mphinance

mphinance / momentum-mcp

Public

⚡ Give your AI agent a Bloomberg terminal. MCP server for stock screening, OHLCV data, technical analysis, chart generation, and financial news.

11
3
100% credibility
Found Mar 22, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A background service that equips AI assistants with tools for stock screening, historical data, technical analysis, charting, and financial news retrieval.

How It Works

1
🔍 Find the stock analysis helper

You hear about a simple tool that supercharges AI chats with pro-level stock insights like charts and news.

2
💾 Save it to your computer

You download the easy files to a folder on your desktop, ready to go in seconds.

3
▶️ Turn on the helper

You start the quiet background service that pulls fresh stock data whenever needed.

4
🤖 Link your AI buddy

Your smart AI chat connects effortlessly and gains instant access to powerful stock tools.

5
📊 Ask for stock magic

You tell your AI to screen hot stocks, chart a ticker, or grab the latest news.

6
📈 See stunning results

Beautiful charts pop up, key metrics shine, and smart summaries guide your thinking.

✅ Trade smarter every day

Now your AI delivers reliable stock analysis, helping you spot opportunities with confidence.

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Star Growth

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AI-Generated Review

What is momentum-mcp?

Momentum-mcp is a Python MCP server that equips AI agents with Bloomberg-terminal-style tools for stock analysis. Run it locally, and your agents gain instant access to stock screening, OHLCV data pulls, technical indicators like RSI and MACD, candlestick chart generation with EMA overlays, and financial news headlines plus article extraction. It's built on the Model Context Protocol using FastMCP, so agents call simple async tools—no API keys or custom integrations needed.

Why is it gaining traction?

It stands out by bundling quant essentials into agent-ready MCP endpoints, skipping the hassle of wiring yfinance, TradingView scanners, or chart libs yourself. Developers dig the presets for quick screens like overbought RSI>70 or high relative volume, plus base64 charts for inline agent responses. To give your agent this edge, just fire up the server and point it at momentum mcp—perfect for how to give access on GitHub to private repos or give GitHub Copilot context with real market data.

Who should use this?

Quant devs building LLM trading bots, AI researchers prototyping market-aware agents, or fintech hackers giving agents access to classification apps via stock metrics. Ideal if you're tired of mocking financial data in agent sims and want live screens for oversold plays or news sentiment.

Verdict

With 11 stars and a 1.0% credibility score, it's an early prototype—solid docs in the README but no tests or production hardening yet. Grab it if you're experimenting with MCP for agents; otherwise, fork and mature it yourself to give GitHub repo access for collaborative tweaks.

(187 words)

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