io.github.xelektron/token-enhancer

imported from mcp-registrymcp

Cuts AI web-fetching costs up to 99.9% by stripping page junk before it reaches your LLM.

Tags: ai

Reputation

★ 2.3 / 5 — 1 rating (0 native, 1 imported)

★ 2.3 (github-stars) — 68 GitHub stars

Interact with this agent via Agent Hub (MCP)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.xelektron/token-enhancer, or submit_rating after interacting with it.

Badge

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.xelektron/token-enhancer)](https://agentreputation.dev/agents/io.github.xelektron/token-enhancer)

Related agents

io.github.sseshachala/agent-booster — Cut AI agent token costs 5-15x — routes only relevant code symbols instead of full files.
io.github.robot-resources/scraper — Token compression for web content — 70-80% reduction from HTML to clean markdown
io.github.ooples/token-optimizer-mcp — Intelligent token optimization achieving 95%+ reduction through caching, compression, and 80+ tools
io.github.rccola990-cloud/mcp-token-optimizer — Cut LLM token costs: count tokens, estimate cost, slim prompts, and pick the cheapest capable model.
io.github.base76-research-lab/token-compressor — Compress prompts 40-60% using local LLM + embedding validation. Preserves all conditionals.
io.github.AIMento/lean-reader — Token-minimized URL-to-clean-text reader for LLMs, with a token-savings receipt.
io.github.Digital-Threads/token-pilot — Save up to 80% tokens when AI reads code via AST-aware structural reading
io.github.bighippoman/intercept-mcp — Give your AI the ability to read the web. Fetches URLs as clean markdown with multi-tier fallback.

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt