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Financial Datasets AI MCP — wraps financialdatasets.ai
About
Financial Datasets AI MCP — wraps financialdatasets.ai
Remote endpoints: streamable-http: https://gateway.pipeworx.io/financial-datasets/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. Trust signals: trusted author (2102/2104 approved).
48 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: PIPEWORX_API_KEY
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
mcp-financial-datasets
Financial Datasets AI MCP — wraps financialdatasets.ai
Part of Pipeworx — an MCP gateway connecting AI agents to 1864+ 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 1864+ 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":"..."}.
Run it from npm
@pipeworx/mcp-financial-datasets is a local stdio bridge to the Pipeworx gateway: your MCP client
starts it with npx, and it forwards every call to the same
https://gateway.pipeworx.io/financial-datasets/mcp endpoint shown above. It needs network access;
there is no offline mode.
{
"mcpServers": {
"financial-datasets": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-financial-datasets"]
}
}
}
Without a key it calls anonymously, capped at 50 calls a day. A free account
raises that to 200 a day: get a key at https://pipeworx.io/signup and add
"env": { "PIPEWORX_API_KEY": "<your key>" } to the server entry.
The key is sent as a Bearer token, the same way a hosted connection sends it,
so calls are metered and billed exactly as they are there.
It lists only this pack's tools by default. Set PIPEWORX_META_TOOLS=1 to
also list ask_pipeworx and the other gateway-wide tools.
Behind an HTTPS proxy: Node's built-in fetch does not read HTTPS_PROXY by
default. Newer Node releases honour it when NODE_USE_ENV_PROXY=1 is set; check
your Node version's documentation.
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
License
MIT
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