🌐

Financial Datasets MCP Server

Name: Financial Datasets MCP Server
Author: Financial Datasets

Updated June 2026✓ Official

The Financial Datasets MCP server, built by Financial Datasets, provides the official Financial Datasets MCP Server gives Claude and other AI assistants direct access to stock market and crypto data through the Financial Datasets API, so an assistant can pull real fundamentals and prices instead of relying on stale training data. It is officially maintained and best for API & Web.

by Financial Datasets

About

The official Financial Datasets MCP Server gives Claude and other AI assistants direct access to stock market and crypto data through the Financial Datasets API, so an assistant can pull real fundamentals and prices instead of relying on stale training data. It exposes ten tools: get_income_statements, get_balance_sheets, and get_cash_flow_statements for company financial statements; get_current_stock_price and get_historical_stock_prices for equity pricing; get_company_news for recent headlines; and get_available_crypto_tickers, get_current_crypto_price, get_crypto_prices, and get_historical_crypto_prices for crypto markets. It is a Python server built on the official `mcp[cli]` SDK plus httpx, requiring Python 3.10+ and the uv package manager. Setup is clone the repo, run `uv venv && uv add "mcp[cli]" httpx`, then supply a FINANCIAL_DATASETS_API_KEY in a .env file before pointing Claude Desktop's config at `uv run server.py` with the project's absolute path. Once connected, an assistant can answer questions like "what are Apple's recent income statements" or "get historical prices for MSFT from 2024-01-01 to 2024-12-31" using live data rather than guessing.

Installation

pip

git clone https://github.com/financial-datasets/mcp-server && cd mcp-server && uv venv && uv add "mcp[cli]" httpx

Works With

🟣Claude Desktop ⚡Cursor 💙VS Code 🏄Windsurf 🤖Cline

Frequently Asked Questions

What is Financial Datasets MCP Server?

Financial Datasets is an MCP server built by Financial Datasets. The official Financial Datasets MCP Server gives Claude and other AI assistants direct access to stock market and crypto data through the Financial Datasets API, so an assistant can pull real fundamentals and prices instead of relying on stale training data. It exposes ten tools: get_income_statements, get_balance_sheets, and get_cash_flow_statements for company financial statements; get_current_stock_price and get_historical_stock_prices for equity pricing; get_company_news for recent headlines; and get_available_crypto_tickers, get_current_crypto_price, get_crypto_prices, and get_historical_crypto_prices for crypto markets. It is a Python server built on the official `mcp[cli]` SDK plus httpx, requiring Python 3.10+ and the uv package manager. Setup is clone the repo, run `uv venv && uv add "mcp[cli]" httpx`, then supply a FINANCIAL_DATASETS_API_KEY in a .env file before pointing Claude Desktop's config at `uv run server.py` with the project's absolute path. Once connected, an assistant can answer questions like "what are Apple's recent income statements" or "get historical prices for MSFT from 2024-01-01 to 2024-12-31" using live data rather than guessing.

Who built Financial Datasets MCP Server?

Financial Datasets MCP Server was built by Financial Datasets.

Is Financial Datasets MCP Server free?

Yes, Financial Datasets MCP Server has a free option. The MCP server is free and open-source. Stock data API costs vary by provider. Many offer free tiers with delayed data.

How do I install Financial Datasets MCP Server?

Install Financial Datasets MCP Server with pip: git clone https://github.com/financial-datasets/mcp-server && cd mcp-server && uv venv && uv add "mcp[cli]" httpx

What does Financial Datasets MCP Server integrate with?

Financial Datasets MCP Server integrates with Claude Desktop, Cursor, VS Code, Windsurf, Cline.

Related Guides

Best MCP Servers for Finance & FinTech in 2026

7 min read • Guides

View on GitHub Visit Website

Repo Health

Local install

Local/stdio install — runs on your machine, so there is no remote endpoint to verify live. Trust signal below is from the source repo.

Repo recency not yet available for this server.

Quick Info

Install Type: pip
Author: Financial Datasets
Categories: 2
Integrations: 5

Related Servers

🌐

Fetch

Web content fetching and conversion for efficient LLM usage. Extract readable content from any URL.

Local✓

🌍

Apify MCP Server

The Apify MCP server gives AI agents access to 6,000+ ready-made cloud scrapers, crawlers, and automation tools on the Apify Store — no infrastructure required. Connect to Apify Actors that extract data from social media platforms (Instagram, TikTok, LinkedIn), search engines (Google, Bing), e-commerce sites (Amazon, eBay), maps (Google Maps), and virtually any website. Each Actor runs in the cloud with managed proxies, browser fingerprinting, and anti-bot bypass built in. Use the Apify MCP server to query Actors by task, stream results directly into your AI context, run custom scraping Actors from your Apify account, and chain multiple data extraction steps in a single workflow. Supports tool filtering to expose only the Actors you need, and integrates with Apify's RAG web browser Actor for retrieval-augmented generation use cases.

Auth required✓

🌍

Browserbase

Automate browser interactions in the cloud (web navigation, data extraction, form filling, and more).

Local

🌍

Firecrawl MCP Server

The Firecrawl MCP server gives your AI assistant the ability to crawl, scrape, and extract structured data from any website — turning raw HTML into clean, LLM-ready Markdown or JSON in seconds. Built by the Firecrawl team, it exposes tools for single-page scraping, deep site crawls (following internal links), and batch URL extraction, all with JavaScript rendering handled automatically so dynamic content is never missed. Developers use it to automate competitive research, build live knowledge bases, extract pricing tables, monitor documentation changes, or feed structured web data into RAG pipelines — all through natural-language prompts without writing a single scraper script. The Firecrawl MCP server handles rate limiting, retries, and proxy rotation behind the scenes. Authentication requires a Firecrawl API key (free tier available). Install with: npx firecrawl-mcp. Works with Claude Desktop, Cursor, VS Code, and any MCP-compatible client. With Firecrawl, any public webpage becomes a structured data source your AI can reason over, compare, and act on — making it the go-to MCP server for web data extraction workflows.

Auth required

📋

Notion MCP Server

The Notion MCP Server is the official integration from Notion that connects AI assistants directly to your Notion workspace via the Notion REST API. With 3,500+ GitHub stars, it is the canonical MCP tool for bringing Notion's knowledge management capabilities into Claude Desktop, Cursor, Windsurf, and any MCP-compatible client. The server exposes a rich set of tools: search your entire workspace by keyword and return matching pages and databases; retrieve full page content and block trees; create new pages inside any parent page or workspace section; update, append, or delete block content on existing pages; list all databases your integration has access to; query database entries with filter and sort parameters; retrieve individual blocks or nested children by block ID; and add comments to pages. Authentication uses a Notion integration token — create an internal integration at notion.so/my-integrations, share specific pages or databases with it, and set NOTION_API_KEY in your environment. Install with a single npx command. The Notion MCP Server is especially powerful for AI workflows that span documentation retrieval, project planning, and knowledge capture — Claude can read product specs from Notion, draft new pages from conversation output, log structured data into databases, and search across thousands of notes without any manual copy-paste.