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 Context-Engine-AI · MCP Server · ★ 402
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Context-Engine safe to install? View the security audit →
Context Engine Semantic code search, memory, and symbol intelligence for AI coding assistants. Get your free account at dev.context-engine.ai Website · Get Started · License Install Skills Context Engine ships AI agent skills that teach your coding assistant how to use 30+ MCP tools for semantic search, symbol graph navigation, memory, and more. Claude Code / Claude Desktop Recommended: Install natively from the public GitHub repo: This pulls the skill directly from GitHub and auto-loads MCP tool guidance into your session. Alternatively, copy the rules file manually: Cursor Context Engine rules are included in at the root of your workspace. Cursor picks this up automatically when the file is present. Codex (OpenAI) Recommended: Install natively using the built-in skill installer — just ask Codex: "Ins
| Stars | 402 |
| Forks | 54 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.4425312827607/100 |
| Open Issues | 7 |
| Last Updated | 2026-07-08 |
| Created | 2025-10-08 |
| Platforms | codex, mcp, python |
| Est. Tokens | ~14k |
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Context-Engine is Context-Engine MCP - Agentic Context Compression Suite. It is categorized as a MCP Server with 402 GitHub stars.
Context-Engine is primarily written in Python. It covers topics such as ai, ai-agents, codex.
You can find installation instructions and usage details in the Context-Engine GitHub repository at github.com/Context-Engine-AI/Context-Engine. The project has 402 stars and 54 forks, indicating an active community.
Context-Engine is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Context-Engine on Agent Skills Hub include OpenContext, atlassian-mcp-server, octocode-mcp. 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: