Market data tools for
Claude.
Connect TickerAPI to Claude on claude.ai, Claude Desktop, or Claude Code. Claude gets direct access to market summaries, screeners, watchlists, and more — all from the chat.
Three ways to connect.
Add TickerAPI as a Connector on claude.ai for zero-config setup, or connect via Claude Desktop or Claude Code with an API key.
The fastest way to get started. Add TickerAPI as a Connector in your Claude.ai settings — no API key needed.
https://mcp.tickerapi.ai Uses OAuth 2.1 — no API key to manage. Works on claude.ai web and Claude Desktop.
Add this to your claude_desktop_config.json file. Claude Desktop will start the MCP server locally via npx.
{ "mcpServers": { "tickerapi": { "command": "npx", "args": ["tickerapi-mcp-server"], "env": { "TICKERAPI_KEY": "tapi_your_api_key" } } } }
Run this command to connect Claude Code to TickerAPI's remote MCP server. No local install needed.
# Add TickerAPI as a remote MCP server claude mcp add tickerapi https://mcp.tickerapi.ai/mcp \ --header "Authorization: Bearer tapi_your_api_key"
How it looks in Claude.
Once connected, Claude calls TickerAPI tools automatically when you ask about markets. No special syntax needed.
{ "timeframe": "daily" }
{ "ticker": "INTC" }
Track state changes effortlessly.
Most market data APIs return point-in-time snapshots. TickerAPI tracks state transitions — Claude sees what changed, not just what is.
{ "ticker": "AAPL", "changes": [ { "field": "rsi_zone", "from": "neutral", "to": "oversold" }, { "field": "trend", "from": "uptrend", "to": "downtrend" } ] }
What Claude sees.
Every tool returns categorical facts — not raw OHLCV data. Claude can branch on "oversold" without needing to know what RSI > 70 means.
{ "ticker": "NVDA", "trend": "strong_uptrend", "momentum": { "rsi_zone": "overbought", "macd_signal": "bullish" }, "volatility": "high", "fundamentals": { "pe_zone": "above_historical_avg", "earnings_surprise": "positive" } }
What Claude gets access to.
Every tool returns categorical, pre-computed data. Claude understands the tool descriptions and calls them when relevant — no extra prompting needed.
Full factual snapshot for a single asset — trend, momentum, fundamentals, support/resistance.
Side-by-side technical and fundamental comparison of two or more tickers.
Browse all supported tickers with filtering and search.
List all valid sector values with asset counts for scan filtering.
Live summary data for all tickers in your saved watchlist.
Field-level diffs for your watchlist since the last pipeline run.
Add tickers to your persistent watchlist.
Remove tickers from your watchlist.
Assets in confirmed oversold conditions across multiple indicators.
Assets in overbought RSI conditions with severity rankings.
Momentum breakouts with volume confirmation.
Volume anomalies and accumulation patterns.
Historically undervalued or overvalued assets based on fundamental metrics.
Notable insider buying and selling activity.
Your plan tier, rate limits, and current API usage.
Register a webhook URL for watchlist change notifications.
List your registered webhook URLs.
Remove a registered webhook.
Built for how Claude consumes data.
Categorical data, less prompting
Responses like "rsi_zone": "oversold" are already in a format Claude understands. No need to explain what RSI > 70 means.
Compact responses
Tool-call context windows are limited. TickerAPI responses are a fraction of the tokens you'd need to pass raw OHLCV data.
Pre-computed daily
No infrastructure to maintain. No cron jobs, no indicator math, no data pipelines. TickerAPI handles computation and syncing.