Eips MCP
An MCP server that provides relevant Ethereum Improvement Proposals (EIP) content for AI agents through semantic search, supporting Markdown document processing and vectorized retrieval.
2.5 points
0

What is EIPs MCP?

EIPs MCP is a server specifically designed for AI assistants. It can intelligently search and understand Ethereum Improvement Proposals (EIP) documents. Through advanced semantic search technology, it can help AI assistants quickly find the most relevant EIP content for user queries, even if the query terms do not exactly match the terms in the documents.

How to use EIPs MCP?

You only need to install and configure the EIPs MCP server through a supported AI platform (such as Claude Desktop), and then you can use natural language to query EIP-related content. The server will automatically process your query and return the most relevant EIP document fragments.

Applicable scenarios

EIPs MCP is particularly suitable for scenarios where developers, researchers, and blockchain enthusiasts need to quickly find and understand Ethereum technical specifications, new feature proposals, or technical details. Whether you are learning Ethereum technology or developing related applications, you can benefit from it.

Main features

Semantic search
Use vector embedding technology to implement intelligent semantic search, which can understand the context of the query, not just keyword matching.
Markdown document processing
Specifically optimized to process EIP Markdown format documents, supporting intelligent chunking and efficient storage and retrieval.
AI assistant integration
Designed specifically for AI assistants, providing a seamless integration experience through the Model Context Protocol (MCP) standard.
Advantages
Intelligent semantic understanding: Can understand the deep meaning of natural language queries.
Efficient retrieval: Quickly return the most relevant EIP document content.
User-friendly: No need to remember specific EIP numbers, you can query using natural language.
Standardized integration: Complies with the MCP protocol and is compatible with mainstream AI platforms.
Limitations
Need to pre-load EIP document data.
Dependent on the support and integration of the AI platform.
Semantic search may occasionally have relevance deviations.

How to use

Installation preparation
Ensure that Python 3.10+ and the uv tool are installed on the system, and clone the project repository.
Install dependencies
Use the uv tool to install all the dependency packages required by the project.
Load EIP data
Run the script to automatically download and process all EIP documents.
Install to the AI platform
Install the server to Claude Desktop or other AI platforms that support MCP.

Usage examples

Find the functional description of CREATE2
When you want to understand the specific implementation and technical details of the CREATE2 opcode.
Research contract deployment standards
When developing a new contract, you need to refer to existing deployment standards and best practices.
Learn about ERC standards
Understand the technical specifications and requirements of various ERC token standards.

Frequently Asked Questions

Do I need programming knowledge to use this service?
Does this service include all EIP documents?
Are the search results real-time?
Which AI platforms are supported?

Related resources

GitHub project repository
Get the latest code and detailed technical documentation.
Model Context Protocol documentation
Understand the technical specifications and standards of the MCP protocol.
Ethereum EIP official repository
View the complete EIP documents and proposal process.
uv tool documentation
Usage guide for the Python dependency management tool uv.

Installation

Copy the following command to your Client for configuration
{
       "mcpServers": {
           "EIPs": {
               "command": "uv",
               "args": [ "--directory", "/path/to/eips-mcp", "run", "main.py" ]
           }
       }
    }
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
7.8K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
7.5K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
7.7K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
8.3K
4.5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.9K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.7K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.3K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.2K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
27.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.7K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
19.9K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
85.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase