Ask Claude *"Is SOL set up for a swing trade?"* and it fetches live data from Binance, runs a full indicator suite, scores it, and delivers a
Ask Claude "Is SOL set up for a swing trade?" and it fetches live data from Binance, runs a full indicator suite, scores it, and delivers a grounded bull/bear
You will need one environment variable: ANTHROPIC_API_KEY. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Cryptoscholar's toolset — watchlist_add, watchlist_remove, watchlist_show and 11 more — is a fair guide to whether it matches your workflow. It is maintained by cryptographer11; worth a glance at recent repository activity before you build anything load-bearing on it.
watchlist_add — Add symbols to a named list (creates the list if needed)watchlist_remove — Remove symbols; also clears their alertswatchlist_show — Show all symbols + configured alerts for a listwatchlist_lists — List all named watchlists with symbol countswatchlist_scan — Run a full TSS analysis on every coin in the list — parallel digest viewalert_set — Set a tss_above, tss_below, or regime_change alert on any symbolalert_check — Fetch live TA for all alerted symbols, report which alerts fired, update baselineanalyze_coin — Full technical analysis snapshot for any coin. Fetches 300 days of real OHLCV candles from Binance (with CoinGecko fallback) and computes:rank_coins — Pass a list of symbols and get them back ranked by TSS. Runs in parallel (up to 8 workers) for fast results on large lists. Each result includes TSS, regime, EMA alignment, 4H MTF alignment, RSI divergence, OBV trend, futop_coins — No symbol list needed. Fetches the top 50 coins by market cap from CoinGecko and returns them ranked by TSS. Smart filtering automatically removes: - Stablecoins (USDT, USDC, DAI, etc.) - Wrapped / synthetic tokens (WBTCcorrelate_coins — Compute pairwise Pearson correlation of 30-day daily returns across 2–20 coins. Returns the full correlation matrix, high-correlation clusters (>0.85), and uncorrelated pairs (<0.30) — useful for portfolio diversificatiomarket_context — Macro market signals to frame individual coin analysis. Uses CoinGecko global data, DefiLlama stablecoin supply, and Alternative.me Fear & Greed Index. Returns:debate — Claude reads the live TA data and generates a structured bull/bear debate grounded in actual indicator values — not hallucinated opinion. Returns: - Bull case — what the technicals say in favour - Bear case — whatrain_regime_model — Manually trigger a retrain of the HMM volatility regime model on fresh BTC price history. The model auto-retrains every 7 days automatically — use this after a major market structure shift to force an immediate update. AThis listing has no verified copy-paste launch configuration. Use the project documentation to confirm the entry point, runtime and authentication before registering it in your MCP client. A package name or repository alone is not a runnable configuration.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| watchlist_add | Add symbols to a named list (creates the list if needed) |
| watchlist_remove | Remove symbols; also clears their alerts |
| watchlist_show | Show all symbols + configured alerts for a list |
| watchlist_lists | List all named watchlists with symbol counts |
| watchlist_scan | Run a full TSS analysis on every coin in the list — parallel digest view |
| alert_set | Set a tss_above, tss_below, or regime_change alert on any symbol |
| alert_check | Fetch live TA for all alerted symbols, report which alerts fired, update baseline |
| analyze_coin | Full technical analysis snapshot for any coin. Fetches 300 days of real OHLCV candles from Binance (with CoinGecko fallback) and computes: |
| rank_coins | Pass a list of symbols and get them back ranked by TSS. Runs in parallel (up to 8 workers) for fast results on large lists. Each result includes TSS, regime, EMA alignment, 4H MTF alignment, RSI divergence, OBV trend, fu |
| top_coins | No symbol list needed. Fetches the top 50 coins by market cap from CoinGecko and returns them ranked by TSS. Smart filtering automatically removes: - Stablecoins (USDT, USDC, DAI, etc.) - Wrapped / synthetic tokens (WBTC |
| correlate_coins | Compute pairwise Pearson correlation of 30-day daily returns across 2–20 coins. Returns the full correlation matrix, high-correlation clusters (>0.85), and uncorrelated pairs (<0.30) — useful for portfolio diversificatio |
| market_context | Macro market signals to frame individual coin analysis. Uses CoinGecko global data, DefiLlama stablecoin supply, and Alternative.me Fear & Greed Index. Returns: |
| debate | Claude reads the live TA data and generates a structured bull/bear debate grounded in actual indicator values — not hallucinated opinion. Returns: - **Bull case** — what the technicals say in favour - **Bear case** — wha |
| train_regime_model | Manually trigger a retrain of the HMM volatility regime model on fresh BTC price history. The model auto-retrains every 7 days automatically — use this after a major market structure shift to force an immediate update. A |
{
"mcpServers": {
"cryptoscholar": {
"command": "python",
"args": [
"-m",
"cryptoscholar"
],
"env": {
"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| ANTHROPIC_API_KEY | Declared in the maintainer’s client configuration. | Yes |
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