Go MCP Server Financeiro

The Go MCP Server Financeiro is a lightweight, production‑ready example of how to expose financial tooling via the Model Context Protocol. It addresses a common pain point for developers building AI assistants that need to pull real‑time market data: the lack of a standardized, discoverable API surface for financial services. By adhering to MCP’s contract and offering a set of RESTful endpoints, the server lets agents enumerate available tools, register new ones on the fly, and query live stock prices—all without hard‑coding endpoints or credentials into the assistant’s logic.

At its core, the server offers three practical capabilities. First, it allows dynamic registration of financial tools through a simple JSON payload; each tool is stored with its name, description, endpoint URL, and service type. Second, it provides a listing endpoint that returns the full catalog of registered tools, enabling an AI assistant to present users with up‑to‑date options. Third, it integrates directly with Alpha Vantage’s public API to fetch current stock prices for any ticker symbol supplied by the client. These functions are wrapped in a minimal HTTP API that follows MCP conventions, so any agent that understands the protocol can discover and invoke them without custom adapters.

The value for developers lies in the abstraction layer the server creates. Instead of hard‑coding a specific financial API into an assistant’s prompt or code, the agent can simply query , retrieve a list of tools, and call the appropriate endpoint with the required parameters. This decouples the assistant from any single data source, making it easier to swap providers or add new services (e.g., currency conversion, crypto rates) by registering them through the same interface. The server also handles authentication to Alpha Vantage via an environment variable, keeping API keys out of the assistant’s codebase.

Typical use cases include:

• Personal finance assistants that need to fetch live stock quotes for portfolio tracking.
• Enterprise chatbots providing real‑time market insights to traders without embedding proprietary APIs.
• Data science pipelines where an AI model selects the best financial tool based on context and then retrieves data programmatically.
• Education platforms that let students experiment with live market data through a unified interface.

Because the server follows MCP’s metadata schema, it can be plugged into any AI workflow that supports the protocol—whether it’s Claude, GPT‑4o, or a custom in‑house model. The agent can request the server’s capabilities, choose an appropriate tool (e.g., “Consulta Ações”), and then invoke the endpoint with a symbol. The response is returned in JSON, ready for the assistant to synthesize into natural language or feed into downstream analysis.

In summary, the Go MCP Server Financeiro provides a clean, protocol‑compliant gateway to live financial data. It eliminates hard dependencies on specific APIs, offers dynamic tool registration, and empowers AI assistants to deliver real‑time market insights in a flexible, maintainable way.