MCP Server

Assistant Hub

io.rmassistanthub/assistant-hub
Crypto & Web3 Finance & Investing Public & reachable MCP 2026-07-28

What this MCP does

Provides crypto market research, ranked setups, trading-skill manifests, historical strategy analysis, forecasts, signals, and limited on-chain commentary.

best_setups
Up to eight ranked setups for one window (1m, 1h, 1d, 1w or 1y), each with its score, the scored inputs, why now, what would invalidate it, a risk posture and an as-of time. Deterministic: no LLM touches the score. An empty window says why. The ranking has no proven edge yet: see get_setups_track_record. Free.
Input schema
{'type': 'object', 'properties': {'window': {'enum': ['1m', '1h', '1d', '1w', '1y'], 'type': 'string', 'description': 'Time window (default 1d)'}}}
get_forecast
Get AI-powered price forecast for a coin: SMA, RSI, Bollinger Bands, and narrative.
Input schema
{'type': 'object', 'required': ['coin'], 'properties': {'coin': {'type': 'string', 'description': 'Coin symbol (BTC, ETH, SOL, etc.)'}}}
get_setups_track_record
How the desk's past setups turned out, per window: every published card graded as a buy over its window's horizon, close to close from exchange candles, against BTC over the same span. Hit rate withheld below 30 graded calls; the method is in the payload. Free.
Input schema
{'type': 'object', 'properties': {}}
get_skill_regime
Whether a skill may open a position on each of its pairs now: the pair's regime from closed hourly bars, whether the skill allows it, whether the bars are fresh, and whether the skill is halted. Call before every new position. Free.
Input schema
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'Skill id'}, 'pair': {'type': 'string', 'description': "One pair, e.g. BTC (default: all the skill's pairs)"}}}
get_trading_skill
One skill's full manifest (rules, parameters with bounds, risk contract, allowed regimes, engine config) and its card: the rules run on stored hourly bars before and since listing, next to buy-and-hold, with drawdown and round trips won after fees. Free.
Input schema
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'Skill id'}}}
get_whale_intel
AI commentary on recent Etherscan transfers plus macro context. The on-chain input is narrow: for ETH, one well-known wallet's latest transactions; for LINK, the token contract's latest transfers; neither is size-filtered or market-wide. Other coins get no on-chain data, and the answer says so.
Input schema
{'type': 'object', 'properties': {'coin': {'type': 'string', 'description': 'Coin symbol to analyze (default: ETH)'}}}
install_trading_skill
The installable bundle for a skill, pinned to its hash: manifest, run loop and risk contract. Installs for paper trading; live trading needs the owner to arm it. Free.
Input schema
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'Skill id'}}}
list_trading_skills
Installable trading skills: versioned, hashed rule sets an agent runs on paper in its own loop. Each lists its label (experimental, forward-tested, proven, halted), the regimes it may trade in, its pairs and install count. Also lists community uploads: unverified, paper-only, no card. Free.
Input schema
{'type': 'object', 'properties': {}}
pulse_deep_dive
Deep-dive on the current Daily Macro Pulse, written by an AI from the pulse text alone: for each opportunity, the reasoning, what would invalidate it, risk level, catalysts to watch and a trade thesis framed as conditions to check. It has no on-chain, whale, order-book or live price data and says so rather than inventing any. Premium — x402 $0.30.
Input schema
{'type': 'object', 'properties': {}}
research_coin
Run the 3-agent orchestration pipeline (Sentiment: Grok, Technical: Groq, Synthesis: Gemini; Gemini stands in when Grok or Groq is unavailable) on a crypto research question.
Input schema
{'type': 'object', 'required': ['question'], 'properties': {'coins': {'type': 'array', 'items': {'type': 'string'}, 'description': "Coin symbols to focus on (e.g. ['BTC', 'ETH'])"}, 'question': {'type': 'string', 'description': 'Research question to analyze'}}}
search_signals
Browse community trade signals and how they resolved (win/loss is checked against CoinGecko prices at expiry). Signals whose creator anchored them on Base carry an on-chain transaction hash; the rest do not. Signals appear here an hour after they are posted. Filter by coin and status.
Input schema
{'type': 'object', 'properties': {'coin': {'type': 'string', 'description': 'Filter by coin (optional)'}, 'limit': {'type': 'number', 'description': 'Max results (default 20)'}, 'status': {'enum': ['active', 'resolved'], 'type': 'string', 'description': 'Signal status'}}}
strategy_analysis
Strategy Lab: backtest a trading strategy on historical OHLCV plus Monte Carlo and Walk-Forward robustness analysis. Strategies: dca, grid, momentum, custom. Premium — x402 $0.50.
Input schema
{'type': 'object', 'required': ['coin', 'strategy'], 'properties': {'to': {'type': 'string', 'description': 'End date/epoch (optional)'}, 'coin': {'type': 'string', 'description': 'Coin symbol (BTC, ETH, SOL, ...)'}, 'from': {'type': 'string', 'description': 'Start date/epoch (optional)'}, 'params': {'type': 'object', 'description': 'Strategy params: capital, fee %, periods, grid levels, etc.'}, 'strategy': {'enum': ['dca', 'grid', 'momentum', 'custom'], 'type': 'string', 'description': 'Strategy id'}}}
Added
search_signals
Oct. 4, 2026, 2:40 a.m.
Added
get_skill_regime
Oct. 4, 2026, 2:40 a.m.
Added
install_trading_skill
Oct. 4, 2026, 2:40 a.m.
Added
get_trading_skill
Oct. 4, 2026, 2:40 a.m.
Added
list_trading_skills
Oct. 4, 2026, 2:40 a.m.
Added
get_setups_track_record
Oct. 4, 2026, 2:40 a.m.
Added
best_setups
Oct. 4, 2026, 2:40 a.m.
Added
pulse_deep_dive
Oct. 4, 2026, 2:40 a.m.
Added
strategy_analysis
Oct. 4, 2026, 2:40 a.m.
Added
get_whale_intel
Oct. 4, 2026, 2:40 a.m.
Added
get_forecast
Oct. 4, 2026, 2:40 a.m.
Added
research_coin
Oct. 4, 2026, 2:40 a.m.