Token Diet
Count tokens exactly for any text and see if it fits a 128K, 200K or 1M context window.
Servidor MCP · de clawhard.com
Resumo
Token Diet é um servidor MCP publicado por clawhard.com. Marketplaces que lemos e que o listam: 1 (Official MCP Registry). Vimos pela primeira vez em 2026-11-02 e não registramos mudanças desde então. Conforme nossa passagem pelos marketplaces em 2026-11-15.
O que pede
- Roda remotamente
Nenhum dos marketplaces que lemos publica as ferramentas ou as configurações que ele pede.
O que declara, pede e executa, por completo
Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.
Funciona com
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Um link de um clique abre o cliente, que pede confirmação antes de adicionar o servidor.
Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.
Conectar
Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.
Como servidor MCP remoto
Gerado a partir do que Official MCP Registry declara.
claude mcp add --transport http tokendiet https://tokendiet.clawhard.com/mcp[mcp_servers.tokendiet]
url = "https://tokendiet.clawhard.com/mcp"{
"mcpServers": {
"tokendiet": {
"url": "https://tokendiet.clawhard.com/mcp"
}
}
}Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir o registro) | Listado | 1.1.0 | Nenhum número publicado | Sem marcação |
Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.
O que mudou
- Passou a ser um produto que acompanhamos
- Official MCP Registry: apareceu
Plugins semelhantes
Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.
-
AI Operations Team — Token: Context window optimization, token counting, truncation strategies, and chunking patterns for LLM efficiency.
-
Count and cut tokens in prompts, chats and agents for any model. Runs locally, collects no data.
-
Counts tokens under OpenAI-compatible (tiktoken) encodings, by model or encoding name.
-
Count tokens (o200k/cl100k), truncate to a budget, chunk text for RAG and estimate LLM cost.
-
QuickBuild token-saver tools + x402
Free no-LLM token savers: URL→Markdown, outline, JSON trim, log compress, token count; x402 extras
-
mcp-token-optimizer io.github.rccola990-cloud/mcp-token-optimizer
Cut LLM token costs: count tokens, estimate cost, slim prompts, and pick the cheapest capable model.
-
GenPark Context Window Token Pruner
Priority-weighted context window token pruner and FIFO eviction engine protecting LLM prompt boundar
-
ai-token-counter io.github.lazymac2x/ai-token-counter
Cloudflare Workers MCP server: ai-token-counter
-
TokenSqueezer LLM Token Compressor
x402-gated LLM token compressor: strip filler, collapse JSON, densify prose. Paid in USDC.
-
Token counting, RAG chunking, truncation, HTML to Markdown and JSON repair
Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
Listado em Claude Code: claude-plugins-community (5)
-
AI eXchange Optimised Notation plugin converts your inputs into a machine-to-machine language to reduce token usage by up to 80% depending on the context.
-
A Claude Code plugin that routes text-heavy tasks to the right Claude model — saving tokens without sacrificing quality. Why Planning, CLAUDE.md generation, README writing, and…
-
Two skills that help you understand and optimize your Claude Code context window. Inspect Context gives you a full token breakdown by source (files, history, skills, MCP configs…
-
Plan tasks with optimal model routing to minimize token usage. Breaks work into steps, assigns each the right model (Haiku/Sonnet/Opus), adds quality gates between stages…
-
Token-optimized document reader — silently compresses .md, .html, and .txt files on every Read, cutting context usage by ~30% with zero workflow change. Adaptive 4-stage…
Listado em Claude Code: claude-plugins-official (5)
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
-
OpenTelemetry observability for Claude Code sessions. Captures tool calls, LLM invocations, token usage, and errors as OTel traces. Send telemetry to Dash0 or any…
-
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
-
Build, train, evaluate, and use open source AI models, datasets, and spaces.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
Listado em Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
MCP server for terminal commands, file operations, and process management
-
Discover your brand voice from existing documents and conversations, generate enforceable guidelines, and validate AI-generated content against your established tone and…
Listado em Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Install, open, and connect the signed ChatCut Desktop app from Codex.
-
AI-powered code review in Codex, powered by CodeRabbit.
