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financial-analysis-mcp-server

financial-analysis-mcp-server

by kablewy
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Financial Analysis MCP Server

An MCP server implementation for financial analysis using Alpha Vantage and Financial Modeling Prep APIs.

Features

  • Real-time and historical stock price data

  • Company fundamental data including:

    • Company overview

    • Income statements

    • Balance sheets

    • Cash flow statements

    • Financial ratios

Related MCP server: AlphaVantage MCP Server

Setup

  1. Install dependencies:

npm install

  1. Configure environment variables in .env:

ALPHA_VANTAGE_API_KEY=your_alpha_vantage_api_key_here
FMP_API_KEY=your_fmp_api_key_here

  1. Build and run:

npm run build
npm start

Available Tools

stock_price

Get real-time and historical stock price data from Alpha Vantage

Parameters:

  • symbol (required): Stock ticker symbol

  • interval: Time interval ('1min', '5min', '15min', '30min', '60min', 'daily')

  • outputSize: Amount of data ('compact', 'full')

  • dataType: Response format ('json', 'csv')

company_fundamentals

Get company fundamental data from Financial Modeling Prep

Parameters:

  • symbol (required): Stock ticker symbol

  • metrics: Array of metrics to retrieve ('overview', 'income', 'balance', 'cash', 'ratios')

Available Tools

2 tools
company_fundamentalsB

Get company fundamental data from Financial Modeling Prep

Inputs: symbol (required), metrics.

stock_priceA

Get real-time and historical stock price data from Alpha Vantage

Inputs: symbol (required), dataType, interval, outputSize.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.6/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools are cleanly separated by data type: one provides price data, the other provides fundamental data. There is no overlap or ambiguity in their purposes.

    Naming Consistency5/5

    Both tool names follow the same pattern of two snake_case nouns representing the entity and the data type. The naming is consistent and predictable.

    Tool Count3/5

    With only 2 tools, the server feels thin for a domain as broad as financial analysis. While each tool is useful, the count is borderline and may not cover diverse user needs.

    Completeness3/5

    The server covers two core data areas (pricing and fundamentals), but notable gaps remain, such as technical indicators, news, or financial statement breakdowns. Agents may need to work around these missing operations.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Resources

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