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MCP Avantage

by MissionSquad

commodities_copper

Access real-time and historical copper prices with customizable intervals (monthly, quarterly, annual) and data formats (JSON, CSV) for informed financial analysis.

Instructions

Retrieves copper prices.

Input Schema

NameRequiredDescriptionDefault
datatypeNoResponse data format.
intervalNoTime interval for the data.

Input Schema (JSON Schema)

{ "additionalProperties": false, "description": "Parameters for monthly/quarterly/annual commodity data.", "properties": { "datatype": { "description": "Response data format.", "enum": [ "json", "csv" ], "type": "string" }, "interval": { "description": "Time interval for the data.", "enum": [ "monthly", "quarterly", "annual" ], "type": "string" } }, "type": "object" }

Implementation Reference

  • src/index.ts:235-246 (registration)
    Registers the commodities_copper MCP tool with the server, defining its name, description, input schema, and thin wrapper execute handler that delegates to executeAvantageTool and the Alpha Vantage commodities.copper method.
    server.addTool({ name: "commodities_copper", description: "Retrieves copper prices.", parameters: schemas.CommoditiesMonthlyQuarterlyAnnualParamsSchema, execute: ( args, context // Let type be inferred ) => executeAvantageTool("commodities_copper", args, context, (av, params) => av.commodities.copper(params) ), });
  • Zod schema defining the input parameters for the commodities_copper tool, supporting optional interval (monthly, quarterly, annual) and datatype.
    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.')
  • Core helper function used by all tools, including commodities_copper, to manage Alpha Vantage client lifecycle, perform the API call via the provided method, handle 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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