Token Enhancer FAQs

Question 1

What is Token Enhancer and how does it dramatically reduce token usage?

Accepted Answer

Token Enhancer is a local proxy that strips raw HTML/JSON from web pages, leaving only clean, essential text. This process dramatically reduces the data (tokens) an AI agent needs to process, cutting down context window usage and costs by up to 99.6% for certain pages, allowing your AI to focus on relevant information.

Question 2

What AI agents or platforms can Token Enhancer integrate with?

Accepted Answer

Token Enhancer offers seamless integration as an MCP Server for AI agents like Claude Desktop, Cursor, and OpenClaw, enabling automatic tool discovery. It also provides full LangChain Tool compatibility for custom agent workflows, making it versatile for various AI environments.

Question 3

Does Token Enhancer require any API keys, LLMs, or GPUs to run?

Accepted Answer

No, Token Enhancer is designed to be a lightweight, self-contained Python-based solution. It operates entirely locally without the need for external API keys, commercial Large Language Models (LLMs), or specialized GPU hardware, making it cost-effective and private.

Question 4

Beyond token reduction, what other key features does Token Enhancer offer?

Accepted Answer

Beyond its core data proxy for HTML/JSON noise stripping and clean text return, Token Enhancer includes results caching for instant repeat fetches, and an optional 'Prompt Refiner' (Layer 1) to strip filler words and hedging from your prompts, further optimizing AI interactions.

Question 5

How easy is it to set up and start using Token Enhancer?

Accepted Answer

Token Enhancer is designed for straightforward installation via `pip`. For AI agents supporting MCP Server, it offers a plug-and-play setup that automatically makes its tools available. For custom Python applications, a simple LangChain tool integration example is provided, requiring only the proxy to be running.

Token Enhancer

Token Enhancer

Características Principales

Casos de Uso

Características Principales

Casos de Uso