express-mcp
Express MCP Server
An MCP (Model Context Protocol) server implementation with Express.js and TypeScript.
Tech Stack
- Framework: Express.js
- Language: TypeScript
- Protocol: MCP (Model Context Protocol)
- Package Manager: npm
Setup
1. Clone the Template
git clone --depth 1 https://github.com/Eng0AI/express-mcp.git .
More from rebyteai-template/rebyte-skills
echarts
Knowledge about pyecharts chart creation, HTML report generation, and visualization best practices
16gsap-awwwards-website
SPYLT product landing with GSAP scroll animations, React 19, and Tailwind CSS 4.
13market-data
Access US stock market data including price bars, news with sentiment, and company details via eng0 data API. Use when user asks for stock prices, OHLCV data, price history, stock news, or company information. Triggers include "stock price", "price history", "OHLCV", "stock news", "company info", "market data", "ticker data". Do NOT use for SEC filings (use sec-edgar-skill instead).
10sec-edgar-skill
SEC EDGAR filing analysis using EdgarTools. Use when user asks about SEC filings, company financials, 10-K/10-Q analysis, insider trading, revenue trends, or financial comparisons. Triggers include "SEC filing", "10-K", "10-Q", "8-K", "EDGAR", "company financials", "revenue", "earnings", "insider trading", "financial statements". Do NOT use for real-time stock prices or market data (use market-data skill instead).
10financial-deep-research
Conduct enterprise-grade financial research with multi-source synthesis, regulatory compliance tracking, and verified market analysis. Use when user needs comprehensive financial analysis requiring 10+ sources, verified claims, market comparisons, or investment research. Triggers include "financial research", "market analysis", "investment analysis", "due diligence", "financial deep dive", "compare stocks/funds", or "analyze [company/sector]". Do NOT use for simple stock quotes, basic company lookups, or questions answerable with 1-2 searches.
7langchain-retrieval-agent
AI agent with retrieval tool for document Q&A using RAG and LangGraph.
7