Financial Datasets

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Query stock prices, financial statements, SEC filings, insider trades and market news from Financial Datasets.

state.auth.long (state.auth.title)Streamable HTTP

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https://mcp.financialdatasets.ai/

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mcp.tc/i/financial-datasets

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Connects an AI assistant to the Financial Datasets stock market API. It can retrieve company financial statements, current and historical stock prices, SEC filings, insider trades and company news, so answers come from current market data.

The hosted server runs at https://mcp.financialdatasets.ai/ over streamable HTTP and uses OAuth sign-in with the stock-market-data scope. For programmatic access, https://mcp.financialdatasets.ai/api accepts an X-API-KEY header. An older self-hosted Python server is also on GitHub (MIT license) and needs a Financial Datasets API key, but the hosted server is the maintained option.

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  • Get income statements, balance sheets and cash flow statements
  • Look up current and historical stock prices
  • Read market news for a company
  • Access SEC filings and insider trades
  • Look up crypto tickers and prices (original self-hosted server)

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  • 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

  • Summarize recent news about NVIDIA

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Claude Code

  1. Run this in a terminal, in your project folder:
claude mcp add --transport http financial-datasets https://mcp.financialdatasets.ai/
  1. Start Claude Code, type /mcp, pick financial-datasets and choose Authenticate. A browser window opens for the Financial Datasets sign-in.

Add --scope user to make it available in every project, not just this one.

Claude Desktop

  1. Open Settings → Connectors and click Add custom connector.
  2. Name it Financial Datasets and paste this URL:
https://mcp.financialdatasets.ai/
  1. Click Add, then Connect, and sign in when Financial Datasets asks.

Claude Desktop's JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too.

claude.ai

  1. Open the connector form on claude.ai. This button fills in the name and URL for you:
  1. Check that the URL reads https://mcp.financialdatasets.ai/ and click Add.
  2. Click Connect and sign in when Financial Datasets asks.

Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under Organization settings → Connectors.

ChatGPT

  1. On chatgpt.com, open Settings → Security and login and turn on Developer mode.
  2. Go to chatgpt.com/plugins and click + to create an app for a remote MCP server.
  3. Paste https://mcp.financialdatasets.ai/ as the server URL and choose OAuth. ChatGPT sends you to Financial Datasets to sign in.

Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts.

Cursor

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

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

Cursor shows Needs login next to the server. Click it to sign in.

VS Code

Or from a terminal:

code --add-mcp '{"name":"financial-datasets","type":"http","url":"https://mcp.financialdatasets.ai/"}'

Or commit it to the repo in .vscode/mcp.json:

.vscode/mcp.json
{
  "servers": {
    "financial-datasets": {
      "type": "http",
      "url": "https://mcp.financialdatasets.ai/"
    }
  }
}

VS Code asks you to sign in the first time the server starts.

Devin Desktop

  1. Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):
mcp_config.json
{
  "mcpServers": {
    "financial-datasets": {
      "serverUrl": "https://mcp.financialdatasets.ai/"
    }
  }
}
  1. Refresh the MCP server list in Cascade and sign in when asked.

Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.

Codex

codex mcp add financial-datasets --url https://mcp.financialdatasets.ai/
codex mcp login financial-datasets

Or edit ~/.codex/config.toml directly:

config.toml
[mcp_servers.financial-datasets]
url = "https://mcp.financialdatasets.ai/"

Gemini CLI

gemini mcp add --transport http financial-datasets https://mcp.financialdatasets.ai/

Then, inside Gemini CLI, run /mcp auth financial-datasets to sign in.

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI's settings file.

{
  "mcpServers": {
    "financial-datasets": {
      "type": "http",
      "url": "https://mcp.financialdatasets.ai/"
    }
  }
}

Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.

Client only starts local servers? Bridge it with npx -y mcp-remote https://mcp.financialdatasets.ai/.

listing.faq

Can I paste mcp.tc/i/financial-datasets into my MCP client?

No. mcp.tc links are pages, not server addresses. Connect with https://mcp.financialdatasets.ai/, so your client talks to Financial Datasets directly. The sign-in token only works there anyway. The quick link is for sharing: it opens this page, with setup steps for every client.

Does Financial Datasets need an API key or a sign-in?

Yes, you need a Financial Datasets account. The first time your client connects, it opens Financial Datasets's sign-in page. The token goes straight to the server's own URL, never through mcp.tc.

Is Financial Datasets a remote or a local server?

Remote. Financial Datasets hosts it at https://mcp.financialdatasets.ai/, and it speaks Streamable HTTP. There's nothing to install.

What can Financial Datasets do?

You can get income statements, balance sheets and cash flow statements, look up current and historical stock prices and read market news for a company.

Which clients can use it?

Any client that supports remote MCP servers: Claude Code, Claude Desktop, claude.ai, ChatGPT in developer mode, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. The setup steps cover each one.

Who wrote this page?

mcp.tc's robot read Financial Datasets's own metadata (its MCP handshake, tool list and public pages), and an AI model drafted the text from it. A person reviews anything the checks can't confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.

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