Ethereum Improvement Proposals (EIPs)
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- finance
- Source
- PulseMCP
- Repository
- github.com/kukapay/eips-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Ethereum Improvement Proposals (EIPs) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.