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FMP MCP Server

FMP MCP Server

by DigiBugCat

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      Enables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights via the Financial Modeling Prep API, with 250+ tools covering stocks, ETFs, crypto, forex, commodities, and economics.
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      Provides AI assistants access to comprehensive financial data including real-time stock quotes, company fundamentals, financial statements, market analysis, economic indicators, and 250+ financial tools across 24 categories from Financial Modeling Prep API.
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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

    A4.2/5.0

    Scored across 21 tools

    Disambiguation4/5

    Most tools have distinct purposes targeting specific financial analysis aspects like earnings, valuation, or market data, with clear boundaries. However, some overlap exists between company_overview and stock_brief, and between market_overview and market_context, which could cause minor confusion but descriptions help differentiate them.

    Naming Consistency5/5

    Tool names follow a consistent snake_case pattern with clear verb_noun or noun_verb structures throughout, such as analyst_consensus, company_overview, and earnings_setup. There are no deviations in naming conventions, making the set predictable and readable.

    Tool Count3/5

    With 21 tools, the count is borderline high for a financial data server, potentially overwhelming for agents. While it covers a broad domain, some tools like stock_brief might overlap with others, suggesting the set could be streamlined without losing functionality.

    Completeness5/5

    The tool surface provides comprehensive coverage for stock analysis, including company data, earnings, valuation, market context, and search capabilities. It supports full CRUD-like workflows for financial research with no obvious gaps, enabling agents to perform detailed analysis from overview to deep dives.

    Maintenance

    ActivityInactive
    ResponsivenessSyncing