# Ethereum Improvement Proposals (EIPs)

> Use this tool when you need to efficiently search and retrieve specific Ethereum Improvement Proposals (EIPs) documentation, solving the problem of manual browsing through hundreds of proposal documents. It provides semantic search capabilities across EIPs, taking in query inputs and returning up to 5 relevant document chunks with clear separators. Ideal for developers, researchers, and AI assistants seeking contextual access to EIP documentation for understanding Ethereum protocol changes and blockchain development patterns.

Canonical page: https://skillsregistry.net/skills/kukapay-eips  
JSON: https://api.skillsregistry.net/v1/skills/kukapay-eips

## Description

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.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kukapay-eips)
- **Repository:** <https://github.com/kukapay/eips-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kukapay-eips"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kukapay-eips` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kukapay-eips/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt