bitcoin-data-mcp

bitcoin-data-mcp

3.3

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A Model Context Protocol (MCP) server providing Bitcoin blockchain data and analysis tools through free data sources.

The Bitcoin Data MCP Server is a specialized server designed to provide comprehensive access to Bitcoin blockchain data and analysis tools. It leverages free data sources to offer real-time blockchain data, market metrics, and network analysis. By integrating APIs from Blockstream.info, CoinGecko, and Mempool.space, the server delivers a wide range of functionalities, including UTXO analysis and transaction pattern detection. The server is built to enhance performance through data caching, reducing the load on external APIs. It is particularly useful for AI models and tools that support the Model Context Protocol, allowing them to access Bitcoin data without direct internet access. The server can be integrated with platforms like Claude Desktop, enabling seamless access to Bitcoin data and analysis tools.

Features

  • Real-time blockchain data from Blockstream.info API
  • Bitcoin price and market data from CoinGecko API
  • Network metrics and fee estimates from Mempool.space API
  • UTXO analysis and basic transaction pattern detection
  • Data caching for improved performance and reduced API load

Tools

  1. get_block

    Retrieve block information by hash or height

  2. get_transaction

    Get transaction details by TXID

  3. get_address

    View address information, balance, and transaction history

  4. get_utxos

    Retrieve unspent transaction outputs for an address

  5. get_price_data

    Current Bitcoin price and market metrics

  6. get_historical_price

    Historical price data for specified time periods

  7. get_network_metrics

    Bitcoin network health metrics

  8. analyze_fee_landscape

    Current fee recommendations and analysis

  9. analyze_mempool_state

    Mempool congestion analysis

  10. analyze_utxo_distribution

    UTXO distribution analysis for multiple addresses

  11. trace_coin_lineage

    Basic tracing of coin movement

  12. detect_transaction_patterns

    Identify common transaction patterns