# AlgoVault — Crypto Quant Trade Calls MCP server

The Brain Layer for AI Trading Agents — quant calls + cross-venue arb across 5 exchanges via MCP.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-algovaultfi-crypto-quant-signal-mcp
- Repository: https://github.com/AlgoVaultLabs/crypto-quant-signal-mcp
- Website: https://algovault.com

## Install
- Command: `npx -y crypto-quant-signal-mcp`
- Endpoint: https://api.algovault.com/mcp
- Auth: Not captured

## Setup notes
- Package: Npm crypto-quant-signal-mcp v1.14.0
- Remote endpoint: https://api.algovault.com/mcp

## Tools
- 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; for a whole-market scan use scan_trade_calls, for US stocks use get_equity_call. Read-only: reads live exchange APIs, no orders. Verified track record, on-chain verified merkle anchor. Endpoint: https://api.algovault.com/mcp
- 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; for a whole-market scan use scan_trade_calls, for US stocks use get_equity_call. Read-only: reads live exchange APIs, no orders. Verified track record, on-chain verified merkle anchor. [ALIAS] This tool is an alias of get_trade_call — same behavior, kept for backward compatibility. Endpoint: https://api.algovault.com/mcp
- 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 blends trend ranging and cross-venue funding rate sentiment. For a US equity use get_equity_regime. Read-only, live exchange APIs. Verified track record, on-chain verified merkle anchor. Endpoint: https://api.algovault.com/mcp
- 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 for crypto quant and Claude trading agents. Trade call via get_trade_call, market regime via get_market_regime. On-chain verified merkle anchor. Endpoint: https://api.algovault.com/mcp
- 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; use get_trade_call for per-coin depth and reasoning. Read-only: reads live exchange APIs, places no orders. Endpoint: https://api.algovault.com/mcp
- get_equity_call - Returns a daily-bar BUY/SELL/HOLD trade call for a US stock or ETF — verdict, confidence, market regime, and the technical factors behind it — from Databento EQUS.MINI daily bars. Universe = top US equities by dollar-volume plus index and crypto-proxy ETFs (SPY, QQQ, IBIT); an out-of-universe ticker returns a structured SYMBOL_NOT_IN_UNIVERSE error with nearest-symbol suggestions (accepts BRK-B or BRK.B). Defaults to the stock read; naming a crypto exchange or timeframe routes to the perpetual-futures call instead — for crypto or tokenized-stock perps, use get_trade_call. Read-only: reads a live market-data API, places no orders. Endpoint: https://api.algovault.com/mcp
- get_equity_regime - Returns the market regime for a US stock or ETF — trending_up, trending_down, compression, or ranging, with a confidence score — derived from daily-bar trend strength (ADX/DI), persistence (Hurst), and volatility compression. Defaults to SPY. For a crypto regime use get_market_regime instead. Read-only: reads a live market-data API. Endpoint: https://api.algovault.com/mcp
- 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 you need an explanation, code pattern, or how-to; for raw ranked snippets without LLM synthesis use search_knowledge (faster, no quota cost). Read-only: calls an LLM, no other side effects. Quota: Free 10/month, Starter 50, Pro 200, Enterprise 2000. Endpoint: https://api.algovault.com/mcp
- 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 this BEFORE other tool calls to confirm parameter usage and avoid hallucinating tool shapes. Fast: BM25 lexical search, no LLM call, no quota cost. For a synthesized natural-language answer use chat_knowledge. Read-only, no side effects. Endpoint: https://api.algovault.com/mcp

## Resources
- analytics://usage-stats - Request analytics — call counts, tool breakdown, tier distribution, top assets, response times. Requires Pro or higher.
- performance://signal-performance - Signal track record — PFE win rates by timeframe, asset, tier, and signal type. Measures whether price moved in the signal direction during the evaluation window.
- mcp://algovault/venues - Per-venue lifecycle state machine: shadow / promoted / retired. Each venue carries asset_count, integration + lifecycle timestamps (integrated_at / promoted_at / retired_at), and extension_count. New venues default to 'shadow' (experimental — not yet on the public /track-record dashboard) and are flagged ready-for-promotion when PFE WR clears the internal bar; an operator launches the promotion. Agents querying with a shadow venue's exchange_id should surface an 'experimental' caveat to the end user. MIME type: application/json
- analytics://skills - Per-Skill invocation counters (calls_24h, calls_7d, calls_all_time, first/last seen) for the algovault-skills plugin. Public — slug-level aggregates only.
- algovault://knowledge/latest - AlgoVault knowledge bundle (latest version) — every MCP tool description, response shape, integration tutorial, and code example, indexed for LLM consumption. MIME type: application/json
- algovault://knowledge/algovault-knowledge-v1.23.0 - AlgoVault knowledge bundle for v1.23.0 (version-pinned). MIME type: application/json

## Prompts
Not captured

## Metadata
- Owner: io.github.AlgoVaultFi
- Version: 1.20.0
- Runtime: Npm
- Transports: STDIO, HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 4, 2026
- Source: https://registry.modelcontextprotocol.io