Ethereum Improvement Proposals (EIPs)
Provides semantic search across Ethereum Improvement Proposals using vector embeddings and LanceDB to retrieve relevant EIP documentation chunks for understanding protocol changes, smart contract standards, and blockchain development patterns.
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EIPs MCP server by kukapay that provides AI assistants with semantic search capabilities across Ethereum Improvement Proposals (EIPs) using vector embeddings and LanceDB for efficient document retrieval. The implementation uses the agno framework with FastEmbed embeddings to process EIP markdown files from the official Ethereum EIPs repository, chunking documents into 5000-character segments for optimal search performance and returning up to 5 relevant document chunks with clear separators for each query. Built for developers, researchers, and AI assistants who need contextual access to EIP documentation for understanding Ethereum protocol changes, smart contract standards, and blockchain development patterns without manually browsing through hundreds of proposal documents.
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