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edgar-mcp

by Arnavdsp
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Python
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    TDQS

    A4.9/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool owns a clearly distinct job: resolving entities, listing filings, pulling a single financial time series, extracting a filing section, searching full text, and comparing companies. The only adjacent pair is compare_companies and get_financial_concept, but the former is explicitly a multi-company alignment tool while the latter is a single-company series, and both descriptions make the boundary clear.

    Naming Consistency5/5

    All six tool names follow the same verb_noun snake_case pattern: resolve_company, list_filings, get_financial_concept, get_filing_section, search_full_text, compare_companies. There is no mixing of camelCase, inconsistent verb forms, or vague tool names.

    Tool Count5/5

    Six tools is right-sized for an EDGAR client, with each tool mapping to a distinct step in the workflow: resolve, browse filings, read numbers, read prose, search, and compare. None feels redundant, and the set is neither too thin nor bloated.

    Completeness4/5

    The set covers the core EDGAR workflow well, including entity resolution, filing discovery, XBRL figures, narrative sections, and cross-filing search. Minor gaps remain—there is no tool for fetching an entire raw filing body, and get_financial_concept supports a fixed concept list rather than arbitrary XBRL tags—but these are workaroundable through document URLs and the available extraction tools.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources