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Mcp Server
An MCP server for interacting with the Financial Datasets stock market API.
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API key required
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About
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:
```bash
git clone https://github.com/financial-datasets/mcp-server cd mcp-server
```
- 1.If you don't have uv installed, install it:
```bash
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows
curl -LsSf https://astral.sh/uv/install.ps1 | powershell
```
- 1.Install dependencies:
```bash
# 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
```
- 1.Set up environment variables:
```bash
# 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
```
- 1.Run the server:
```bash
uv run server.py
```
Connecting to Claude Desktop
- 1.Install Claude Desktop if you haven't already
- 1.Create or edit the Claude Desktop configuration file:
```bash
# macOS
mkdir -p ~/Library/Application\ Support/Claude/ nano ~/Library/Application\ Support/Claude/claude_desktop_config.json
```
- 1.Add the following configuration:
```json
{ "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.
- 1.Restart Claude Desktop
Don't lose this
Three weeks from now, you'll want Mcp Server again. Will you remember where to find it?
Save it to your library and the next time you need Mcp Server, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. An MCP server for interacting with the Financial Datasets stock market API. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
Your data stays between you and your AI — nothing is shared with us or anyone else.
What's New
Imported from GitHub
Ratings & Reviews
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