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 e2b-dev · MCP Server · ★ 394
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-server safe to install? View the security audit →
E2B MCP Server This repository contains the source code for the E2B MCP server. The E2B MCP server allows you to add code interpreting capabilities to your Claude Desktop app via the E2B Sandbox. See demo here. Available in two editions: JavaScript Python Installing via Smithery You can also install E2B for Claude Desktop automatically via Smithery:
| Stars | 394 |
| Forks | 69 |
| Language | JavaScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 61.1683914407393/100 |
| Open Issues | 5 |
| Last Updated | 2026-04-16 |
| Created | 2024-12-01 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~29k |
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mcp-server is Giving Claude ability to run code with E2B via MCP (Model Context Protocol). It is categorized as a MCP Server with 394 GitHub stars.
mcp-server is primarily written in JavaScript. It covers topics such as anthropic, claude, claude-3-5-sonnet.
You can find installation instructions and usage details in the mcp-server GitHub repository at github.com/e2b-dev/mcp-server. The project has 394 stars and 69 forks, indicating an active community.
mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-server on Agent Skills Hub include claude-ai-mcp, tuui, mcp-nixos. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: