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tamasPetki/HeadlessTracker

by Various

MCP server for crypto portfolio tracking. No dashboard UI — AI hosts render on demand. Bybit, Binance, MetaMask, Solana, Polymarket.

T

MCP

tamasPetki/HeadlessTracker

Added 8 June 2026

#binance #bybit #claude #crypto #mcp #metamask #model-context-protocol #polymarket

Overview

HeadlessTracker is an MCP server for crypto portfolio tracking that connects to Bybit, Binance, MetaMask, Solana, and Polymarket. It has no dashboard UI; instead, AI hosts render portfolio data on demand via the Model Context Protocol.

Best for

Best for
Developers building AI assistants that need live crypto portfolio data without a traditional dashboard.

Use cases

  • Query real-time crypto portfolio balances through an AI assistant
  • Track positions across multiple exchanges and wallets from a single MCP endpoint
  • Integrate portfolio data into custom AI workflows or chat interfaces

Notes

HeadlessTracker is an MCP server for crypto portfolio tracking that connects to Bybit, Binance, MetaMask, Solana, and Polymarket. It has no dashboard UI; instead, AI hosts render portfolio data on demand via the Model Context Protocol.

2 stars on GitHub. Last updated 2026-06-08. Licensed MIT.

Use cases

  • Query real-time crypto portfolio balances through an AI assistant
  • Track positions across multiple exchanges and wallets from a single MCP endpoint
  • Integrate portfolio data into custom AI workflows or chat interfaces

Pros

  • Supports major exchanges and wallets out of the box
  • Leverages MCP for flexible AI-driven data retrieval
  • Lightweight and headless, no UI overhead

Cons

  • Very early stage with only 2 GitHub stars
  • Requires an MCP-compatible AI host to render data
  • Limited documentation and community support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports major exchanges and wallets out of the box
  • Leverages MCP for flexible AI-driven data retrieval
  • Lightweight and headless, no UI overhead

Cons

  • Very early stage with only 2 GitHub stars
  • Requires an MCP-compatible AI host to render data
  • Limited documentation and community support