by financial-datasets
Access stock price for NVDA, income statements, balance sheets, and market news via the Financial Datasets server and AP
Provides access to comprehensive stock market and cryptocurrency data including financial statements, historical prices, and market news through the Financial Datasets API.
Financial Datasets is an official MCP server published by financial-datasets that provides AI assistants with tools and capabilities via the Model Context Protocol. Access stock price for NVDA, income statements, balance sheets, and market news via the Financial Datasets server and AP It is categorized under finance, analytics data.
You can install Financial Datasets in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
MIT
Financial Datasets is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Useful MCP listing: Financial Datasets is the kind of server we cite when onboarding engineers to host + tool permissions.
Financial Datasets is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Financial Datasets reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Financial Datasets is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Financial Datasets has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Financial Datasets is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Financial Datasets benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Financial Datasets is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Financial Datasets reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Financial Datasets for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
showing 1-10 of 53
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.
This MCP server provides the following tools:
Clone this repository:
git clone https://github.com/financial-datasets/mcp-server
cd mcp-server
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
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
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
Run the server:
uv run server.py
Install Claude Desktop if you haven't already
Create or edit the Claude Desktop configuration file:
# macOS
mkdir -p ~/Library/Application\ Support/Claude/
nano ~/Library/Application\ Support/Claude/claude_desktop_config.json
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.
Restart Claude Desktop
You should now see the financial tools available in Claude Desktop's tools menu (hammer icon)
Try asking Claude questions like:
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.