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claude-context

Add semantic code search to Claude Code and AI agents using vector databases.

Code search MCP for Claude Code

Make your entire codebase the context for any coding agent using semantic search.

Free forever · open source · MIT
✓ Light setup✓ Browser-based✓ Real-time collaboration
7.5
ZEKAI
Semantic context for AI agents
Free & open source · Software
Ease of setup5
Usefulness8
Maintenance8.5
Community8.5
★ 12,572
GITHUB
Jul 2026
UPDATED
MIT
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

Claude Context is an MCP plugin that indexes your codebase into a vector database for semantic search. It allows coding agents like Claude Code to retrieve relevant snippets from millions of lines without loading entire directories.

Runs on
Cross-platform
Hosting
Cloud or self-host
Languages
TypeScript
License
MIT

What it is

It integrates via the Model Context Protocol to provide semantic code search across large repositories. Instead of multi-round discovery or expensive full-directory context loads, it brings related code straight into your AI agent.

Who it's for

It suits developers working with massive codebases using AI coding assistants like Claude Code, Cursor, or Cline. It does not suit teams wanting a zero-config local setup since it requires external vector database and embedding services.

Key features

Semantic Code Search

Finds relevant code across millions of lines using vector embeddings.

Model Context Protocol

Integrates natively with Claude Code, Cursor, Cline, Windsurf, and other MCP clients.

Cost-Effective Context

Only sends related code into the agent's context to reduce token costs on large codebases.

Vector DB Backed

Leverages Zilliz Cloud and OpenAI embeddings to store and query your codebase.

How to start

Up and running in 3 steps

1
Sign up for Zilliz Cloud to get a vector database API key and endpoint.
2
Obtain an OpenAI API key for the embedding model.
3
Configure your chosen MCP client (like Claude Code or Cursor) with the required environment variables and run command.
Real talk

Our honest verdict

What's great

  • Integrates seamlessly with popular AI coding assistants through MCP
  • Reduces token costs by fetching only relevant code snippets for large projects
  • Supports a wide range of clients including Claude Code, Cursor, and VS Code
  • Handles millions of lines of code via vector database indexing

Where it falls short

  • Requires an external Zilliz Cloud vector database account and API key
  • Requires a paid OpenAI API key for generating embedding models
  • Setup involves multiple environment variables across MCP configuration files
Cost

Pricing & license

The software is free under the MIT license, but running it requires third-party API services including Zilliz Cloud and OpenAI which have their own usage pricing.

Paid work

Open remote AI-training roles

880 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

What AI coding assistants are supported?

It supports Claude Code, Cursor, Codex CLI, Gemini CLI, Qwen Code, Void, Claude Desktop, Windsurf, VS Code, Cherry Studio, and Cline.

What external services are required?

You need a Zilliz Cloud account for vector storage and an OpenAI API key for generating code embeddings.

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