claude-context

概要

Claude Context は MCP サーバーで、C Claude Code などの AI プログラミングアシスタントが全体のコード ライブラリをセマンティックに検索できます。 コストを削減するために、ベクトルに組み込まれて関連するコードのパーツを効率的に取得し、完全なディレクトリのロードを回避します。

README プレビュー

\n\n> 🆕 **Looking for persistent memory for Claude Code?** Check out [memsearch Claude Code plugin](https://github.com/zilliztech/memsearch#for-claude-code-users) — a markdown-first memory system that gives your AI agent long-term memory across sessions.\n\n### Your entire codebase as Claude's context\n\n[](https://opensource.org/licenses/MIT)\n[](https://nodejs.org/)\n[](docs/)\n[](https://marketplace.visualstudio.com/items?itemName=zilliz.semanticcodesearch)\n[](https://www.npmjs.com/package/@zilliz/claude-context-core)\n[](https://www.npmjs.com/package/@zilliz/claude-context-mcp)\n[](https://twitter.com/zilliz_universe)\n[](https://deepwiki.com/zilliztech/claude-context)\n\n\n\n\n**Claude Context** is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase.\n\n🧠 **Your Entire Codebase as Context**: Claude Context uses semantic search to find all relevant code from millions of lines. No multi-round discovery needed. It brings results straight into the Claude's context.\n\n💰 **Cost-Effective for Large Codebases**: Instead of loading entire directories into Claude for every request, which can be very expensive, Claude Context efficiently stores your codebase in a vector database and only uses related code in context to keep your costs manageable.\n\n---\n\n## 🚀 Demo\n\n\n\nModel Context Protocol (MCP) allows you to integrate Claude Context with your favorite AI coding assistants, e.g. Claude Code.\n\n## Quick Start\n\n### Prerequisites\n\n\nGet a free vector database on Zilliz Cloud 👈\n\nClaude Context needs a vector database. You can [sign up](https://cloud.zilliz.com/signup?utm_source=github&utm_medium=referral&utm_campaign=2507-codecontext-readme) on Zilliz Cloud to get an API key.\n\n\n\nCopy your Personal Key to replace `your-zilliz-cloud-api-key` in the configuration examples.\n\n\n\nGet OpenAI API Key for embedding model\n\nYou need an OpenAI API key for the embedding mode