# Financial Datasets MCP Server (`agentify/financial-datasets-mcp-server`) Actor

This MCP server 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.

- **URL**: https://apify.com/agentify/financial-datasets-mcp-server.md
- **Developed by:** [agentify](https://apify.com/agentify) (community)
- **Categories:** MCP servers
- **Features:** Full permissions, Single-tenant, Server interface
- **Stats:** 18 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 get income statements

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### Financial Datasets MCP Server

This MCP server provides access to stock market data from [Financial Datasets](https://www.financialdatasets.ai/). 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.

**About this MCP Server:** To understand how to connect to and utilize this MCP server, please refer to the official Model Context Protocol documentation at [mcp.apify.com](https://mcp.apify.com).

### Connection URL

MCP clients can connect to this server at:

```text
https://mcp-servers--financial-datasets-mcp-server.apify.actor/mcp
```

### Client Configuration

To connect to this MCP server, use the following configuration in your MCP client:

```json
{
  "mcpServers": {
    "financial-datasets": {
      "url": "https://mcp-servers--financial-datasets-mcp-server.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}
```

**Note:** Replace `YOUR_APIFY_TOKEN` with your actual Apify API token. You can find your token in the [Apify Console](https://console.apify.com/account/integrations).

### 🚩 Claim this MCP server

All credits to the original authors of https://github.com/financial-datasets/mcp-server
To claim this server, please write to <ai@apify.com>.

***

## Financial Datasets MCP Server

### Introduction

This is a Model Context Protocol (MCP) server that provides access to stock market data from [Financial Datasets](https://www.financialdatasets.ai/).

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](https://github.com/astral-sh/uv) package manager

#### Installation

1. Clone this repository:
   ```bash
   git clone https://github.com/financial-datasets/mcp-server
   cd mcp-server
   ```

2. 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
   ```

3. 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

   ```

4. 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
   ```

5. Run the server:
   ```bash
   uv run server.py
   ```

### Connecting to Claude Desktop

1. Install [Claude Desktop](https://claude.ai/desktop) if you haven't already

2. 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
   ```

3. 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.

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"

### References

To learn more about Apify and Actors, take a look at the following resources:

- [Apify SDK for JavaScript documentation](https://docs.apify.com/sdk/js)
- [Apify SDK for Python documentation](https://docs.apify.com/sdk/python)
- [Apify Platform documentation](https://docs.apify.com/platform)
- [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp)
- [Webinar: Building and Monetizing MCP Servers on Apify](https://www.youtube.com/watch?v=w3AH3jIrXXo)
- [Join our developer community on Discord](https://discord.com/invite/jyEM2PRvMU)

# Actor input Schema

## Actor input object example

```json
{}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("agentify/financial-datasets-mcp-server").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("agentify/financial-datasets-mcp-server").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call agentify/financial-datasets-mcp-server --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,agentify/financial-datasets-mcp-server"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/8xT9VW5nBPHfB1qNO/builds/S3TZlbEP37Xmysonc/openapi.json