hub-equity-mcp
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Alternatives to hub-equity-mcp
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Related Servers
- AlicenseBqualityBmaintenanceEnables LLMs to process, validate, and analyze XBRL financial filings with tools for filing operations, fact extraction, taxonomy exploration, and SEC EDGAR integration.46Apache 2.0
- AlicenseAqualityAmaintenanceEnables LLM agents to retrieve normalized US-GAAP financial statements from SEC EDGAR—income statement, balance sheet, and cash flow—with point-in-time as-reported figures and per-value SEC source provenance for citation.6MIT
- 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
- 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.6106 PyPIMIT
- 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.17MIT
- AlicenseNot gradedqualityBmaintenanceEnables searching SEC EDGAR for companies, retrieving recent filings (e.g., 10-K, 10-Q), and accessing structured XBRL financial facts.42 npmMIT
TDQS
Scored across 21 tools
Most tools target clearly distinct resources/actions, and descriptions explicitly differentiate close pairs (get_amendments vs get_amendment_diff vs silent-restatement variants; compare_filings vs compare_entities). A few boundaries remain subtle — get_calculation_tree vs get_validation_results both touch reconciliation, and the four restatement tools require careful reading — but overlap is limited.
All names use snake_case consistently with clear verb_noun or verb forms (get_*, find_*, search_*, list_*, compare_*, screen_*). Minor deviation: roll_up_metric uses a non-get verb, and the amendment/silent-restatement names are long, but no style mixing occurs.
21 tools is on the heavier side but justified given the breadth of the domain (discovery, facts, decomposition, segments, restatements, validation, comparison, FX, screening). Each tool earns a distinct role rather than being redundant.
Covers the full lifecycle: entity discovery/profile, concept search and catalog, fact retrieval and roll-ups, time series, segment breakdowns, both filed and silent restatements, calculation trees, validation, data quality, cross-entity and cross-filing comparison, FX conversion, and screening. No obvious dead ends for the stated financial-data purpose.