Eth Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Eth Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A Model Context Protocol (MCP) server for interacting with Ethereum blockchain.
This MCP server provides tools to query Ethereum blockchain data through standard JSON-RPC methods. It enables AI assistants and applications to interact with the Ethereum blockchain through a standardized protocol.
This MCP server provides three key Ethereum RPC methods as tools:
Note: More are coming
To add this MCP to Cursor:
git clone https://github.com/yourusername/eth-mpc.git node /path/to/eth-mpc/index.jsAdding Ethereum MCP to Cursor
Once added, the Ethereum RPC tools will be available to use within Cursor.
The server uses stdio transport, making it compatible with MCP clients like Claude Desktop, Cursor, and others.
The MCP Inspector is a development tool for testing and debugging MCP servers. It provides an interactive interface to test your MCP server's functionality without needing a full AI client.
To test your Ethereum RPC MCP server with the Inspector:
To run the Inspector:
npx @modelcontextprotocol/inspectorThe Inspector allows you to:
For example, to test the eth_getBalance tool:
0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045 - Vitalik's address)latest)This MCP server can be integrated with any MCP-compatible client, including:
When integrated, the client application can use the tools provided by this server to query Ethereum blockchain data directly.
Model Context Protocol (MCP) is an open standard that allows AI models to interact with various tools and services. It provides a standardized way for developers to expose APIs, data sources, and functionality to AI assistants.
MCP servers like this one form part of an ecosystem that allows AI assistants to perform complex tasks across multiple services without requiring custom integration for each service.
📚 Official Documentation: Model Context Protocol Overview
MIT
Contributions are welcome! Please feel free to submit a Pull Request.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.