Finturb Investment Signals

FinTurb Analytics MCP Server

Institutional-grade risk analytics for AI assistants.

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Overview

FinTurb Analytics is a remote Model Context Protocol (MCP) server that exposes institutional-grade quantitative risk analytics — composite risk regimes, three-tier systemic fragility alerts, Markov regime transition probabilities, GDELT-derived media sentiment across 27+ assets, a global liquidity index with regional decomposition, and a statistical arbitrage scanner covering 550+ securities — as structured tools any MCP-compliant AI assistant can call autonomously during a conversation.

Quick start

Server URL:    https://mcp-mkic.pythonanywhere.com/mcp
Transport:     Streamable HTTP (SSE-compatible)
Auth:          None required — IP-based rate limiting
Free tier:     50 calls / 48 hours
Premium:       https://www.finturb.com/subscribe

No account, no API key, no installation — paste the URL into any MCP-compatible client and start asking questions.

Setup

Client	Guide
Claude.ai (web)	docs/setup-claude.md
ChatGPT (Developer Mode)	docs/setup-chatgpt.md
Claude Desktop (macOS / Windows)	docs/setup-claude-desktop.md
Claude Code (CLI)	docs/setup-claude-code.md

Output contract

Every tool response follows the same shape so an AI can reason from the summary line alone, verify numbers in the structured body, and decide how much to trust the response from the provenance flag.

{
  "summary":         "3-way risk 18.4/100 — regime normal (1d). 4-way 27.0/100 …",
  "generation_mode": "deterministic",
  "...": "structured fields",
  "file_modified":   "2026-04-14T03:41:01Z"
}

• summary — one-line human-readable headline.
• generation_mode — deterministic for pure data reads, synthesized for payloads containing LLM-generated text or multi-pillar synthesis.
• file_modified — ISO timestamp of the underlying data file so callers can assess freshness at the point of use.

Tool reference

Full machine-readable list in tools.json; detailed descriptions in docs/tool-reference.md.

Composite risk monitor

Tool	One-liner
get_risk_score	Composite risk score (0–100) with regime, decomposition, and 4-way liquidity-gated extension.
get_risk_history	Daily risk score, regime label, and duration for the last N days.
get_conditional_returns	Historical return statistics by regime per core asset (5d / 21d horizons).
get_interaction_table	2×2×2 conditional returns table across three signal dimensions for a given asset.

Financial turbulence

Tool	One-liner
get_turbulence_score	Daily and 10-day rolling turbulence percentiles with regime labels.
get_transition_probabilities	Markov transition matrices for daily and rolling turbulence states.
get_signal_dates	Historical bearish (Type A) and bullish (Type B) signal dates with outcomes.

Systemic fragility

Tool	One-liner
get_absorption_ratio	Three-tier fragility alert system (30d Watch / 60d Warning / 90d Crisis).
get_fragility_loadings	30-day fragility history tail — aggregate time series.
get_pc_loadings_history	Per-asset PC1/PC2 eigenvector loadings across 30/60/90-day windows.

Media sentiment

Tool	One-liner
get_media_sentiment	Per-asset tone, volume, and composite signal (27+ assets).
get_sentiment_heatmap	Full sentiment ranking across every tracked asset.
get_sentiment_alerts	Only assets with
get_geopolitical_tone	Goldstein-scale global geopolitical tension indicator.

Global liquidity

Tool	One-liner
get_global_liquidity	GLI (0–100) composite with PLI / PSI / XFI sub-indices and cycle phase.
get_liquidity_history	Monthly GLI + sub-indices time series with cycle phase per observation.
get_regional_liquidity	Per-region liquidity readings (US, Eurozone, China, Japan, UK).

Statistical arbitrage

Tool	One-liner
get_oversold_opportunities	Oversold candidates ranked by composite opportunity score.
get_overbought_opportunities	Overbought candidates ranked by composite opportunity score.
get_ticker_metrics	Full 16-field quantitative profile for any of 550+ tickers.
get_stat_arb_summary	Universe-wide oversold/overbought counts plus top 5 each direction.

AI-generated intelligence (synthesized)

Tool	One-liner
get_market_briefing	One-call cross-pillar synthesis.
get_gpt_commentary	GPT-4o narrative commentary on transitions and daily asset moves.
get_signal_strategist	Dashboard-grade snapshot with 4-way liquidity gate.

Supporting analytics

Tool	One-liner
get_periodic_returns	Annual returns for 20 asset classes (2018–present).
get_stablecoin_scorecard	RAG assessment across 10 dimensions per major stablecoin.

Resources

Compliant clients (Claude Desktop, Claude Code, Cursor) can pin these documents into the conversation context so the model doesn't need to re-issue tool calls.

• finturb://daily/risk-snapshot — today's composite risk score + 4-way liquidity-gated extension (deterministic)
• finturb://daily/market-brief — today's cross-pillar market briefing (synthesized)
• finturb://methodology/overview — static reference covering the eight pillars, data sources, and the output contract

Example conversations

Three worked examples live in examples/:

• example-market-briefing.md — "Give me a full market briefing."
• example-oversold-scan.md — "What's cheap right now and likely to bounce back?"
• example-risk-assessment.md — "How risky are markets right now compared to last week?"

Rate limits

Tier	Quota	Notes
Anonymous	50 calls / 48 h	IP-based, no account required.
Premium	Unlimited	Bearer token. Subscribe.
Institutional	Unlimited	Custom arrangements — contact [email protected].

Data freshness

All FinTurb analytics are refreshed daily on a scheduled pipeline running between 00:05 and 04:05 UTC, drawing from established primary sources — market data, macro statistics, and open-source news datasets. Most signals reflect the previous market close (T+0); a small number carry a one-day publication lag or mixed recency where the underlying macro series are published weekly to quarterly. Every MCP tool response carries a file_modified ISO timestamp so callers can verify freshness at the point of use. Signal methodologies and inputs are proprietary to AI IntelliCore Limited.

About AI IntelliCore

AI IntelliCore Limited is a Cyprus-registered quantitative analytics firm building institutional-grade risk intelligence for AI-native workflows. Learn more at finturb.com and riskregime.com.

Support

• Email: [email protected]
• Issues: github.com/ai-intellicore/finturb-mcp/issues
• Website: finturb.com/mcp-access

License

Proprietary. See LICENSE for terms.

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© 2026 AI IntelliCore Limited. FinTurb and the AI IntelliCore logo are trademarks of AI IntelliCore Limited. The Model Context Protocol is a trademark of Anthropic PBC.