Indian Stock Analysis MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| stock_quoteC | Get current stock price and basic trading information for Indian stocks. Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') |
| company_fundamentalsB | Get fundamental analysis data for an Indian company. Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') |
| stock_newsA | Get recent news articles for a specific Indian stock. Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') limit: Maximum number of news articles to return (default: 5) |
| search_indian_stocksA | Search for Indian stocks by company name or ticker symbol. Args: query: Search query - company name or partial ticker symbol limit: Maximum number of results to return (default: 10) |
| market_overviewA | Get current Indian market indices and sector performance. |
| technical_analysisA | Get comprehensive technical analysis indicators for an Indian stock. Provides key technical indicators including:
Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') period: Time period for analysis (1mo, 3mo, 6mo, 1y, 2y) |
| stock_actionsA | Get corporate actions (dividends, stock splits) for an Indian stock. Provides information about:
Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') |
| analyst_recommendationsA | Get analyst recommendations and price targets for an Indian stock. Provides professional market sentiment including:
Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') |
| train_arima_modelA | Train ARIMA model with intelligent parameter selection using pmdarima auto_arima. Provides:
Args: ticker: Stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') p: AR order (None for auto-selection) d: Differencing order (default 1 for stock prices) q: MA order (None for auto-selection) validation_split: Train-validation split ratio (default 0.2) auto_select: Use pmdarima auto_arima for parameter selection (True) or manual (False) lags: Number of lags for analysis (default 40, used for fallback ACF/PACF) period: Time period for training data ('1mo', '3mo', '6mo', '1y', '2y', '5y') transform: Data transformation type ("log", "boxcox", or None for no transformation) Returns: List containing text analysis and ImageContent with training plot |
| stock_holdersA | Get major holders and institutional ownership information for an Indian stock. Provides insights into:
Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') |
| arima_model_diagnosticsA | Perform comprehensive diagnostics on trained ARIMA model. Provides:
Args: ticker: Stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') period: Time period for analysis ('1mo', '3mo', '6mo', '1y', '2y', '5y') transform: Data transformation type ("log", "boxcox", or None for no transformation) Returns: List containing text analysis and ImageContent with diagnostic plots |
| forecast_arima_modelA | Generate ARIMA model forecasts with confidence intervals and validation. Provides:
Args: ticker: Stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') periods: Number of periods to forecast (default: 20 trading days) confidence: Confidence interval level (0.8-0.99, default: 0.95) p: AR order (None for auto-selection) d: Differencing order (default 1 for stock prices) q: MA order (None for auto-selection) auto_select: Use pmdarima auto_arima for parameter selection (True) or manual (False) lags: Number of lags for analysis (default 40, used for fallback ACF/PACF) period: Time period for training data ('1mo', '3mo', '6mo', '1y', '2y', '5y') transform: Data transformation type ("log", "boxcox", or None for no transformation) Returns: List containing text analysis and ImageContent with forecast plot |
| forecast_prophet_modelA | Train Prophet model and generate forecasts with confidence intervals. Provides:
Args: ticker: Stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') periods: Number of periods to forecast (default: 20 trading days) confidence: Confidence interval level (0.8-0.99, default: 0.95) period: Time period for training data ('1mo', '3mo', '6mo', '1y', '2y', '5y') yearly_seasonality: Enable yearly seasonality (default True) weekly_seasonality: Enable weekly seasonality (default True) seasonality_mode: 'additive' or 'multiplicative' (default 'additive') changepoint_prior_scale: Flexibility of trend changes (default 0.05) seasonality_prior_scale: Flexibility of seasonality (default 10.0) holidays_prior_scale: Flexibility of holiday effects (default 10.0) validation_split: Train-validation split ratio (default 0.2) include_holidays: Include Indian market holidays (default False) Returns: List containing text analysis and ImageContent with forecast plot |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| market_status_resource | Current Indian market status and trading hours. |
| popular_stocks_resource | List of frequently analyzed Indian stocks. |
TDQS
Scored across 13 tools
Tools are largely distinct, but forecast_arima_model and forecast_prophet_model overlap in purpose and output style, potentially confusing agents. Other tools like stock_quote vs market_overview and technical_analysis vs arima_model_diagnostics have clear boundaries.
Naming conventions are mixed: some tools use stock_* prefixes, some use model-related prefixes like train_arima_model, and others are bare nouns like market_overview. While all are readable snake_case, the lack of a consistent prefix/verb pattern reduces predictability.
With 13 tools, the count is within the ideal range and each tool serves a distinct analytical function, from market overview and fundamentals to ARIMA/Prophet forecasting and diagnostics. No tool feels redundant.
The toolkit covers a broad range of Indian stock analysis needs, but there is no direct tool for retrieving raw historical price data, which is a common prerequisite for custom analysis or model building. Otherwise, the surface is fairly comprehensive.