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MissionSquad

MCP Avantage

by MissionSquad

commodities_coffee

Retrieve coffee commodity price data in JSON or CSV format for monthly, quarterly, or annual intervals to analyze market trends.

Instructions

Retrieves coffee prices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intervalNoTime interval for the data.
datatypeNoResponse data format.

Implementation Reference

  • src/index.ts:313-324 (registration)
    Registers the 'commodities_coffee' MCP tool with name, description, input schema, and an execute handler that calls the generic executeAvantageTool wrapper with the specific AVantage library method av.commodities.coffee(params).
    server.addTool({ name: "commodities_coffee", description: "Retrieves coffee prices.", parameters: schemas.CommoditiesMonthlyQuarterlyAnnualParamsSchema, execute: ( args, context // Let type be inferred ) => executeAvantageTool("commodities_coffee", args, context, (av, params) => av.commodities.coffee(params) ), });
  • Zod schema for input parameters of the commodities_coffee tool, allowing optional interval (monthly, quarterly, annual) and datatype (json, csv).
    export const CommoditiesMonthlyQuarterlyAnnualParamsSchema = z.object({ interval: MonthlyQuarterlyAnnualSchema.optional().describe('Time interval for the data.'), datatype: DatatypeSchema.optional().describe('Response data format.'), }).describe('Parameters for monthly/quarterly/annual commodity data.')
  • Generic helper function used by all tools, including commodities_coffee, to manage AVantage instance, resolve API key, execute the specific library method, handle responses and errors, and return JSON stringified data.
    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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