Strips web pages down to clean text, drastically reducing token usage and eliminating noise for AI agents.
Sponsored
AI agents often waste significant token budgets by processing raw HTML pages filled with navigation bars, ads, scripts, and other junk. Token Enhancer acts as a local proxy, sitting between your agent and the web. It fetches web pages, strips away the unnecessary noise, caches the clean result, and returns only the essential data, leading to up to 99.6% token reduction. This significantly cuts down on processing costs and improves the clarity of information presented to your AI models.
Key Features
010 GitHub stars
02Seamless integration as an MCP Server for AI agents (Claude Desktop, Cursor)
03Significant token reduction (up to 99.6% observed)
04Data proxy for fetching and cleaning web content (HTML, JSON, plain text)
05Built-in caching for instant repeat fetches
06Optional prompt refinement to strip filler words and hedging
Use Cases
01Integrating with AI development environments like Claude Desktop or Cursor for automated web data processing
02Reducing token costs and improving data quality for LLM-based applications that interact with the web
03Optimizing AI agent context windows by pre-cleaning web pages before processing
