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Alternatives to FinResearch MCP

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables 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 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables to search and retrieve SEC EDGAR filings, insider transactions, major shareholders, and executive compensation data through natural language.
      11 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      An MCP server for SEC EDGAR written in Rust: company filings, full-text search, XBRL financials, insider transactions and company info. A single native binary; no API key.
      32
      14
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables natural-language financial research and analysis across SEC filings, earnings transcripts, company financials, stock and crypto market data, and prediction markets, returning structured, source-backed answers.
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables natural-language financial and market research across SEC filings, earnings transcripts, company financials, stock and crypto data, and prediction markets, returning structured, source-backed answers for investors, analysts, and researchers.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables AI clients to search and analyze SEC filings, financial statements, insider trades, and institutional holdings through natural language tools.
      9
      7 npm
      1
      MIT

    TDQS

    B3.2/5.0

    Scored across 24 tools

    Disambiguation4/5

    Most tools have distinct purposes (e.g., calculate_cagr vs calculate_dcf_valuation), but some overlap exists: get_financial_fact, get_company_financials, and get_sec_company_facts all retrieve SEC financial data, and analyze_company, ai_analyze_company, and get_dashboard_data produce overlapping analytical outputs. Descriptions help but boundaries could be clearer.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (calculate_*, get_*, run_*, analyze_*, compare_*, index_*, search_*, export_*). There are minor prefixes like 'ai_' and suffixes like '_rag', but they are applied consistently and do not break the overall convention.

    Tool Count4/5

    With 24 tools, the server is on the high end of the typical range, but the count is justified by the comprehensive scope covering financial data retrieval, ratio analysis, valuation models, portfolio analytics, market data, reporting, and RAG-based search. Each tool addresses a distinct need, though the set could be slightly consolidated.

    Completeness4/5

    The tool surface covers the full financial research workflow: fetching SEC data, calculating metrics and valuations, running sensitivity analysis, comparing companies, analyzing portfolios, retrieving market data, and exporting reports. Missing a direct tool for listing filings or comparing against industry benchmarks, but these are minor gaps that can be worked around with existing tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues