explaingit

zilliztech/claude-context

11,013TypeScriptAudience · developerComplexity · 3/5LicenseSetup · moderate

TLDR

Claude Context is an MCP plugin that indexes your entire codebase into a vector database so AI coding assistants can search your code by meaning, not just exact text, pulling in only relevant snippets.

Mindmap

mindmap
  root((claude-context))
    What it does
      Semantic code search
      Vector indexing
      MCP integration
    Tech stack
      TypeScript plugin
      Zilliz Cloud DB
      OpenAI embeddings
    Use cases
      Large codebase search
      AI context cost cut
      Multi-tool setup
    Audience
      AI tool users
      Large project devs
      Cost-aware teams
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Things people build with this

USE CASE 1

Index a large codebase so Claude Code or Cursor can find relevant files by meaning without you manually pointing to them

USE CASE 2

Reduce AI API costs by loading only relevant code snippets into context instead of entire directories

USE CASE 3

Configure semantic codebase search for any MCP-compatible AI tool including Claude Code, Cursor, Windsurf, or Gemini CLI

Tech stack

TypeScriptMCPOpenAI APIZilliz Cloud

Getting it running

Difficulty · moderate Time to first run · 30min

Requires a Zilliz Cloud account (free tier available) and an OpenAI API key for the embedding model.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

Claude Context is a plugin that gives AI coding assistants (like Claude Code or Cursor) the ability to search your entire codebase by meaning rather than by exact text match. When you ask an AI assistant to help with a coding task, it normally only sees the files you have open or the small snippet you paste in. Claude Context changes that by indexing all of your code into a vector database, a kind of database that stores the meaning of text as numbers, then retrieving the most relevant pieces whenever the AI needs them. The connection between the plugin and the AI assistant goes through something called MCP (Model Context Protocol), which is a standard way for tools to plug into AI coding environments. Once configured, the AI can call into Claude Context to find relevant code from across your project without you having to manually point it to the right files. This approach is described as cost-effective because it avoids loading entire folders of code into the AI on every request, which can be expensive when AI services charge per amount of text processed. Instead, only the relevant portions are pulled in. Setting it up requires two external services: a Zilliz Cloud account (which provides the vector database, with a free tier available) and an OpenAI API key (used for the embedding model that converts code into searchable number representations). Configuration involves adding a few lines to a settings file in whichever coding tool you use, and the README covers setup for Claude Code, Cursor, Gemini CLI, Windsurf, and several others. The project is MIT licensed and published by Zilliz, the company behind the Milvus open source vector database. It is aimed at developers working on large codebases who want their AI assistant to have broader awareness of the project without manual file management.

Copy-paste prompts

Prompt 1
Show me how to set up claude-context with Claude Code so it can search my entire codebase semantically via MCP
Prompt 2
How do I configure claude-context in Cursor to enable meaning-based code search across my project?
Prompt 3
Walk me through creating a free Zilliz Cloud account and connecting it to claude-context for vector storage
Prompt 4
How does claude-context decide which code snippets to retrieve when an AI assistant asks a question?
Prompt 5
What is the cost difference between using claude-context versus loading whole folders into an AI assistant's context window?
Open on GitHub → Explain another repo

← zilliztech on gitmyhub — every repo by this author, as a profile.

Verify against the repo before relying on details.