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EIPs

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Learning & Documentation
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Data Science & ML

Provides semantically related Ethereum Improvement Proposals (EIPs) to AI agents.

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EIPs is an MCP server designed to empower AI agents with in-depth knowledge of Ethereum Improvement Proposals. It leverages advanced vector embeddings to enable semantic, context-aware search across the vast repository of EIP documents. By efficiently processing EIP markdown files with smart chunking, the server ensures rapid and relevant content retrieval, allowing AI agents to understand and interact with EIPs based on their meaning, not just keywords.

Key Features

01Semantic Search: Utilizes vector embeddings for accurate, context-aware search across EIP documents.
02Markdown Support: Processes EIP markdown files with chunking for efficient storage and retrieval.
031 GitHub stars

Use Cases

01Finding EIPs discussing contract deployment or implementation details.
02Retrieving EIPs related to specific Ethereum opcodes or functionalities using natural language queries.
03Providing AI agents with semantically relevant EIP content for research or analysis.