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Glama
appydam

QuantXData MCP Server

by appydam

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
QUANTXDATA_EMAILYesYour QuantXData email address (API credential)
QUANTXDATA_SIGNING_KEYYesYour QuantXData signing key (API credential)

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_instrumentsA

List all supported exchanges and trading pairs. No authentication required.

get_tradesC

Get historical trade executions from an exchange

get_orderbooksC

Get historical order book snapshots (L1 top-of-book or L2 depth)

get_ohlcvC

Get aggregated OHLCV candlestick data (1m, 15m, 1h, 1d intervals)

get_multi_tradesA

Get consolidated trade data across multiple exchanges

get_option_quotesA

Get options market data including Greeks (delta, gamma, vega, theta) and implied volatility

get_histodayA

Get daily OHLCV data (CryptoCompare-compatible format)

get_histohourB

Get hourly OHLCV data (CryptoCompare-compatible format)

get_histominuteA

Get minute-level OHLCV data (CryptoCompare-compatible format)

get_ob_l1_topB

Get L1 order book top-of-book (best bid/ask)

get_ob_l2_snapshotB

Get L2 order book snapshot with configurable depth

stream_realtimeB

Get real-time market data stream (polling-based, returns recent data)

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 12 tools

Disambiguation2/5

Multiple tools overlap significantly: get_orderbooks, get_ob_l1_top, and get_ob_l2_snapshot all provide order book data, while get_ohlcv, get_histoday, get_histohour, and get_histominute all return OHLCV data at different intervals. get_trades and get_multi_trades also overlap, making it unclear which tool to select without reading detailed descriptions.

Naming Consistency3/5

All tools use the get_ prefix, which is consistent, but the object naming is inconsistent: get_ohlcv versus get_histoday/hour/minute, get_orderbooks versus get_ob_l1_top, and get_trades versus get_multi_trades. The abbreviations (ob, l1, l2) and inconsistent use of 'multi_' create mixed conventions that are readable but not uniform.

Tool Count4/5

With 12 tools, the count is within the typical well-scoped range for a market data server. However, several tools duplicate functionality (e.g., order book variants, OHLCV variants), which makes the count feel slightly inflated—a leaner set of 8-9 tools would be more appropriate.

Completeness4/5

The surface covers the major data types: instruments, trades, order books, OHLCV, options quotes, and real-time streaming. There are no obvious dead ends for historical or real-time market data, though the duplication of OHLCV and order book tools suggests the API is not optimally organized.

Maintenance

ActivityInactive
ResponsivenessNo issues