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Riyap364

Financial Modeling Prep MCP Server

by Riyap364

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      Exposes 250+ tools across 24 categories spanning stocks, ETFs, crypto, forex, commodities, and economics, letting AI assistants query quotes, financial statements, company fundamentals, technical indicators, SEC filings, and market news. Supports dynamic runtime toolset loading, pre-loaded static toolsets, or all tools at once over HTTP/SSE, either via a hosted instance or self-hosting.
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to query 250+ financial data tools spanning stocks, ETFs, cryptocurrencies, forex, commodities, economics, technical indicators, and SEC filings. Supports dynamic, static, and all-tools modes over HTTP/SSE transport, with hosted or self-hosted deployment via npm and Docker.
      867 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to access and analyze financial data, including stocks, ETFs, crypto, forex, commodities, economics, company fundamentals, and market insights through 250+ tools. Supports dynamic, static, or full toolset modes for flexible integration.
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to access and analyze financial data such as stocks, ETFs, crypto, forex, commodities, company fundamentals, financial statements, and market insights through 250+ configurable tools.
      867 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools covering stocks, ETFs, crypto, forex, commodities, and economics.
      867 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to access, search, and analyze financial data—including stocks, ETFs, crypto, forex, commodities, company fundamentals, earnings, and economic indicators—through a large catalog of flexible toolsets.
      867 npm
      Apache 2.0