io.github.Evozim/token-diet

imported from mcp-registrymcp

LLM token optimization gateway implementing semantic pruning.

Tags: ai

Endpoint: https://token-diet-mcp.vercel.app/api/mcp

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

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io.github.Evozim/tokenburn-optimizer — LLM query cost optimizer minimizing context waste.
io.github.pgalyen1987/tokensqueezer — x402-gated LLM token compressor: strip filler, collapse JSON, densify prose. Paid in USDC.
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.ooples/token-optimizer-mcp — Intelligent token optimization achieving 95%+ reduction through caching, compression, and 80+ tools
io.github.xelektron/token-enhancer — Cuts AI web-fetching costs up to 99.9% by stripping page junk before it reaches your LLM.
io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage — LLM cost optimizer for OpenAI, Anthropic, token usage, BYOK, and SkillFM Beacon audits.
io.github.Shweta-Mishra-ai/tokenmizer — Graph-backed session memory for LLMs: checkpoint, resume, file analysis, token-savings stats.
io.github.base76-research-lab/token-compressor — Compress prompts 40-60% using local LLM + embedding validation. Preserves all conditionals.

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