FinanceExpert
Enables fetching stock quotes, historical prices as CSV, and plain-text Unicode price charts via Yahoo Finance data.
README
mcp-stock-server (FinanceExpert)
A small Model Context Protocol server built with FastMCP. It exposes Yahoo Finance market data (via yfinance) so assistants can fetch quotes, history as CSV, and plain-text Unicode price charts.
Requirements
- Python 3.11+
- uv (recommended) or another way to install dependencies from
pyproject.toml
Setup
cd mcp-stock-server
uv sync
Run (stdio)
The server speaks MCP over stdio (the default for mcp.run()):
uv run python server.py
Add as an MCP server (Cursor)
- Open Cursor Settings → MCP (or edit your MCP JSON config — often
~/.cursor/mcp.jsonon macOS/Linux). - Register a stdio server whose working directory is this repo and whose command starts
server.py.
Option A — uv run (recommended)
Replace /absolute/path/to/mcp-stock-server with the real path where you cloned the repo.
{
"mcpServers": {
"FinanceExpert": {
"command": "uv",
"args": ["run", "python", "server.py"],
"cwd": "/absolute/path/to/mcp-stock-server"
}
}
}
After uv sync, this uses the locked dependencies from uv.lock.
Option B — project virtualenv Python
Use this if you prefer not to invoke uv from the MCP client:
{
"mcpServers": {
"FinanceExpert": {
"command": "/absolute/path/to/mcp-stock-server/.venv/bin/python",
"args": ["server.py"],
"cwd": "/absolute/path/to/mcp-stock-server"
}
}
}
Create the venv first (from the repo root): uv sync (installs deps into .venv).
- Save the config and restart Cursor (or reload MCP). In the MCP panel you should see FinanceExpert with tools
get_stock_analysis,get_historical_prices, andget_stock_price_chart.
Other MCP clients (e.g. Claude Code, editors with MCP support) use the same idea: command + args + cwd for a stdio server.
Tools
| Tool | Description |
|---|---|
get_stock_analysis |
Snapshot text: current price, 50-day average, analyst recommendation key (from Ticker.info). |
get_historical_prices |
Daily close column as CSV for a lookback of days calendar days (period=f"{days}d"). Default days=30. |
get_stock_price_chart |
Box-drawn ASCII/Unicode chart: area fill, price axis, start/end dates on the time axis, and an 8-step sparkline. |
get_stock_price_chart parameters
ticker— Symbol, e.g.INTU,AAPL.days— Used whenperiodis omitted: Yahoo rangeNd(calendar days). Default 30.period— Optional Yahoo period string; when set, it overridesdays. Examples:10y,5y,1y,6mo,ytd,max.
Examples:
- Last month of sessions (by calendar days):
days=30 - Last ten calendar years (Yahoo window):
period="10y"
Market data comes from Yahoo through yfinance; semantics match yfinance history(period=...).
Disclaimer
Quotes and history are informational only, not investment advice. Yahoo data can lag or contain errors; verify independently for decisions.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。