Crypto Indicators MCP Server

# Crypto Indicators MCP Server An MCP server providing a range of cryptocurrency technical analysis indicators and strategies, empowering AI trading agents to efficiently analyze market trends and develop robust quantitative strategies. For more crypto-related MCP servers, see the [Kukapay MCP servers](https://github.com/kukapay/kukapay-mcp-servers). [](https://opensource.org/licenses/MIT) [](https://nodejs.org/)  ## Features - **Technical Indicators**: 50+ indicators across trend, momentum, volatility, and volume categories. - **Trading Strategies**: Corresponding strategies outputting signals: `-1` (SELL), `0` (HOLD), `1` (BUY). - **Flexible Data Source**: Defaults to Binance, configurable to any `ccxt`-supported exchange. - **Modular Design**: Indicators and strategies are categorized for easy maintenance. ## Installation ### Prerequisites - [Node.js](https://nodejs.org/) (v18.x or higher) - npm (v8.x or higher) ### Steps 1. **Clone the Repository**: ```bash git clone https://github.com/kukapay/crypto-indicators-mcp.git cd crypto-indicators-mcp ``` 2. **Install Dependencies**: ```bash npm install ``` 3. **Configure MCP Client**: To use this server with an MCP client like Claude Desktop, add the following to your config file (or equivalent): ```json { "mcpServers": { "crypto-indicators-mcp": { "command": "node", "args": ["path/to/crypto-indicators-mcp/index.js"], "env": { "EXCHANGE_NAME": "binance" } } } } ``` ## Available Tools ### Trend Indicators - `calculate_absolute_price_oscillator`: Measures the difference between two EMAs to identify trend strength (APO). - `calculate_aroon`: Identifies trend changes and strength using high/low price extremes (Aroon). - `calculate_balance_of_power`: Gauges buying vs. selling pressure based on price movement (BOP). - `calculate_chande_forecast_oscillator`: Predicts future price movements relative to past trends (CFO). - `calculate_commodity_channel_index`: Detects overbought/oversold conditions and trend reversals (CCI). - `calculate_double_exponential_moving_average`: Smooths price data with reduced lag for trend detection (DEMA). - `calculate_exponential_moving_average`: Weights recent prices more heavily for trend analysis (EMA). - `calculate_mass_index`: Identifies potential reversals by measuring range expansion (MI). - `calculate_moving_average_convergence_divergence`: Tracks momentum and trend direction via EMA differences (MACD). - `calculate_moving_max`: Computes the maximum price over a rolling period (MMAX). - `calculate_moving_min`: Computes the minimum price over a rolling period (MMIN). - `calculate_moving_sum`: Calculates the sum of prices over a rolling period (MSUM). - `calculate_parabolic_sar`: Provides stop-and-reverse points for trend following (PSAR). - `calculate_qstick`: Measures buying/selling pressure based on open-close differences (Qstick). - `calculate_kdj`: Combines stochastic and momentum signals for trend analysis (KDJ). - `calculate_rolling_moving_average`: Applies a rolling EMA for smoother trend tracking (RMA). - `calculate_simple_moving_average`: Averages prices over a period to identify trends (SMA). - `calculate_since_change`: Tracks the time since the last significant price change. - `calculate_triple_exponential_moving_average`: Reduces lag further than DEMA for trend clarity (TEMA). - `calculate_triangular_moving_average`: Weights middle prices more for smoother trends (TRIMA). - `calculate_triple_exponential_average`: Measures momentum with triple smoothing (TRIX). - `calculate_typical_price`: Averages high, low, and close prices for a balanced trend view. - `calculate_volume_weighted_moving_average`: Incorporates volume into moving averages for trend strength (VWMA). - `calculate_vortex`: Identifies trend direction and strength using true range (Vortex). ### Momentum Indicators - `calculate_awesome_oscillator`: Measures market momentum using midline crossovers (AO). - `calculate_chaikin_oscillator`: Tracks accumulation/distribution momentum (CMO). - `calculate_ichimoku_cloud`: Provides a comprehensive view of support, resistance, and momentum (Ichimoku). - `calculate_percentage_price_oscillator`: Normalizes MACD as a percentage for momentum (PPO). - `calculate_percentage_volume_oscillator`: Measures volume momentum via EMA differences (PVO). - `calculate_price_rate_of_change`: Tracks price momentum as a percentage change (ROC). - `calculate_relative_strength_index`: Identifies overbought/oversold conditions via momentum (RSI). - `calculate_stochastic_oscillator`: Compares closing prices to ranges for momentum signals (STOCH). - `calculate_williams_r`: Measures momentum relative to recent high-low ranges (Williams %R). ### Volatility Indicators - `calculate_acceleration_bands`: Frames price action