake_case, such as get_company_facts, get_company_filings, get_financial_metric, get_industry_metric, list_common_metrics, and search_companies. This predictable naming convention enhances readability and usability across the tool set.
With 6 tools, the server is well-scoped for SEC EDGAR data access, covering key operations like retrieving company facts, filings, metrics, industry data, metric listings, and company searches. Each tool earns its place without being overwhelming or insufficient for the domain.
The tool set provides strong coverage for SEC EDGAR data retrieval, including company-specific and industry-level financial data, filings, and search capabilities. A minor gap exists in update or delete operations, but these are not typical for a read-only data source like SEC filings, so agents can work effectively with the provided tools.