by zilliztech · MCP Server · ★ 10.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Your entire codebase as Claude's context Claude Context is an MCP plugin that adds semantic
| Stars | 10,701 |
| Forks | 787 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 55.26/100 |
| Open Issues | 104 |
| Last Updated | 2026-05-05 |
| Created | 2025-06-06 |
| Platforms | claude-code, cli, gemini, mcp, node, vscode |
| Est. Tokens | ~561k |
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.
Installable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravit
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)、最新 AI 资讯、Prompt 提
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Zero-Config Code Flow for Claude code & Codex
Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP:
AI低代码平台,支持「低代码 + 零代码」双模式:零代码 5 分钟搭建业务系统,低代码模式一键生成前后端代码。 内置AI 应用,支持AI聊天、知识库、流程编排、MCP与插件,支持各种模型。Skills能力实现:一句话画流
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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 10.7k 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 10.7k stars and 787 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 antigravity-awesome-skills, ai-guide, voltagent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.