with dynamic volatility bands (AB). - `calculate_average_true_range`: Measures market volatility based on price ranges (ATR). - `calculate_bollinger_bands`: Encloses price action with volatility-based bands (BB). - `calculate_bollinger_bands_width`: Quantifies volatility via band width changes (BBW). - `calculate_chandelier_exit`: Sets trailing stop-losses based on volatility (CE). - `calculate_donchian_channel`: Tracks volatility with high/low price channels (DC). - `calculate_keltner_channel`: Combines ATR and EMA for volatility bands (KC). - `calculate_moving_standard_deviation`: Measures price deviation for volatility (MSTD). - `calculate_projection_oscillator`: Assesses volatility relative to projected prices (PO). - `calculate_true_range`: Calculates daily price range for volatility analysis (TR). - `calculate_ulcer_index`: Quantifies downside volatility and drawdowns (UI). ### Volume Indicators - `calculate_accumulation_distribution`: Tracks volume flow to confirm price trends (AD). - `calculate_chaikin_money_flow`: Measures buying/selling pressure with volume (CMF). - `calculate_ease_of_movement`: Assesses how easily prices move with volume (EMV). - `calculate_force_index`: Combines price and volume for momentum strength (FI). - `calculate_money_flow_index`: Identifies overbought/oversold via price-volume (MFI). - `calculate_negative_volume_index`: Tracks price changes on lower volume days (NVI). - `calculate_on_balance_volume`: Accumulates volume to predict price movements (OBV). - `calculate_volume_price_trend`: Combines volume and price for trend confirmation (VPT). - `calculate_volume_weighted_average_price`: Averages prices weighted by volume (VWAP). ### Trend Strategies - `calculate_absolute_price_oscillator_strategy`: Generates buy/sell signals from APO crossovers (APO Strategy). - `calculate_aroon_strategy`: Signals trend reversals using Aroon crossovers (Aroon Strategy). - `calculate_balance_of_power_strategy`: Issues signals based on BOP thresholds (BOP Strategy). - `calculate_chande_forecast_oscillator_strategy`: Predicts reversals with CFO signals (CFO Strategy). - `calculate_kdj_strategy`: Combines KDJ lines for trend-based signals (KDJ Strategy). - `calculate_macd_strategy`: Uses MACD crossovers for trading signals (MACD Strategy). - `calculate_parabolic_sar_strategy`: Signals trend direction with PSAR shifts (PSAR Strategy). - `calculate_typical_price_strategy`: Generates signals from typical price trends. - `calculate_volume_weighted_moving_average_strategy`: Issues signals based on VWMA crossovers (VWMA Strategy). - `calculate_vortex_strategy`: Signals trend direction with Vortex crossovers (Vortex Strategy). ### Momentum Strategies - `calculate_momentum_strategy`: Issues signals based on momentum direction. - `calculate_awesome_oscillator_strategy`: Signals momentum shifts with AO crossovers (AO Strategy). - `calculate_ichimoku_cloud_strategy`: Generates signals from Ichimoku cloud positions (Ichimoku Strategy). - `calculate_rsi2_strategy`: Signals overbought/oversold with RSI thresholds (RSI Strategy). - `calculate_stochastic_oscillator_strategy`: Uses stochastic crossovers for signals (STOCH Strategy). - `calculate_williams_r_strategy`: Signals momentum reversals with Williams %R (Williams %R Strategy). ### Volatility Strategies - `calculate_acceleration_bands_strategy`: Signals breakouts with acceleration bands (AB Strategy). - `calculate_bollinger_bands_strategy`: Issues signals from Bollinger Band breaches (BB Strategy). - `calculate_projection_oscillator_strategy`: Signals volatility shifts with PO (PO Strategy). ### Volume Strategies - `calculate_chaikin_money_flow_strategy`: Signals volume pressure with CMF (CMF Strategy). - `calculate_ease_of_movement_strategy`: Issues signals based on EMV trends (EMV Strategy). - `calculate_force_index_strategy`: Signals momentum with force index shifts (FI Strategy). - `calculate_money_flow_index_strategy`: Signals overbought/oversold with MFI (MFI Strategy). - `calculate_negative_volume_index_strategy`: Signals trends with NVI changes (NVI Strategy). - `calculate_volume_weighted_average_price_strategy`: Issues signals from VWAP crossovers (VWAP Strategy). ## Usage Examples ### Example 1: Calculate MACD Indicator **Input (Natural Language Prompt)**: ``` Calculate the MACD for BTC/USDT on a 1-hour timeframe with fast period 12, slow period 26, signal period 9, and fetch 100 data points. ``` **Output**: ``` {"macd": [...], "signal": [...], "histogram": [...]} ``` ### Example 2: Calculate RSI Strategy **Input (Natural Language Prompt)**: ``` Give me the RSI strategy signals for ETH/USDT on a 4-hour timeframe with a period of 14 and 50 data points. ``` **Output**: ``` [-1, 0, 1, 0, ...] ``` ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.