arelle-mcp
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AlicenseNot gradedqualityCmaintenanceStandardizes XBRL financial data from US SEC and European ESEF filings for LLM agents, enabling querying normalized financial facts like revenue and total assets across issuers and taxonomies.Apache 2.0- 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
- AlicenseNot gradedqualityCmaintenanceEnables searching SEC EDGAR for companies, retrieving recent filings (e.g., 10-K, 10-Q), and accessing structured XBRL financial facts.6 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables LLMs to access SEC EDGAR data: search filings, extract sections, pull structured financials, and track insider transactions.24 npmMIT
- 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.116 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.624 PyPIMIT
TDQS
Scored across 46 tools
Several tools have overlapping purposes (e.g., multiple fact extraction tools like xbrl_extract_facts, xbrl_fact_details, xbrl_company_facts), and the distinction between them may not be immediately clear to an agent. However, each tool has a specific use case described, reducing ambiguity somewhat.
All tools start with 'xbrl_' and use snake_case, providing a consistent prefix. However, the naming pattern mixes verb-first (e.g., xbrl_load_filing) and noun-first (e.g., xbrl_anomaly_detection) approaches, leading to minor inconsistency.
With 46 tools, the server is on the high end of tool counts. While the XBRL domain is complex and justifies many tools, there is some redundancy (e.g., multiple export formats) that could be consolidated.
The tool set covers a wide range of XBRL operations: loading, browsing, extraction, validation, comparison, and EDGAR-specific features. Minor gaps exist, such as no direct tool for modifying metadata, but overall the surface is comprehensive for its domain.