AlgoVault Quant Signal MCP

Overview

AlgoVault's MCP server (remote and npm, listed in the official MCP Registry) exposes quantitative research tools for crypto perpetuals: buy/sell/hold research signals, cross-venue funding-rate arbitrage scans, and market-regime classification. An agent builder plugs it in to feed a trading or research agent structured market context. Signals are research output, not verified performance — validate before acting on them.

Tool inventory — 8 tools, probed live 2026-08-30

• get_trade_call — Returns a composite verdict — BUY SELL HOLD trade call with confidence and market regime — for one crypto or tokenized-stock perpetual futures. One asset only; whole-market scan: scan_trade_calls. Rea
• get_trade_signal — Returns a composite verdict — BUY SELL HOLD trade call with confidence and market regime — for one crypto or tokenized-stock perpetual futures. One asset only; whole-market scan: scan_trade_calls. Rea
• get_market_regime — Returns the market regime — TRENDING_UP TRENDING_DOWN RANGING VOLATILE — with confidence and a strategy hint, for one crypto perpetual futures. Composite verdict: trend ranging + cross-venue funding r
• scan_funding_arb — Ranked cross-venue funding arbitrage across major crypto perpetual futures venues — funding rate spreads, long one venue short another, as a BUY SELL HOLD composite verdict per pair. AI trading signal
• scan_trade_calls — Returns ranked BUY SELL HOLD trade calls across the top crypto perpetual futures by open interest — one scan for whole-market coverage, each with confidence and market regime. Use this for breadth; us
• chat_knowledge — Returns a synthesized natural-language answer with citations, grounded in the AlgoVault knowledge bundle (every MCP tool description, response shape, integration tutorial, and code example). Use when
• search_knowledge — Returns ranked snippets from the AlgoVault knowledge bundle answering a question about its MCP tools, response shapes, integration patterns (LangChain, LlamaIndex, MAF, CrewAI), or code examples. Call
• get_track_record — Returns the AlgoVault track record — aggregated PFE win rates by call type, timeframe and asset tier, plus the evaluation methodology and window. The same verified aggregate the performance://signal-p

Live probe verifies the interface responds — not what the tools do, their safety, or their output quality.

Where AlgoVault Quant Signal MCP fits

Related concepts: How Agents Interact With Smart Contracts, How Agents Use Wallets, What Are MCPs? The Standard Way to Give Agents Tools