by xelektron · MCP Server · ★ 45
Token Enhancer A local proxy that strips web pages down to clean text before they enter your AI agent's context window. One fetch of Yahoo Finance: 704,760 tokens → 2,625 tokens. 99.6% reduction. No API key. No LLM. No GPU. Just Python. The Problem AI agents waste most of their token budget loading raw HTML pages into context. A single Yahoo Finance page is 704K tokens of navigation bars, ads, scripts, and junk. Your agent pays for all of it before any reasoning happens. The Solution Token Enhancer sits between your agent and the web.
| Stars | 45 |
| Forks | 6 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.8774503874005/100 |
| Last Updated | 2026-04-03 |
| Created | 2026-03-25 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~990k |
Explore other popular mcp server tools:
token-enhancer is A local proxy that strips web pages down to clean text before they enter your AI agent's context window. 704K tokens → 2.6K tokens. No LLM required.. It is categorized as a MCP Server with 45 GitHub stars.
token-enhancer is primarily written in Python. It covers topics such as mcp-server.
You can find installation instructions and usage details in the token-enhancer GitHub repository at github.com/xelektron/token-enhancer. The project has 45 stars and 6 forks, indicating an active community.
token-enhancer is released under the MIT license, making it free to use and modify according to the license terms.