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Mcp Server

An MCP server for interacting with the Financial Datasets stock market API.

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Price

Free

API key required

Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

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. 1.Clone this repository:

```bash

git clone https://github.com/financial-datasets/mcp-server cd mcp-server

```

  1. 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. 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. 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. 1.Run the server:

```bash

uv run server.py

```

Connecting to Claude Desktop

  1. 1.Install Claude Desktop if you haven't already
  1. 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. 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. 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

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

2

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.

3

Your data stays between you and your AI — nothing is shared with us or anyone else.

What's New

Version 1.0.06 days ago

Imported from GitHub

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