# TickerLayer [Health: Active]

**Category:** 💰 Finance & Fintech  
**Repository:** https://tickerlayer.com/mcp  
**Views:** 1  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/tickerlayer

## Description
Live and historical market data for AI agents: quotes, snapshots, OHLCV history, market hours and bond yields across stocks, forex, crypto, indices, ETFs, commodities and perpetual futures.

## Claude Desktop Quick Installation
Remote MCP endpoint (confidence: medium). Install path inferred — verify against the README before running it. Add as a URL/SSE server in your client:

```json
"mcpServers": {
  "tickerlayer": {
    "url": "https://tickerlayer.com/mcp"
  }
}
```

## Documentation

## What TickerLayer MCP server does

TickerLayer MCP server gives AI agents access to live and historical market data through the Model Context Protocol. It is intended for workflows that need structured information about financial instruments rather than general web search or static reference data.

The available coverage includes stocks, foreign exchange, cryptocurrencies, market indices, exchange-traded funds, commodities, and perpetual futures. The service also includes bond-yield data, extending its use beyond price tracking into broader market monitoring.

As part of the Finance & Fintech category, TickerLayer fits agents that need to retrieve current market conditions, review earlier price activity, or combine several market data types in one workflow.

## Tools and capabilities

The TickerLayer MCP server supports several market-data operations:

- Quotes for individual instruments or markets
- Snapshots of market data
- OHLCV history, covering open, high, low, close, and volume values
- Market-hours information
- Bond-yield data

Quotes and snapshots are suited to workflows that need a current view of an instrument or market. Historical OHLCV data can support analysis of price and volume behavior over time. Market-hours information helps agents determine whether a market is open or closed, while bond yields provide fixed-income indicators alongside asset-price data.

The supported asset classes make TickerLayer MCP server relevant to multi-market agents. For example, one workflow could compare an equity with an index and a commodity, while another could monitor currency, crypto, and perpetual-futures markets.

## Limitations and notes

The available listing describes the data coverage and capabilities but does not provide setup instructions, authentication requirements, environment variables, licensing details, rate limits, or retention policies. It also does not name specific MCP clients or document client-specific configuration.

TickerLayer MCP server should therefore be evaluated against the agent’s required market coverage and the implementation details of the endpoint before deployment. In particular, confirm how instruments are identified, how historical ranges are requested, and whether the live data freshness meets the workflow’s needs. The listing confirms live and historical data access, but it does not define a guaranteed update frequency or market-data service-level agreement.

_Full upstream README: https://allmcps.com/mcp/tickerlayer/readme_