Listado em Community GitHub marketplaces (5)
-
AI Operations Team — Token: Context window optimization, token counting, truncation strategies, and chunking patterns for LLM efficiency.
-
tokenization
Text tokenization for LLMs including HuggingFace Tokenizers and SentencePiece. Use when training custom tokenizers or handling multilingual text.
-
Skill: add headroom-ai compress to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
-
Transparent, user-controlled detection of silent model downgrades in Codex sessions: a zero-token passive scan of the session rollout on every turn, plus ModelTrace fingerprint…
-
Cuts Claude Code reply length in half and removes mannered prose. 22 writing rules as a forced output style, a per-turn reminder against drift in long sessions, the same rules for…
Listado em Copilot CLI: github/awesome-copilot (5)
-
Multi-model council for Copilot CLI: three subagents on different model families (Anthropic, OpenAI, Google) answer independently, then build on each other or attack the leading…
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Shows live prompt-cache reuse, expiry, token composition, and AI Credit cost for the current GitHub Copilot session without making model calls.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
Listado em Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Advanced Security plugin for GitHub Copilot.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Listado em Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Add Grok voice to an app: realtime speech-to-speech, speech-to-text dictation, text-to-speech read-aloud, and a log-driven fix loop for voice sessions.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Generate presentations, documents, and webpages.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
Listado em Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Tools for interacting with Hugging Face models, datasets, research papers, and more.
-
Provides tools to search and retrieve Google Gemini API documentation.
-
Discovers and retrieves llms.txt from websites.
-
Production-ready RAG service to search and retrieve data from your documents.
Listado em Official MCP Registry (5)
-
Count and cut tokens in prompts, chats and agents for any model. Runs locally, collects no data.
-
Counts tokens under OpenAI-compatible (tiktoken) encodings, by model or encoding name.
-
Count tokens (o200k/cl100k), truncate to a budget, chunk text for RAG and estimate LLM cost.
-
QuickBuild token-saver tools + x402
Free no-LLM token savers: URL→Markdown, outline, JSON trim, log compress, token count; x402 extras
-
mcp-token-optimizer io.github.rccola990-cloud/mcp-token-optimizer
Cut LLM token costs: count tokens, estimate cost, slim prompts, and pick the cheapest capable model.
Listado em PyPI (MCP servers) (5)
-
local-delegate io.github.ZahiriNatZuke/local-delegate
Delegate mechanical text tasks to a local OpenAI-compatible LLM to save Claude quota.
-
MCP server for ruTS: statistics of Russian texts as tools for LLM agents
-
chinese-nlp-mcp io.github.leonmch-byte/chinese-nlp-mcp
Chinese NLP toolkit for MCP: segmentation, pinyin, keywords, sensitive words. Offline via stdio.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
mcp-openai io.github.AceDataCloud/mcp-openai
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
Listado em npm registry (MCP servers) (5)
-
Alibaba Cloud DashScope — Qwen
Alibaba Cloud DashScope MCP: Qwen chat, embeddings, and model discovery on your own account.
-
Reports real token usage and cost from Claude Code and OpenCode data. Nothing leaves your machine.
-
MCP server exposing String Utility Belt's utilities and pipelines as tools for AI agents.
-
token-optimizer-mcp io.github.ooples/token-optimizer-mcp
Context-window optimization: caching, compression & smart file tools that cut tokens 60-90%.
-
rubber-duck io.github.nesquikm/rubber-duck
Bridge to multiple LLMs and CLI agents: councils, debates, voting, and more
Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.
Quer esta marca no seu plugin em nosso catálogo?
Prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS, e você poderá mostrar esta marca na ficha, com banners ao vivo para o seu site e o README. Como funciona a verificação
Você também recebe alertas quando um marketplace o publica, o remove, muda a marca de verificado ou o que ele pede, e o endpoint remoto passa a ser monitorado como um serviço web.
Adicione um banner dinâmico ao seu README ou site
Mostre dados atualizados do catálogo no seu site ou README do GitHub. Escolha um banner dinâmico ou um selo compacto.
Dados de Official MCP Registry. Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.