Give Your AI Agent Live Market Data via MCP

The Stale-Data Problem

Ask a vanilla AI assistant "where's SPY trading and what's the 14-day RSI?" and you get a confident, wrong answer pulled from training data that's months — sometimes a year — out of date. For a trader, an answer that's stale by a single session is worse than no answer at all.

The fix is not a better prompt. It's giving the model live data through tools. The Model Context Protocol (MCP) is the open standard that lets Claude, Cursor, and ChatGPT call external tools, and TradeLoop is a local-first MCP server that exposes real market data through it.

What Your Agent Gets

Once TradeLoop is wired in, your agent can call tools backed by real providers:

• Polygon — equities and options aggregates, quotes, trades, splits, dividends
• Finnhub — fundamentals, earnings calendars, analyst estimates, insider transactions
• CoinGecko — spot prices, market cap, and volume across thousands of crypto assets
• FRED — macro series: CPI, unemployment, Fed funds, the 10-year, yield curve
• SEC EDGAR — 10-K, 10-Q, 8-K, and Form 4 filings straight from the source

On top of the raw feeds, TradeLoop precomputes the indicators traders actually ask for — RSI, MACD, moving averages, Bollinger Bands, ATR — so the agent gets a number it can reason about instead of a wall of OHLC bars it has to crunch token-by-token.

What This Looks Like in a Session

You open Claude Code and type:

> "Pull NVDA daily bars for the last 90 sessions, give me the 14-day RSI and the MACD signal, and tell me if it's overbought."

The agent calls the TradeLoop market-data tool, gets back precomputed RSI and MACD values alongside the price series, and answers with today's numbers. No copy-pasting from a charting site, no "as of my last training update" hedging.

Or, for a fundamentals check:

> "When does AMD report next, and what are the consensus EPS and revenue estimates?"

The agent hits the Finnhub-backed earnings tool and returns the date plus the estimate spread — the inputs you'd actually use to size a pre-earnings position.

Local-First by Design

TradeLoop is not a hosted dashboard you log in to. It runs as a daemon on 127.0.0.1, on your machine, using your own provider API keys, encrypted on-device. Your watchlists, your keys, and your trade theses never leave your laptop unless you explicitly send them somewhere.

That matters for two reasons. First, your edge stays yours — no third party sees which tickers you're researching. Second, latency: the daemon caches recent bars locally, so repeated questions about the same symbol don't re-hit the provider and don't burn your rate limit.

The Setup

curl -fsSL https://tradeloop.top/install.sh | sh
tradeloop login
tradeloop setup

tradeloop setup scans your machine for installed AI clients — Claude Desktop, Claude Code, Cursor, ChatGPT — and writes the correct MCP config for each in a single pass. Add your Polygon and Finnhub keys once, and every client on your machine can reason over live market data.

What's Next

We're extending coverage to Level-2 order book snapshots and futures, and building a persistent indicator cache so backtest-style questions ("how many times did this MACD cross precede a 5% move?") run without re-fetching history every time.

If you want your agent to trade on today's tape instead of last year's, [get started free](/login).