SearchEmbedSDK
Active·★ 21·AGPL-3.0·Updated 2026-05-28
★ Trending★ RAG / Knowledge Base★ API Integration
contextcore, handles everything you need in one place
ContextCore indexes local files including text, code, images, audio, and video, and provides a CLI, backend server, and MCP integration for AI tools. It reduces token usage by 50-99% by sending only relevant context. Supports Python 3.10+ on Windows, macOS, and Linux.
#claude-tools#clip#cost-optimization#embeddings#mcp-server#mcp-servers#python
01
Features
01Local indexing for text, code, images, audio, and video
02CLI commands for indexing, status, and server management
03MCP server for integration with Claude Desktop and other AI tools
04Token reduction and context optimization
05Automatic registration with AI tools via CLI
02
Compatibility
Python
Python 3.10+
Verified via docs
Windows
Windows
Verified via docs
macOS
macOS
Verified via docs
Linux
Linux
Verified via docs
ffmpeg
ffmpeg (video)
Verified via docs
03
Quick start
1
$ python -m pip install contextcore==0.1.0
04
Use cases
↳Enhancing Claude or other AI models with local file context
↳Reducing API costs by filtering irrelevant context before sending
↳Codebase context for reasoning over project structure and dependencies
05
Alternatives
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Comments
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- QQuinn ZhangMay 13, 2026
Unified search and embedding SDK that handles the full retrieval pipeline.
- SSam PatelApr 30, 2026
Search and embedding primitives are well-designed for AI application development.
- SSasha WilsonApr 21, 2026
Good for developers building RAG applications who want a single SDK.
- FFinley JohnsonApr 18, 2026
Works with ContextCore for an integrated context management solution.