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MCP server · Blockchain

Financial Data

MCP Server: mcp-financial-data

Unclaimed last commit a year ago blockchain
34Low

Scored 17 days ago · breakdown

About Financial Data

Financial Data is an MCP server published by Parichay-Pothepalli in the Blockchain category: mCP Server: mcp-financial-data.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/Parichay-Pothepalli/financial-research-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

Financial Datasets MCP Server

A financial data provider MCP server built with Smithery CLI

Features

This MCP server provides tools for accessing financial data including:

  • Income statements
  • Balance sheets
  • Cash flow statements
  • Current stock prices
  • Historical stock prices
  • Company news
  • SEC filings
  • Cryptocurrency prices and information

Prerequisites

  • Smithery API key: Get yours at smithery.ai/account/api-keys
  • Financial Datasets API key (optional): Can be provided through:
    • Environment variable: FINANCIAL_DATASETS_API_KEY
    • Session configuration when connecting to the server

Configuration

The server accepts the following configuration parameters:

  • api_key: Your Financial Datasets API key (optional)
  • pirate_mode: Speak like a pirate (for fun, default: false)

Getting Started

  1. Set up your environment:

    # Optional: Create a .env file with your API key
    echo "FINANCIAL_DATASETS_API_KEY=your_api_key_here" > .env
    
  2. Run the server:

    uv run dev
    
  3. Test interactively:

    uv run playground
    

Available Tools

Financial Data Retrieval

  • get_income_statements: Get income statements for a company
  • get_balance_sheets: Get balance sheets for a company
  • get_cash_flow_statements: Get cash flow statements for a company
  • get_current_stock_price: Get the current/latest price of a company
  • get_historical_stock_prices: Get historical stock prices for a company
  • get_company_news: Get news for a company
  • get_sec_filings: Get SEC filings for a company

Cryptocurrency Data

  • get_available_crypto_tickers: Get all available crypto tickers
  • get_historical_crypto_prices: Get historical prices for a cryptocurrency
  • get_current_crypto_price: Get the current/latest price of a cryptocurrency

Financial Analysis

  • analyze_financial_ratios: Comprehensive financial ratio analysis including:
    • Profitability ratios: ROE, ROA, profit margin, operating margin
    • Valuation ratios: P/E, P/B, P/S ratios
    • Liquidity ratios: Current ratio, quick ratio
    • Solvency ratios: Debt-to-equity, interest coverage
    • Analysis: Contextual interpretation of each ratio
    • Summary: Overall financial health assessment

Development

Your server code is in src/hello_server/server.py. Add or update your server capabilities there.

Deploy

Ready to deploy? Push your code to GitHub and deploy to Smithery:

  1. Create a new repository at github.com/new

  2. Initialize git and push to GitHub:

    git add .
    git commit -m "Financial Datasets MCP Server"
    git remote add origin https://github.com/YOUR_USERNAME/YOUR_REPO.git
    git push -u origin main
    
  3. Deploy your server to Smithery at smithery.ai/new

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Financial Data

How do I install Financial Data?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Financial Data safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Financial Data still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.