MCP Bitpanda Server

endpoint: https://api.bitpanda.com/v3/currencies Below is a description of the JSON structure from "currencies.json" tailored for an LLM to understand how to build a fetch method to handle such a response. Since the original file is too large to share directly, this summary focuses on the key structural components and details necessary for designing an appropriate fetch method. * * * Description of the JSON Response Structure The API endpoint you will fetch from returns a large JSON object representing a collection of various financial assets. Here’s a breakdown of its structure: Top-Level Structure * data: The root object containing all the data. * type: A string with the value "collection", indicating that this is a collection of assets. * attributes: An object that holds the main content, consisting of multiple arrays categorized by asset type. Inside the attributes Object The attributes object contains several arrays, each representing a different type of financial asset. These arrays are: * commodities: An array of commodity objects (e.g., Gold, Silver). * cryptocoins: An array of cryptocurrency objects (e.g., Bitcoin, Ethereum). * etfs: An array of Exchange-Traded Fund (ETF) objects (e.g., World Technology Stocks). * etcs: An array of Exchange-Traded Commodity (ETC) objects (e.g., Aluminium, Natural Gas). * fiat\_earns: An array of fiat-based earning product objects (e.g., Bitpanda Cash Plus EUR). Each of these arrays contains multiple objects, and the response is large, suggesting that there could be many entries in each category. Structure of Objects Within Each Array Each object within these arrays follows a consistent pattern, with properties tailored to the specific asset type. The general structure of an asset object is: * type: A string indicating the category of the asset (e.g., "commodity", "cryptocoin", "etf", "etc", or "security" for fiat\_earns). * attributes: An object containing detailed properties of the asset. These properties vary by asset type but often include: * Common Fields (present across most asset types): * name: The name of the asset (e.g., "Gold", "Bitcoin"). * symbol: The trading symbol (e.g., "XAU", "BTC"). * logo: A URL to the asset’s logo image (light theme). * logo\_dark: A URL to the asset’s logo image (dark theme). * color: A hex color code associated with the asset (e.g., "#F7931A" for Bitcoin). * asset\_type\_name: The type of asset (e.g., "commodity", "cryptocoin", "security"). * asset\_group\_name: A subgroup within the type (e.g., "metal" for commodities, "coin" for cryptocoins). * precision\_for\_fiat\_price: Integer for decimal precision of fiat prices (e.g., 2 or 4). * precision\_for\_coins: Integer for decimal precision of coin amounts (typically 4). * precision\_for\_internal: Integer for internal precision (typically 8). * precision\_for\_tx: Integer for transaction precision (e.g., 6 or 8). * ios\_supported\_version: Minimum iOS version supporting the asset (e.g., "1.0.0"). * android\_supported\_version: Minimum Android version supporting the asset (e.g., "0.0.1"). * is\_token: Boolean indicating if the asset is a token (e.g., false for commodities, true for some ETFs). * pid: A unique product identifier (e.g., "b86c034b-efe3-11eb-b56f-0691764446a7"). * Type-Specific Fields: * Commodities: measurement\_unit (e.g., "g" for grams). * Cryptocoins: * url\_check\_address: URL template for address verification (e.g., "[https://mempool.space/address/%s](https://mempool.space/address/%s)"). * url\_check\_transaction: URL template for transaction verification (e.g., "[https://mempool.space/tx/%s](https://mempool.space/tx/%s)"). * support\_destination\_tag: Boolean indicating support for destination tags (e.g., true for XRP). * support\_destination\_tag\_type: Boolean or related tag type info. * index\_only: Boolean (e.g., true for Monero). * ETFs and ETCs: * isin: International Securities Identification Number (e.g., "IE00BM67HS53"). * country\_id: Identifier for the country (e.g., "103"). * sector\_id: Identifier for the sector (e.g., "9" for ETFs, "8" for ETCs). * Fiat Earns: Similar to ETFs/ETCs but with fewer unique fields beyond isin and country\_id. * id: A unique string identifier for the asset (e.g., "1" for Bitcoin, "28" for Gold). Example Objects To illustrate, here are simplified examples of what objects in each array might look like: * Commodity: json { "type": "commodity", "attributes": { "name": "Gold", "symbol": "XAU", "logo": "https://cdn.bitpanda.com/logos/v4/asset/light/b86c88d4-efe3-11eb-b56f-0691764446a7.png", "logo_dark": "https://cdn.bitpanda.com/logos/v4/asset/dark/b86c88d4-efe3-11eb-b56f-0691764446a7.png", "color": "#B68E46", "measurement_unit": "g", "precision_for_fiat_price": 2 }, "id": "28" } * Cryptocoin: json { "type": "cryptocoin", "attributes": { "name": "Bitcoin", "symbol": "BTC", "logo": "https://cdn.bitpanda.com/logos/v4/asset/light/b86c034b-efe3-11eb-b56f-0691764446a7.png", "color": "#F7931A", "url_check_address": "https://mempool.space/address/%s", "support_destination_tag": false, "precision_for_fiat_price": 2 }, "id": "1" } * ETF: json { "type": "etf", "attributes": { "name": "World Technology Stocks", "symbol": "WORLDTECH", "logo": "https://cdn.bitpanda.com/logos/v4/asset/light/fd359922-b0f3-11ec-a6ac-0a686dc2c129.png", "isin": "IE00BM67HT60", "country_id": "103", "sector_id": "9" }, "id": "1238" } Guidance for Building the Fetch Method To handle this response, your fetch method should be designed with the following considerations: 1. Endpoint Expectation: * The API returns a single, large JSON object with the structure described above. There’s no indication of pagination, so assume the entire dataset is delivered in one response. 2. Fetch Implementation: * Use a standard HTTP fetch request (e.g., fetch() in JavaScript) to retrieve the JSON data from the API endpoint. * Example in JavaScript: javascript async function fetchCurrencies() { try { const response = await fetch('https://api.bitpanda.com/v3/currencies'); if (!response.ok) throw new Error('Network response was not ok'); const data = await response.json(); return data; } catch (error) { console.error('Fetch error:', error); throw error; } } 3. Handling Large Responses: * Since the JSON is large (over 1.9 million characters truncated in the sample), ensure your method can handle significant data sizes: * Use asynchronous processing to avoid blocking the main thread. * Consider memory efficiency; parse the JSON incrementally if supported by your environment (e.g., streaming JSON parsers for Node.js). * Set appropriate timeouts or chunked transfer encoding if the API supports it. 4. Parsing the Response: * Access the asset arrays via data.attributes: javascript const commodities = data.attributes.commodities; const cryptocoins = data.attributes.cryptocoins; const etfs = data.attributes.etfs; const etcs = data.attributes.etcs; const fiatEarns = data.attributes.fiat_earns; * Each array contains objects you can iterate over or filter based on type, id, symbol, or other attributes. 5. Processing Different Asset Types: * Use the type field to differentiate between asset categories and handle them accordingly: javascript function processAssets(assetArray) { assetArray.forEach(asset => { switch (asset.type) { case 'commodity': console.log(`Commodity: ${asset.attributes.name} (${asset.attributes.symbol})`); break; case 'cryptocoin': console.log(`Cryptocoin: ${asset.attributes.name}, Address Check: ${asset.attributes.url_check_address}`); break; case 'etf': console.log(`ETF: ${asset.attributes.name}, ISIN: ${asset.attributes.isin}`); break; // Add cases for 'etc' and 'security' (fiat_earns) as needed } }); } 6. Error Handling: * Account for potential network errors, malformed JSON, or missing fields in the response. 7. Use Case Flexibility: * If your application needs specific assets, filter by id, symbol, or other identifiers: javascript const bitcoin = cryptocoins.find(coin => coin.attributes.symbol === 'BTC'); Summary The fetch method should: * Retrieve a large JSON object from the API. * Parse the nested structure under data.attributes to access arrays of asset objects. * Handle the response efficiently due to its size. * Allow processing or filtering of assets based on their type and attributes. This structure and guidance should enable you to build a robust fetch method tailored to this API response without needing the full JSON file. * * * This description provides a clear, concise, and actionable summary for an LLM to implement a fetch method effectively.