// mcp integration

Market data tools for
any MCP client.

TickerAPI exposes pre-computed financial data as MCP tools. Connect to Claude Desktop, Cursor, Windsurf, or any MCP-compatible client — your AI assistant pulls live market context directly from the chat.

try for free read the docs

// setup

Connect in two minutes.

Three ways to connect. Pick whichever fits your setup.

Option 1 — Claude.ai (OAuth)

Connect directly from Claude.ai with one click. No API key management — sign in with your TickerAPI account and Claude handles the rest via OAuth 2.1.

config

// Add as a Connector in Claude.ai
MCP server URL: https://mcp.tickerapi.ai

// Authentication is handled automatically via OAuth
// No API key needed — sign in when prompted

Uses OAuth 2.1 with PKCE. Your TickerAPI session handles auth automatically.

Option 2 — Remote server (Bearer token)

Point any MCP client at the remote endpoint. No install needed. Pass your API key as a Bearer token in the authorization header.

config

// MCP server URL
https://mcp.tickerapi.ai/mcp

// Authorization header
Authorization: Bearer tapi_your_api_key

Works with any client that supports remote MCP servers over HTTP.

Option 3 — npm package (stdio)

Run the MCP server locally via npx. Add this to your Claude Desktop config (or equivalent for your client):

json

{
  "mcpServers": {
    "tickerapi": {
      "command": "npx",
      "args": ["tickerapi-mcp-server"],
      "env": {
        "TICKERAPI_KEY": "tapi_your_api_key"
      }
    }
  }
}

Runs locally over stdio. No network dependency beyond the TickerAPI HTTP calls.

// multi-step analysis

Chain tools in one conversation.

Your MCP client can chain multiple tool calls in a single conversation. Scan for opportunities, drill into details, then compare — each call returns categorical data the model understands without extra prompting.

scan_oversold(sector="Technology")

Returns list of oversold tech tickers with severity rankings

get_summary(ticker="NVDA")

Full categorical breakdown: trend, momentum, fundamentals

compare_assets(tickers=["NVDA", "AMD"])

Side-by-side comparison across all dimensions

list_events(ticker="NVDA", field="rsi_zone", band="deep_oversold")

Historical transitions with aftermath performance

The MCP client discovers all available tools at connection time. It picks the right tool for each step automatically.

// state changes

Track state changes effortlessly.

Most market data APIs return point-in-time snapshots. TickerAPI tracks state transitions — your AI assistant sees what changed, not just what is.

json

{
  "ticker": "AAPL",
  "changes": [
    {
      "field": "rsi_zone",
      "from": "neutral",
      "to": "oversold"
    },
    {
      "field": "trend",
      "from": "uptrend",
      "to": "downtrend"
    }
  ]
}

// what your assistant sees

What your assistant sees.

Every tool returns categorical facts — not raw OHLCV data. Your assistant can branch on "oversold" without needing to know what RSI > 70 means.

json

{
  "ticker": "NVDA",
  "trend": "strong_uptrend",
  "momentum": {
    "rsi_zone": "overbought",
    "macd_signal": "bullish"
  },
  "volatility": "high",
  "fundamentals": {
    "pe_zone": "above_historical_avg",
    "earnings_surprise": "positive"
  }
}