MCP-Server-Financial-Analyzer

MCP-Server-Financial-Analyzer

Provides AI assistants with real-time stock prices, financial statements, SEC filings, and analytical tools like DCF valuation and ratio analysis.

Category
访问服务器

README

MCP Server – Financial Analyzer

An MCP (Model Context Protocol) server that gives AI assistants access to real-time stock prices, financial statements, SEC filings, and analytical tools.

Built with FastMCP, powered by yfinance and edgartools.


Tools

Stock Prices

Tool Description
get_stock_price Current price, volume, 52-week range, market cap
get_price_history OHLCV history with configurable period and interval
get_stock_info Company profile, sector, employees, ownership

Fundamentals

Tool Description
get_income_statement Revenue, gross profit, EBITDA, net income, EPS
get_balance_sheet Assets, liabilities, equity, debt
get_cash_flow Operating, investing, financing, free cash flow
get_earnings_history EPS estimates vs actuals and surprise %

SEC Filings

Tool Description
search_sec_filings List 10-K, 10-Q, 8-K, and other filings
get_filing_sections Retrieve full text of specific sections (business, risk_factors, mda)
get_company_facts EDGAR CIK, registered tickers, TTM financials from XBRL

Analysis

Tool Description
calculate_financial_ratios P/E, P/B, EV/EBITDA, ROE, ROA, margins, leverage ratios
analyze_trends YoY growth trends for any financial line item
compare_stocks Side-by-side comparison of multiple tickers on any metric
dcf_estimate Simplified DCF intrinsic value with margin of safety

Resources

URI Description
market://overview Major US indices (S&P 500, NASDAQ, Dow, VIX, 10Y Treasury)
market://sectors Daily performance of 11 GICS sectors via SPDR ETFs

Quickstart (local / stdio)

# 1. Clone and install
git clone https://github.com/YOUR_USERNAME/MCP-Server-Financial-Analyzer.git
cd MCP-Server-Financial-Analyzer
pip install uv
uv sync

# 2. Configure environment
cp .env.example .env
# Edit .env — set EDGAR_IDENTITY to "Your Name your@email.com"

# 3. Run (stdio mode for local use)
uv run financial-analyzer

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "financial-analyzer": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/MCP-Server-Financial-Analyzer", "financial-analyzer"],
      "env": {
        "EDGAR_IDENTITY": "Your Name your@email.com"
      }
    }
  }
}

VS Code (Copilot)

Add to .vscode/mcp.json or user settings:

{
  "servers": {
    "financial-analyzer": {
      "type": "stdio",
      "command": "uv",
      "args": ["run", "--directory", "/path/to/MCP-Server-Financial-Analyzer", "financial-analyzer"],
      "env": {
        "EDGAR_IDENTITY": "Your Name your@email.com"
      }
    }
  }
}

Deploy to Render

This repo includes a render.yaml for one-click deployment.

  1. Push to GitHub
  2. Go to render.comNew → Blueprint → connect your repo
  3. Set EDGAR_IDENTITY to your real name and email in the Render dashboard
  4. Deploy — your MCP endpoint will be at https://<service-name>.onrender.com/mcp

Connect remote clients to the deployed server

{
  "mcpServers": {
    "financial-analyzer": {
      "type": "http",
      "url": "https://<service-name>.onrender.com/mcp",
      "headers": {
        "Authorization": "Bearer <MCP_AUTH_TOKEN>"
      }
    }
  }
}

The MCP_AUTH_TOKEN is auto-generated by Render and visible in your service's environment variables.


Environment Variables

Variable Required Default Description
EDGAR_IDENTITY Yes "Name email" per SEC fair-use policy
TRANSPORT No stdio stdio for local, streamable-http for cloud
HOST No 0.0.0.0 Bind address (HTTP mode only)
PORT No 8000 Port (HTTP mode only)
MCP_AUTH_TOKEN No Bearer token to protect the HTTP endpoint

Disclaimer

This server provides financial data for informational and educational purposes only. It is not financial advice. Always verify data from authoritative sources before making investment decisions.

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选