Crypto Quant Signal MCP
AI trading brain for crypto perps — composite signals, funding rate arb scanning, and market regime detection via MCP
Install / Use
npx skills add AlgoVaultLabs/crypto-quant-signal-mcpInstalls into whichever agent you are using.
Quality Score
Category
Development & EngineeringSupported Platforms
README
Quick start (30 seconds)
No code. No API key. No install. The server speaks Streamable HTTP at https://api.algovault.com/mcp — any Model Context Protocol client connects directly.
1. Add the connector. In Claude → Settings → Connectors → Add custom connector:
| Field | Value |
|---|---|
| Name | Crypto Quant Signal |
| URL | https://api.algovault.com/mcp |
2. Ask for a call. In plain language:
"Get me a trade call for ETH on the 4h timeframe"
Your Claude now has a quant analyst built in. Prefer local? Run npx -y crypto-quant-signal-mcp.
Running locally on npm 12+? npm v12 disables dependency install scripts by default. AlgoVault's optional local SQLite mode uses the native
better-sqlite3module — if you install it into a project, runnpm approve-scripts(ornpm install --allow-scripts) to build it. The hosted HTTP transport (api.algovault.com/mcp) needs no local build.
What one call returns
One API call. One verdict. Not 8 raw indicators. get_trade_call returns a directional BUY / SELL / HOLD with a confidence score and the detected market regime — a composite verdict, not a data dump for your agent to interpret.
Under the hood, a self-tuning model fuses momentum, trend structure, derivatives positioning, open interest, and volume into one weighted call. Every call reports market regime — trending, ranging, or volatile — alongside direction and confidence. Directional calls fire only when conviction clears the threshold; roughly 99% of evaluations return HOLD.
{
"call": "BUY",
"confidence": 78,
"price": 84250.50,
"indicators": {
"funding_rate": 0.0001,
"funding_24h_avg": 0.00008,
"funding_state": "NORMAL",
"oi_change_pct": 2.4,
"volume_24h": 2381602633,
"trend_persistence": "HIGH",
"breakout_pending": "INACTIVE"
},
"regime": "TRENDING_UP",
"reasoning": "Trending regime, upward bias. Funding pressure mild. Volatility neither expanding nor compressed. Trend persistence elevated; momentum structure. Strong conviction from aligned signals.",
"timestamp": 1712764800,
"coin": "BTC",
"timeframe": "1h",
"also_see": [
{ "coin": "ETH", "timeframe": "1h", "confidence": 82 },
{ "coin": "SOL", "timeframe": "15m", "confidence": 73 }
],
"_algovault": {
"version": "1.26.0",
"tool": "get_trade_call",
"compatible_with": ["crypto-quant-risk-mcp", "crypto-quant-backtest-mcp"]
}
}
The _algovault block makes outputs composable: downstream risk and backtest tools accept the object directly.
Live, verifiable track record
<!-- SoT: this README is the single canonical source. The data-tr-field numbers below are auto-injected from live /api/performance-public + /api/merkle-batches by scripts/snapshot-landing-data.mjs at npm-publish + Hetzner-deploy. Do NOT hand-edit the numbers; edit "What's new" by hand. Wired by OPS-NPM-README-SINGLE-SOT-W1 (2026-05-31). --> <p align="center"> <strong><span data-tr-field="pfe_wr">91.7%</span> PFE Win Rate</strong> · <strong><span data-tr-field="total_calls">134,276</span> trade calls</strong> · <strong><span data-tr-field="merkle_batches">50</span> on-chain batches</strong> · <strong><span data-tr-field="hold_rate">99.2%</span> HOLD rate</strong> <!-- SNAPSHOT-LINE --> </p> <p align="center"> Every call is hashed at emission and anchored on <a href="https://docs.base.org">Base L2</a> in daily Merkle batches. We cannot edit history. </p>The full record is public and on-chain — no cherry-picking, no survivorship bias:
- Live dashboard — algovault.com/track-record
- Merkle batch verifier — algovault.com/verify
- Anchor contract on Base L2 —
0x6485…0f81 - All batches (raw JSON) — api.algovault.com/api/merkle-batches
AlgoVault is also a verified agent on the ERC-8004 Identity Registry (Base L2), agentId 44544 — a portable, on-chain handle AI orchestrators can resolve.
Works with your stack
AlgoVault is drop-in for every MCP-spec client, every major agent framework, and every official exchange Agent Trade Kit — no SDK, no wrapper. It serves Streamable HTTP at https://api.algovault.com/mcp; tools/list + resources/list is the API surface.
MCP clients.
| Client | Config |
|---|---|
| Claude Desktop | Settings → Connectors → Add custom connector → https://api.algovault.com/mcp |
| Claude Code (CLI) | claude mcp add crypto-quant-signal https://api.algovault.com/mcp |
| Cursor | ~/.cursor/config.json → mcpServers block → url: "https://api.algovault.com/mcp" |
| Cline | VS Code Cline extension → MCP server settings → add Streamable HTTP server |
| Codex (OpenAI CLI) | ~/.codex/config.toml → [mcp_servers.algovault] table + url = "https://api.algovault.com/mcp" (or codex mcp CLI) |
| Windsurf | ~/.codeium/windsurf/mcp_config.json → mcpServers.algovault.serverUrl = "https://api.algovault.com/mcp" |
| Continue.dev | config.yaml → mcpServers: [{ name: algovault, type: streamable-http, url: "https://api.algovault.com/mcp" }] |
| Any other MCP-spec-compliant client | Configure the Streamable HTTP transport with URL https://api.algovault.com/mcp |
Agent frameworks. First-party tutorials pair AlgoVault with each framework's canonical MCP adapter — copy-pasteable demo code, no SDK.
| Framework | Tutorial | Runnable demo | Mirror |
|---|---|---|---|
| LangChain | docs/integrations/langchain.md | examples/langchain/demo.py | algovault.com/integrations/langchain |
| LlamaIndex | docs/integrations/llamaindex.md | examples/llamaindex/demo.py | algovault.com/integrations/llamaindex |
| Microsoft Agent Framework | docs/integrations/maf.md | examples/maf/demo.py | algovault.com/integrations/maf |
| CrewAI | docs/integrations/crewai.md | examples/crewai/demo.py | algovault.com/integrations/crewai |
Each demo is runnable as python examples/<framework>/demo.py BTC 4h — gets a re
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