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Financial Datasets

OrganizationPopular
financial-datasets

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

Publisherfinancial-datasets
Repositorymcp-server
LanguagePython
Forks
336
Stars
2.1K
Available tools
0
Transport typestreamable-http
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Financial Datasets exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    2.1K stars and 336 forks from the linked repository.

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
  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 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"

Installation

TypingMind
{
  "mcpServers": {
    "financial-datasets": {
      "url": "https://mcp.financialdatasets.ai/mcp"
    }
  }
}

Use Financial Datasets MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Financial Datasets is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP connects through a hosted MCP server URL in TypingMind.

Add an MCP server URL

Use this when Financial Datasets is already hosted remotely or your team wants one shared connector that multiple users can access.

1

Open MCP connectors

In TypingMind, go to Plugins, open MCP connectors, then choose Add URL.

  1. Open TypingMind in your browser.
  2. Go to Plugins.
  3. Open MCP connectors.
  4. Click Add URL.
TypingMind Add Custom MCP Server URL form
2

Paste the server URL

Enter https://mcp.financialdatasets.ai/mcp in the Server URL field. Add a connection name, description, icon, custom HTTP headers, or OAuth client settings if the server requires them.

  1. Paste https://mcp.financialdatasets.ai/mcp into the Server URL field.
  2. Enter a connection name for Financial Datasets.
  3. Add a description and icon if you want it to be easier to identify.
  4. Add custom HTTP headers or OAuth client details if the server requires authentication.
3

Create the connection

Click Create connection, then return to the Plugins list and confirm the new MCP connection is active.

  1. Click Create connection.
  2. Return to the MCP connectors list.
  3. Confirm the Financial Datasets connection appears as active.
  4. Refresh the plugin list if the connection does not appear immediately.
4

Switch models without reconnecting

Start a chat with your preferred model, enable the Financial Datasets tools from Plugins, and switch to another model whenever needed. The MCP connection stays available to the TypingMind workspace.

  1. Start a new chat in TypingMind.
  2. Select the AI model you want to use.
  3. Enable the Financial Datasets tools from Plugins.
  4. Ask the model to use the tool when needed.
  5. Switch to another AI model and reuse the same MCP connection.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Financial Datasets to help me with this task?
Financial Datasets
Sure. I read it.
Here is what I found using Financial Datasets.

Frequently asked questions

What is the Financial Datasets MCP server used for?

Financial Datasets is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Financial Datasets MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Financial Datasets with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Financial Datasets MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Financial Datasets connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Financial Datasets MCP to TypingMind?

Financial Datasets can be connected in TypingMind by adding its hosted MCP server URL. This is useful when you want a remote MCP connection that is available from your TypingMind workspace.

What tools does Financial Datasets MCP provide in TypingMind?

Financial Datasets exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Financial Datasets MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Financial Datasets requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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