by zilliztech · MCP Server · ★ 12.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx @zilliz/claude-context-mcp@latest
git clone https://github.com/zilliztech/claude-context.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 12,541 |
| Forks | 926 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 146 |
| Last Updated | 2026-07-14 |
| Created | 2025-06-06 |
| Platforms | claude-code, cli, gemini, mcp, node, vscode |
| Est. Tokens | ~19k |
Your entire codebase as Claude's context Claude Context is an MCP plugin that adds semantic
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.
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
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Zero-Config Code Flow for Claude code & Codex
Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your a
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabi
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: