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FinzData

by FastDrop

MCP Verified 3 days ago Registry import free

Point-in-time market data and server-side backtests: stocks, ETFs, futures, GEX, macro, crypto.

Point-in-time market data and server-side backtests: stocks, ETFs, futures, GEX, macro, crypto. Official MCP Registry: com.finzdata/mcp@1.0.0. Remote endpoint: https://api.finzdata.com/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.finzdata/mcp and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 8 Nov 2026. Not supplied by the maker.

  • search_datasets

    Full-text search over the dataset catalog. Returns matching dataset ids and descriptions. Free of look-ahead concerns; no as_of needed.

  • describe_dataset

    Returns the schema, coverage and field definitions of one dataset. Raises not_found for an unknown dataset id.

  • get_universe

    Returns every US symbol that was trading on as_of, including companies that later delisted (survivorship-free). index='top500'|'top1000'|'top3000' instead returns the most-traded names priced at least

  • get_bars

    Returns daily OHLCV bars for symbols between start and end, clipped to as_of (default today) so no future data leaks. Max 5000 rows per page; use next_cursor for more.

  • backtest_export

    Daily OHLCV bars for one symbol packaged as ready-to-load files for an open-source backtester or trading framework: backtrader, backtesting_py, vectorbt, zipline (csvdir bundle), lean (QuantConnect LE

  • get_fundamentals_pit

    Returns fundamentals for one symbol as known on as_of (no restatements from the future). as_of defaults to today.

  • get_macro_vintage

    Returns a macro series as it was actually published by as_of (vintage data, no revisions from the future). Optional start.

  • get_quant_model

    The FinzData Quantitative Model as known on as_of: macro regime labels (financial conditions direction, financial risk direction, growth level and direction, inflation direction, macro quadrant GOLDIL

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Matched on shared tags and the tools their MCP servers actually expose.

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