Financial Datasets

mcp-financial-datasets

Financial Datasets AI MCP — wraps financialdatasets.ai

Part of Pipeworx — an MCP gateway connecting AI agents to 1879+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Tools

Tool	Description
fd_institutional_holders	Who holds (institutional 13F holders) — the institutional investors (funds, asset managers) that report holding a stock in their latest SEC Form 13F. Returns investor name, shares held, market value, and report period. Example: fd_institutional_holders({ ticker: "AAPL", limit: 25, _apiKey: "your-key" })
fd_investor_portfolio	What does fund hold (institutional 13F portfolio) — every long position an institutional filer reported in its latest SEC Form 13F. Identified by the fund's 10-digit zero-padded SEC CIK (e.g. Berkshire Hathaway = 0001067983). Returns ticker, shares, market value, and report period per position. Example: fd_investor_portfolio({ filer_cik: "0001067983", limit: 50, _apiKey: "your-key" })
fd_insider_transactions	Insider (Form 4) transactions for — recent buys/sells by officers, directors, and 10%+ owners as reported on SEC Form 3/4/5. Returns insider name, title, transaction type, shares, price, date, and board-director flag. Example: fd_insider_transactions({ ticker: "AAPL", limit: 25, _apiKey: "your-key" })
fd_filings	Recent SEC filings for — the company's latest EDGAR filings (10-K, 10-Q, 8-K, 20-F, 6-K). Returns filing type, report period, filing date, and document URL. Optionally filter by filing_type. Example: fd_filings({ ticker: "AAPL", filing_type: "8-K", limit: 20, _apiKey: "your-key" })

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "financial-datasets": {
      "url": "https://gateway.pipeworx.io/financial-datasets/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/financial-datasets/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1879+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

This pack takes your own API key (_apiKey) — we don't front one for it, so there's no curl here that would run without it. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/fd_institutional_holders. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "financial-datasets": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-financial-datasets"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-financial-datasets

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Financial Datasets data" })

The gateway picks the right tool and fills the arguments automatically.

More

• Docs and guides
• pipeworx.io

License

MIT