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 zilliztech · MCP Server · ★ 12.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-context safe to install? View the security audit →
Your entire codebase as Claude's context Claude Context is an MCP plugin that adds semantic
| Stars | 12,541 |
| Forks | 926 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.4416929024277/100 |
| Open Issues | 146 |
| Last Updated | 2026-07-14 |
| Created | 2025-06-06 |
| Platforms | claude-code, cli, gemini, mcp, node, vscode |
| Est. Tokens | ~19k |
Looking for a claude-context alternative? If you're comparing claude-context with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answer
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Pr
Installable GitHub library of 1,800+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravit
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claude-context is Code search MCP for Claude Code. Make entire codebase the context for any coding agent.. It is categorized as a MCP Server with 12.5k GitHub stars.
claude-context is primarily written in TypeScript. It covers topics such as agent, agentic-rag, ai-coding.
You can find installation instructions and usage details in the claude-context GitHub repository at github.com/zilliztech/claude-context. The project has 12.5k stars and 926 forks, indicating an active community.
claude-context is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-context on Agent Skills Hub include headroom, ai-guide, antigravity-awesome-skills. 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: