No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by mcpdotdirect · MCP Server · ★ 380
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EVM MCP Server A comprehensive Model Context Protocol (MCP) server that provides blockchain services across 60+ EVM-compatible networks. This server enables AI agents to interact with Ethereum, Optimism, Arbitrum, Base, Polygon, and many other EVM chains with a unified interface through 22 tools and 10 AI-guided prompts. 📋 Contents Overview Features Supported Networks Prerequisites Installation Configuration Environment Variables Server Configuration Usage API Reference Tools Prompts Resources Security Considerations Project Structure Development License 🔭 Overview The MCP EVM Server leverages the Model Context Protocol to provide blockchain services to AI agents. It supports a wide range of services including: Reading blockchain state (balances, transactions, blocks, etc.) Interacting with smart contracts with autom
| Stars | 380 |
| Forks | 104 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.7680286607795/100 |
| Open Issues | 11 |
| Last Updated | 2026-08-01 |
| Created | 2025-03-08 |
| Platforms | mcp, node |
| Est. Tokens | ~8k |
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evm-mcp-server is MCP server that provides LLMs with tools for interacting with EVM networks. It is categorized as a MCP Server with 380 GitHub stars.
evm-mcp-server is primarily written in TypeScript. It covers topics such as agent, blockchain, ethereum.
You can find installation instructions and usage details in the evm-mcp-server GitHub repository at github.com/mcpdotdirect/evm-mcp-server. The project has 380 stars and 104 forks, indicating an active community.
evm-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to evm-mcp-server on Agent Skills Hub include paperdebugger, agents, better-chatbot. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.