Overview

The mcp-server-yahoo-finance MCP server provides a lightweight, extensible interface for AI assistants to interact with financial data from Yahoo Finance. By exposing a simple note‑storage resource, a summarization prompt, and an “add‑note” tool, it lets developers treat Yahoo Finance data as first‑class knowledge that can be queried, annotated, and refined within an AI workflow. This approach removes the need for custom API wrappers or manual data ingestion, enabling assistants to store market insights, research findings, and personal observations in a structured format that can be retrieved or summarized on demand.

The server’s core functionality is built around three pillars:

• Resources – A note system accessible via a URI scheme. Each note carries a name, description, and plain‑text content, allowing the assistant to reference specific market observations or research snippets by URI.
• Prompts – The prompt aggregates all stored notes into a concise summary. An optional style argument lets the user choose between brief or detailed overviews, making it easy to generate quick market snapshots or in‑depth reports without additional coding.
• Tools – The tool lets users create new notes on the fly. By supplying a name and content, developers can feed fresh Yahoo Finance data or personal commentary into the server, which then updates its state and notifies any listening clients.

These components together give developers a powerful yet straightforward way to embed financial context into AI assistants. For example, a trading bot can query the server for recent earnings reports, add new notes after market close, and ask the assistant to generate a daily briefing. In research settings, analysts can collect multiple Yahoo Finance articles into notes and request a summarized synthesis that highlights key trends or anomalies.

Integration with AI workflows is seamless: the MCP protocol handles state synchronization, so any changes made through are instantly visible to all connected clients. The summarization prompt can be invoked as part of a larger conversation, enabling dynamic updates to summaries whenever new data arrives. This real‑time interaction eliminates the latency and complexity of polling external APIs, allowing assistants to provide up‑to‑date financial insights in natural language.

Unique advantages of this server include its modular architecture—developers can extend the note resource or add new prompts and tools without altering the core protocol—and its native support for URIs, which makes notes easily shareable and referenceable across different assistants or applications. By turning Yahoo Finance data into a first‑class resource within the MCP ecosystem, this server empowers developers to build richer, contextually aware AI experiences that keep pace with fast‑moving market information.