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Krypto & Web3 Finanzen & Investieren Öffentlich und erreichbar MCP 2026-07-28

Was dieses MCP kann

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.
Eingabeschema
{'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.
Eingabeschema
{'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.
Eingabeschema
{'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.
Eingabeschema
{'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.
Eingabeschema
{'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.
Eingabeschema
{'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.
Eingabeschema
{'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.
Eingabeschema
{'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.
Eingabeschema
{'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.
Eingabeschema
{'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.
Eingabeschema
{'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.
Eingabeschema
{'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'}}}
Hinzugefügt
search_signals
4. October 2026 02:40
Hinzugefügt
get_skill_regime
4. October 2026 02:40
Hinzugefügt
install_trading_skill
4. October 2026 02:40
Hinzugefügt
get_trading_skill
4. October 2026 02:40
Hinzugefügt
list_trading_skills
4. October 2026 02:40
Hinzugefügt
get_setups_track_record
4. October 2026 02:40
Hinzugefügt
best_setups
4. October 2026 02:40
Hinzugefügt
pulse_deep_dive
4. October 2026 02:40
Hinzugefügt
strategy_analysis
4. October 2026 02:40
Hinzugefügt
get_whale_intel
4. October 2026 02:40
Hinzugefügt
get_forecast
4. October 2026 02:40
Hinzugefügt
research_coin
4. October 2026 02:40