equity-figures-mcp
Related Servers
Alternatives to equity-figures-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to look up SEC company fundamentals point in time: what a company first reported, what was known on any given date, and which values were later restated, with the filing behind each value. Supports querying history over time, tracing every vintage of a period, and resolving measures such as revenue or EPS across the XBRL tags a company has used.2,023 npm1MIT

akyla-mcpofficial
AlicenseAqualityDmaintenanceProvides as-reported US equity fundamentals, live quotes, financial statements, valuation comps, and a screener from SEC filings, with per-cell filing provenance for citations.717 PyPIMIT- FlicenseAqualityDmaintenanceProvides access to SEC filings and detailed XBRL financial data for all publicly traded U.S. companies. It enables users to search for company info, retrieve historical metrics like revenue and assets, and compare financial performance across different industries.61-
- AlicenseNot gradedqualityCmaintenanceEnables querying dimensioned XBRL facts and tagged note text from SEC DERA Financial Statement and Notes datasets, including segment/geography breakdowns and footnote prose unavailable through companyfacts/frames. Supports per-company fact lookups, cross-company tag screens, note-text full-text search, and coverage checks.371 npmMIT
- FlicenseNot gradedqualityAmaintenanceEnables users to query company fundamentals, annual financial metrics, historical price data, news sentiment, officers, and SEC filings, with embedded UI resources plus elicitation and sampling support.-
- 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
TDQS
Scored across 4 tools
Each tool serves a clearly distinct purpose: list_companies for discovery, list_metrics for series enumeration, get_series for raw data retrieval, and check_condition for computed evaluations. The descriptions clarify that get_series returns one series while check_condition evaluates measures and conditions, so overlap is minimal.
All tool names follow a consistent snake_case verb_noun pattern: list_companies, list_metrics, get_series, check_condition. The convention is predictable and easy to parse.
With only 4 tools, the set is well-scoped for a read-only equity data server. Each tool earns its place by covering a distinct phase of the workflow: discovery, enumeration, retrieval, and conditional analysis.
The surface fully covers the domain: list_companies provides company metadata, list_metrics enumerates available series, get_series retrieves detailed point data, and check_condition supports derived measures and condition testing. No critical gaps for typical equity figure analysis.