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lkcair

sec-ai

by lkcair
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Python
Remote

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    • edgar-mcp

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    • edgar-mcp

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    • edgar-search-mcp

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      Gives an AI agent read-only access to SEC EDGAR for company lookup, reported financial statements, individual XBRL concepts, filing and exhibit lists, filing text, segment revenue, and full-text search. Every answer carries its source accession number, form, filing date, URL, hash and retrieval time, and it needs no API key.
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    • mcp-edgar

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      A
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    • EdgarTools MCP

      sareegpt
      A
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      quality
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      Enables 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.
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    TDQS

    A3.5/5.0

    Scored across 22 tools

    Disambiguation3/5

    Several tools overlap in retrieving filings and financial data: get_company_filings, search_filings, and full_text_search all return filings; get_filing_content, get_company_facts, get_company_concept, get_available_metrics and get_latest_10k/10q all expose XBRL/financial data. Descriptions provide detail, but an agent could easily misselect among these. Some distinctions are clear (e.g., ownership forms, IPO, admin), but the financial/filing cluster is crowded.

    Naming Consistency4/5

    Nearly all tools use snake_case and a get_* prefix for retrievals, with a few verb variations (analyze_8k_filing, download_filing_text, search_filings, full_text_search, run_self_test). The pattern is predictable overall, though full_text_search lacks an explicit verb and search_filings breaks the get_* convention. Minor deviations only.

    Tool Count3/5

    22 tools for a broad SEC data server is on the heavy side; several financial-data tools could potentially be consolidated (e.g., get_company_facts, get_company_concept, get_available_metrics, get_filing_content). Many tools cover distinct form types and data domains, but the count feels slightly over-scoped rather than lean.

    Completeness4/5

    The surface covers filings, financial metrics, ownership (13F, 13D/G, insider, proxy), IPOs, XBRL frames, and admin checks, which is comprehensive for SEC EDGAR data. Minor gaps exist (e.g., no explicit tool for comparing a company's metrics across periods beyond get_company_concept/get_filing_content's 5 values, and no section-level extraction beyond text search). Overall, agents can complete most SEC research workflows.

    Resources