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MCP Avantage

by MissionSquad

technicalIndicators_htDcperiod

Calculate the dominant cycle period using the Hilbert Transform for stock analysis. Input symbol, interval, and price type to analyze market trends via the MCP Avantage server.

Instructions

Hilbert Transform - Dominant Cycle Period

Input Schema

NameRequiredDescriptionDefault
datatypeNoData format for the response.json
intervalYesTime interval (e.g., "daily", "60min", "weekly"). Check Alpha Vantage docs for valid intervals per indicator.
monthNoSpecific month for intraday intervals (YYYY-MM format).
series_typeYesThe desired price type.
symbolYesThe stock symbol (e.g., "IBM").

Input Schema (JSON Schema)

{ "additionalProperties": false, "description": "Parameters for HT_DCPERIOD.", "properties": { "datatype": { "default": "json", "description": "Data format for the response.", "enum": [ "json", "csv" ], "type": "string" }, "interval": { "description": "Time interval (e.g., \"daily\", \"60min\", \"weekly\"). Check Alpha Vantage docs for valid intervals per indicator.", "type": "string" }, "month": { "description": "Specific month for intraday intervals (YYYY-MM format).", "type": "string" }, "series_type": { "description": "The desired price type.", "enum": [ "close", "open", "high", "low" ], "type": "string" }, "symbol": { "description": "The stock symbol (e.g., \"IBM\").", "type": "string" } }, "required": [ "symbol", "interval", "series_type" ], "type": "object" }

Implementation Reference

  • Inline execute handler function for the 'technicalIndicators_htDcperiod' tool. It invokes the shared executeAvantageTool helper, passing the specific Alpha Vantage method av.technicalIndicators.htDcperiod.
    execute: ( args, context // Let type be inferred ) => executeAvantageTool( "technicalIndicators_htDcperiod", args, context, (av, params) => av.technicalIndicators.htDcperiod(params) ),
  • src/index.ts:1179-1193 (registration)
    MCP server tool registration via server.addTool, including name, description, parameters schema, and execute handler.
    server.addTool({ name: "technicalIndicators_htDcperiod", description: "Hilbert Transform - Dominant Cycle Period", parameters: schemas.TechnicalIndicatorsHtDcperiodParamsSchema, execute: ( args, context // Let type be inferred ) => executeAvantageTool( "technicalIndicators_htDcperiod", args, context, (av, params) => av.technicalIndicators.htDcperiod(params) ), });
  • Zod schema for input parameters, extending common indicator params with series_type option.
    export const TechnicalIndicatorsHtDcperiodParamsSchema = TechnicalIndicatorsCommonIndicatorParamsSchema.extend({ series_type: SeriesTypeSchema }).describe('Parameters for HT_DCPERIOD.');
  • Shared helper function used by all tools to manage AVantage client instances, execute API calls, and handle responses/errors.
    async function executeAvantageTool<TArgs, TResult>( toolName: string, args: TArgs, context: Context<Record<string, unknown> | undefined>, // Use the imported Context type directly avantageMethod: ( av: AVantage, args: TArgs ) => Promise<{ error?: boolean; reason?: string; data?: TResult }> ): Promise<string> { logger.info(`Executing '${toolName}' tool for request ID: ${context}`); logger.debug(`Args for ${toolName}: ${JSON.stringify(args)}`); // --- Authentication & Resource Management --- // Access extraArgs safely - it might be null or undefined const extraArgsApiKey = context.extraArgs?.apiKey as string | undefined; const apiKey = extraArgsApiKey || config.apiKey; if (!apiKey) { logger.error(`'${toolName}' failed: Alpha Vantage API key missing.`); throw new UserError(apiKeyErrorMessage); } logger.debug( `Using AV API key (source: ${extraArgsApiKey ? "extraArgs" : "environment"}) for ${toolName}` ); try { // Get or create AVantage instance managed by ResourceManager const av = await resourceManager.getResource<AVantage>( apiKey, // Cache key is the resolved API key "avantage_client", // Type identifier for logging async (key) => { // Factory Function logger.info( `Creating new AVantage instance for key ending ...${key.slice(-4)}` ); // AVantage library reads AV_PREMIUM from process.env internally return new AVantage(key); }, async (avInstance) => { // Cleanup Function (no-op needed for AVantage) logger.debug(`Destroying AVantage instance (no-op)`); } ); // --- Library Call --- const result = await avantageMethod(av, args); // --- Response Handling --- if (result.error) { logger.warn( `'${toolName}' failed. Reason from avantage: ${result.reason}` ); throw new UserError(result.reason || `Tool '${toolName}' failed.`); } if (result.data === undefined || result.data === null) { logger.warn(`'${toolName}' completed successfully but returned no data.`); return "null"; // Return string "null" for empty data } logger.info(`'${toolName}' completed successfully.`); // Stringify the data part of the response return JSON.stringify(result.data); } catch (error: any) { logger.error( `Error during execution of '${toolName}': ${error.message}`, error ); // If it's already a UserError, rethrow it if (error instanceof UserError) { throw error; } // Otherwise, wrap it in a UserError throw new UserError( `An unexpected error occurred while executing tool '${toolName}': ${error.message}` ); } }

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