Exposes Covalent's GoldRush APIs as Model Context Protocol (MCP) resources and tools for large language models.
Sponsored
This project functions as a Model Context Protocol (MCP) server, designed to bridge Large Language Models (LLMs) with Covalent's powerful GoldRush APIs. It transforms the extensive blockchain data available through GoldRush into easily consumable MCP resources and executable tools. This integration allows LLMs to directly interact with blockchain data, enabling them to fetch real-time and historical cryptocurrency information, execute queries, and perform actions like retrieving token balances or transaction summaries, thereby empowering AI agents with real-world, on-chain data capabilities.
Key Features
01Exposes Covalent GoldRush API endpoints as MCP Tools for LLM interaction.
02Provides MCP Resources for essential blockchain information like chain details and currency quotes.
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04Offers a command-line interface for straightforward server configuration.
05Features a modular architecture with separate service modules for enhanced maintainability and extensibility.
06Supports flexible transport mechanisms, including STDIO and HTTP, for diverse integration scenarios.
Use Cases
01Develop AI-powered applications that leverage real-world on-chain data for portfolio analysis, smart contract monitoring, and DApp development.
02Enable LLMs to query and utilize comprehensive blockchain data for tasks like fetching token balances, transaction histories, and gas prices.
03Integrate Covalent's GoldRush APIs with popular LLM clients such as Claude Desktop, Claude Code CLI, Cursor, and Windsurf.
