io.github.omkar9854/token_optimizer
Reversible context compression for AI agents: cut token usage up to 94%, originals retrievable
Servidor MCP · de omkar9854
Resumen
io.github.omkar9854/token_optimizer es un servidor MCP publicado por omkar9854. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). Lo vimos por primera vez el 2026-10-11 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-10-12.
Qué pide
- Se ejecuta en tu equipo
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
Lo que declara, pide y ejecuta, completo
Instale solo plugins de desarrolladores en los que confíe. Mostramos lo que publican los marketplaces y no probamos plugins.
Funciona con
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Un enlace de un clic abre el cliente, que pide confirmación antes de añadir el servidor.
Según los marketplaces que lo listan y el transporte MCP que declara, tal como lo documenta cada cliente. No probamos plugins.
Conectar
Comandos y configuraciones generados solo a partir de lo que declaran sus marketplaces. No los ejecutamos por usted ni probamos plugins.
Como servidor MCP local: paquete PyPI
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --transport stdio token-optimizer -- uvx slimctx[mcp_servers.token-optimizer]
command = "uvx"
args = ["slimctx"]{
"mcpServers": {
"token-optimizer": {
"command": "uvx",
"args": [
"slimctx"
]
}
}
}No guardamos argumentos de arranque. Si el servidor necesita alguno, su propia documentación los indica.
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 0.1.0 | Forks (GitHub): 0 Estrellas (GitHub): 1 |
Sin marca |
Cada cifra es del propio marketplace y nunca se suma entre marketplaces. Un marketplace que no publica cifras no muestra ninguna: sin número no es cero.
Qué cambió
Nada ha cambiado en este plugin desde que lo seguimos.
Plugins similares
Productos cuyos propios nombres, descripciones, herramientas y skills son los más cercanos a este por su significado, en todos los marketplaces que leemos. La cercanía se ordena solo dentro de esta lista.
-
token-compressor io.github.base76-research-lab/token-compressor
Compress prompts 40-60% using local LLM + embedding validation. Preserves all conditionals.
-
token-optimizer-mcp io.github.ooples/token-optimizer-mcp
Context-window optimization: caching, compression & smart file tools that cut tokens 60-90%.
-
semantic-frame io.github.Anarkitty1/semantic-frame
Token-efficient semantic compression for numerical data. 95%+ token reduction.
-
Pre-injection context compression for coding agents. Zero LLM calls, zero telemetry, offline-safe.
-
TokenSqueezer LLM Token Compressor
x402-gated LLM token compressor: strip filler, collapse JSON, densify prose. Paid in USDC.
-
smart-context-mcp io.github.Arrayo/smart-context-mcp
Reduces AI agent token usage by 90% via context compression and task checkpoint persistence.
-
Compress coding-agent context ~64%. Hosted Neural Keep MCP for Cursor/Claude/Codex.
-
MCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.
-
LLM token optimization gateway implementing semantic pruning.
-
slimcontext-mcp-server io.github.agentailor/slimcontext-mcp-server
MCP Server for SlimContext - AI chat history compression tools
Plugins similares por marketplace
La misma pregunta a cada marketplace por separado: ¿hay allí un equivalente de este plugin?
Publicado en 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.
-
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…
-
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…
-
Audit and optimize Claude Code context window usage. Runs a 9-phase analysis covering plugins, hooks, CLAUDE.md cascade, MCP servers, environment settings, zombie process…
-
prompt-squeeze builds prompt-cost discipline into Claude Code via three surfaces: /squeeze skill that compresses a verbose prompt into a token-efficient equivalent and renders a…
Publicado en Claude Code: claude-plugins-official (5)
-
Build, train, evaluate, and use open source AI models, datasets, and spaces.
-
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
AMD's verified Agent Skills in one plugin: route image/audio through local AI on Ryzen AI, serve LLMs on AMD Instinct GPUs with vLLM, optimize inference throughput with Hyperloom…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
Publicado en Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
MCP server for terminal commands, file operations, and process management
Publicado en Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Install, open, and connect the signed ChatCut Desktop app from Codex.
-
AI-powered code review in Codex, powered by CodeRabbit.
Publicado en Community GitHub marketplaces (5)
-
MCP tool-catalog compression for Claude Code. Compresses the tool discovery payload from 71,929 to 581 tokens (-99.2%). Auto-installs the zero-dependency mcptoon CLI…
-
Shared session bus so Cursor can hand off with Claude, Codex, Grok, and friends.
-
Dash0 Observability
OpenTelemetry observability for OpenAI Codex sessions. Captures prompts, tool calls, MCP calls, sub-agent activity, and token usage as OTel traces.
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
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 AIU cost for the current GitHub Copilot session without making model calls.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Advanced Security plugin for GitHub Copilot.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
Publicado en Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Build apps, scripts, and automations with the TypeScript SDK.
Publicado en Docker MCP Catalog (5)
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
Publicado en Official MCP Registry (5)
-
token-compressor io.github.base76-research-lab/token-compressor
Compress prompts 40-60% using local LLM + embedding validation. Preserves all conditionals.
-
token-optimizer-mcp io.github.ooples/token-optimizer-mcp
Context-window optimization: caching, compression & smart file tools that cut tokens 60-90%.
-
semantic-frame io.github.Anarkitty1/semantic-frame
Token-efficient semantic compression for numerical data. 95%+ token reduction.
-
Pre-injection context compression for coding agents. Zero LLM calls, zero telemetry, offline-safe.
-
TokenSqueezer LLM Token Compressor
x402-gated LLM token compressor: strip filler, collapse JSON, densify prose. Paid in USDC.
Encontrados por significado, no por código ni repositorio compartidos: los plugins similares siguen siendo productos distintos, y esto no es una reseña ni una recomendación.
¿Es tu plugin?
Añádelo a tus proyectos y demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS. Recibirás avisos cuando un marketplace lo publique, lo retire, cambie su marca verificada o lo que pide, y su endpoint remoto quedará monitorizado como un servicio web.
Datos de Official MCP Registry. Las cifras proceden de nuestros propios recorridos periódicos por los marketplaces, leída por última vez el . No publicamos datos de contacto de los editores de plugins.