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Financial Modeling Prep MCP Server

Financial Modeling Prep MCP Server

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      Exposes 250+ financial data tools across 24 categories, letting AI assistants retrieve and analyze stock quotes, company fundamentals, financial statements, technical indicators, ETFs, crypto, forex, commodities, and economic data through the Financial Modeling Prep API. Supports dynamic or pre-loaded toolsets over HTTP/SSE, with hosted or self-hosted deployment.
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    TDQS

    C2.9/5.0

    Scored across 267 tools

    Disambiguation2/5

    With 267 tools, many overlap heavily (e.g., getIncomeStatement vs getIncomeStatementTTM vs getIncomeStatementGrowth vs getIncomeStatementAsReported vs getIncomeStatementsBulk; getQuote vs getQuoteShort vs getBatchQuotes; getSenateTrades vs getSenateTradesById vs getSenateTradesByName). Descriptions help somewhat, but an agent will frequently struggle to select the correct granular variant.

    Naming Consistency3/5

    Most tools use camelCase with get/search prefixes, but verb conventions are mixed (get, search, list, calculate, lookup, and noun-only stockScreener). Some near-duplicate names differ only by suffixes like Latest, TTM, or Bulk, which adds friction despite general readability.

    Tool Count1/5

    267 tools is an extreme mismatch for a single MCP server. This far exceeds the 50+ threshold and results in an unwieldy surface where many tools are granular variants that could be consolidated.

    Completeness5/5

    The surface comprehensively covers equities, financial statements, ETFs, forex, crypto, news, calendars, SEC filings, insider and political trades, valuation, and technical indicators. For a financial data retrieval API, the coverage is essentially exhaustive with no obvious gaps.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing