About
Provides current and historical prices for gold, silver, platinum, and palladium via GoldAPI.io. Supports multiple currencies and optional date queries for financial analysis.
Capabilities

Overview
The Metal Price MCP Server is a lightweight service that exposes real‑time and historical precious metal pricing to AI assistants through the Model Context Protocol. By acting as a bridge to GoldAPI.io, it solves the common developer pain point of integrating live market data into conversational agents. Instead of hard‑coding prices or polling third‑party APIs manually, developers can simply invoke a single MCP tool——and receive structured JSON responses that include the metal, currency, timestamp, and unit.
What It Does
At its core, the server offers a single operation: retrieve the current or historical price of gold (XAU), silver (XAG), platinum (XPT), or palladium (XPD). The tool accepts a currency code in ISO 4217 format and an optional date string (YYYYMMDD). If no date is supplied, the server queries GoldAPI.io for the latest market rate; otherwise it fetches the historical value for that day. The response is a concise JSON object containing the price per troy ounce, making it straightforward for downstream AI logic to parse and present.
Why It Matters
Developers building finance, trading, or commodity‑related chatbots often need up‑to‑date metal prices to answer user queries, generate reports, or trigger automated actions. The MCP abstraction removes the need for authentication handling, rate‑limit management, and data normalization. By running locally or in a container, the server keeps sensitive API keys out of client code while still providing instant access to external data. This separation also allows for easy scaling or swapping of the underlying price provider without touching client logic.
Key Features
- Multi‑metal support: Gold, silver, platinum, and palladium are all available through a single endpoint.
- Currency flexibility: Prices can be requested in USD, EUR, or any other supported currency.
- Historical lookup: Specify a date to retrieve past prices, enabling trend analysis or back‑testing scenarios.
- JSON payloads: The tool returns a clean, machine‑readable structure with timestamp, unit, and price fields.
- MCP‑ready: The server is preconfigured for standard MCP clients such as Cline or Claude, requiring only a single command to start.
Real‑World Use Cases
- Financial assistants: A virtual advisor can answer “What is the current price of gold in euros?” instantly.
- Portfolio trackers: An AI can monitor a user’s precious metal holdings and flag significant price movements.
- Educational tools: Students learning about commodities can query historical prices and generate visualizations through the assistant.
- Automated trading bots: By coupling the MCP tool with decision logic, a bot can trigger buy/sell orders when thresholds are met.
Integration Flow
- Deploy the server: Run or configure it in your MCP client’s settings.
- Invoke the tool: From within a conversational flow, call with desired parameters.
- Consume the response: The assistant receives a JSON object, which it can embed in a reply or use to drive subsequent actions.
Because the server communicates over stdio by default, it can be launched as a background process or integrated into CI/CD pipelines. Its minimal dependencies (Python 3.7+, , and ) keep the footprint small, while the GoldAPI.io integration guarantees accurate, real‑time data.
Unique Advantages
- Simplicity: Only one tool to learn and use, reducing cognitive load for developers.
- Security: API keys are stored in environment variables and never exposed to the client layer.
- Extensibility: The MCP framework allows adding new tools (e.g., currency conversion) without altering existing workflows.
- Open source: MIT‑licensed, so teams can modify or extend the server to fit niche requirements.
In summary, the Metal Price MCP Server delivers precise, currency‑agnostic precious metal pricing to AI assistants with minimal setup, making it an essential component for any application that relies on up‑to‑date commodity data.
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