Financial Datasets

Communauté Données et bases de données

Stock market API made for AI agents

Que pouvez-vous faire avec Financial Datasets ?

  • 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: Gets historical stock prices for a company.
  • get_company_news: Get news for a company.
  • get_available_crypto_tickers: Gets all available crypto tickers.
  • get_crypto_prices: Gets historical prices for a crypto currency.

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Financial Datasets MCP Server
  2. Introduction
  3. Available Tools
  4. Setup
  5. Connecting to Claude Desktop

Financial Datasets MCP Server

Introduction

This is a Model Context Protocol (MCP) server that provides access to stock market data from Financial Datasets.

It allows Claude and other AI assistants to retrieve income statements, balance sheets, cash flow statements, stock prices, and market news directly through the MCP interface.

Available Tools

This MCP server provides the following tools:

  • 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: Gets historical stock prices for a company.
  • get_company_news: Get news for a company.
  • get_available_crypto_tickers: Gets all available crypto tickers.
  • get_crypto_prices: Gets historical prices for a crypto currency.
  • get_historical_crypto_prices: Gets historical prices for a crypto currency.
  • get_current_crypto_price: Get the current / latest price of a crypto currency.

Setup

Prerequisites
  • Python 3.10 or higher
  • uv package manager
Installation
  1. Clone this repository:
     git clone https://github.com/financial-datasets/mcp-server
     cd mcp-server
  2. If you don't have uv installed, install it:
     # macOS/Linux
     curl -LsSf https://astral.sh/uv/install.sh | sh
    
     # Windows
     curl -LsSf https://astral.sh/uv/install.ps1 | powershell
  3. Install dependencies:
     # Create virtual env and activate it
     uv venv
     source .venv/bin/activate  # On Windows: .venv\Scripts\activate
    
     # Install dependencies
     uv add "mcp[cli]" httpx  # On Windows: uv add mcp[cli] httpx
    
  4. Set up environment variables:
     # Create .env file for your API keys
     cp .env.example .env
    
     # Set API key in .env
     FINANCIAL_DATASETS_API_KEY=your-financial-datasets-api-key
  5. Run the server:
     uv run server.py

Connecting to Claude Desktop

  1. Install Claude Desktop if you haven't already
  2. Create or edit the Claude Desktop configuration file:
     # macOS
     mkdir -p ~/Library/Application\ Support/Claude/
     nano ~/Library/Application\ Support/Claude/claude_desktop_config.json
  3. Add the following configuration:

     {
       "mcpServers": {
         "financial-datasets": {
           "command": "/path/to/uv",
           "args": [
             "--directory",
             "/absolute/path/to/financial-datasets-mcp",
             "run",
             "server.py"
           ]
         }
       }
     }

    Replace /path/to/uv with the result of which uv and /absolute/path/to/financial-datasets-mcp with the absolute path to this project.

  4. Restart Claude Desktop
  5. You should now see the financial tools available in Claude Desktop's tools menu (hammer icon)
  6. Try asking Claude questions like:
    • "What are Apple's recent income statements?"
    • "Show me the current price of Tesla stock"
    • "Get historical prices for MSFT from 2024-01-01 to 2024-12-31"

Questions fréquentes

Qu'est-ce que Financial Datasets ?

Stock market API made for AI agents

Comment installer Financial Datasets ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

Financial Datasets est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Financial Datasets ?

Il est publié par financial-datasets. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.