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Cryptoscholar MCP Server

@cryptographer11

Repository

Basic information

Category

Finance & Commerce

Transports

stdio

Author

cryptographer11

Submitted by

Jonathan Nathan

About Cryptoscholar MCP Server

Crypto technical analysis inside Claude. Ask about any coin — get live TA from Binance (EMA, RSI, MACD, ADX, Bollinger Bands, TSS score), macro market context (BTC dominance, ARS, MRS), coin ranking, and a grounded bull/bear debate. No API key needed except for the debate tool.

#crypto#technical-analysis#trading#bitcoin#binance#defi#finance

Cryptoscholar MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "cryptoscholar": {
      "command": "cryptoscholar",
      "env": {
        "ANTHROPIC_API_KEY": "your-key-here"
      }
    }
  }
}

Cryptoscholar MCP Server tools

4

Full TA snapshot: EMA-20/50/200, RSI-14, MACD, ADX-14, ATR, Bollinger Bands, Historical Volatility, and TSS composite score (0–100). Data from Binance (CoinGecko fallback).

Rank a watchlist by Trend Strength Score. Pass a list of symbols, get them back sorted with full TA data.

Macro signals: BTC dominance trend, ETH/BTC ratio, TOTAL3 altcoin market cap, stablecoin supply (DefiLlama), ARS (Altcoin Rotation Score), MRS (Market Readiness Score).

Grounded bull/bear debate from live indicator values. Returns bull case, bear case, and a one-sentence bottom line.

Overview

What is Cryptoscholar?

Cryptoscholar is an MCP server that brings crypto technical analysis directly into Claude. It provides a suite of tools for coin analysis, ranking, market context, and bull/bear debates, pulling live data from Binance (with CoinGecko fallback) and DefiLlama. It is designed for traders and analysts who want to avoid switching between charts or copying data.

How to use Cryptoscholar?

Install the package with pip install cryptoscholar, then configure it as an MCP server in your Claude environment. Once connected, you can invoke any of the exposed tools—such as analyze_coin, rank_coins, market_context, or debate—directly through Claude’s interface.

Key features of Cryptoscholar

  • analyze_coin – Full TA snapshot with EMA, RSI, MACD, ADX, ATR, Bollinger Bands, Historical Volatility, and TSS composite score.
  • rank_coins – Rank a watchlist by Trend Strength Score with full TA data.
  • market_context – Macro signals: BTC dominance, ETH/BTC ratio, altcoin market cap, stablecoin supply, ARS, and MRS.
  • debate – Grounded bull/bear debate using live indicator values, returning both sides and a bottom line.

Use cases of Cryptoscholar

  • Analyze a single cryptocurrency’s technical health without leaving Claude.
  • Compare and rank a list of coins by trend strength for portfolio decisions.
  • Assess market-wide sentiment and rotation readiness before entering trades.
  • Get a balanced bull/bear perspective on any coin using live data.

Frequently asked questions

1

What data sources does Cryptoscholar use?

Data is primarily sourced from Binance, with CoinGecko as a fallback. Market context data (stablecoin supply, etc.) comes from DefiLlama.

2

Which technical indicators are included in the analyze_coin tool?

The tool returns EMA-20/50/200, RSI-14, MACD, ADX-14, ATR, Bollinger Bands, Historical Volatility, and the Trend Strength Score (TSS, 0–100).

3

How do I install Cryptoscholar?

Install it via pip: `pip install cryptoscholar`. No additional configuration is required beyond setting up the MCP server in Claude.

4

Can I analyze multiple coins at once?

Yes, use the `rank_coins` tool. Pass a list of coin symbols, and it returns them sorted by Trend Strength Score with full technical analysis data.

5

Does Cryptoscholar provide broader market context?

Yes, the `market_context` tool delivers macro signals including BTC dominance trend, ETH/BTC ratio, TOTAL3 altcoin market cap, stablecoin supply, Altcoin Rotation Score (ARS), and Market Readiness Score (MRS).

Comments

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