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ooples/token-optimizer-mcp

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

JavaScript ◇ ai MIT
★538STARS
⑂66FORKS
!10ISSUES
🏆#6,281GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+13

STARS · LAST 30 DAYS

1

PER DAY

#473

MOST-STARRED JavaScript

Window7 days30 days90 days
Stars gained+7+13+90
Per day111
Forks gained+1+3+10

token-optimizer-mcp gained 13 stars in the last 30 days, about 1 a day, and now has 538. It is about 1 year old and has averaged roughly 538 stars a year. It ranks #473 among JavaScript repositories and #6,281 across all languages on GitHubRepo.

Trending Record

token-optimizer-mcp has maintained a continuous presence across global trending indexes, peaking at #6339. Below is the 30-day activity profile:

💡 Overview

token-optimizer-mcp is an open-source project written in JavaScript: Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, caching, claude. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in JavaScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install token-optimizer-mcp

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18 or modern Evergreen browser

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

token-optimizer-mcp coordinates its core functionality through a modular JavaScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with token-optimizer-mcp.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install token-optimizer-mcp using your package manager: `npm install token-optimizer-mcp`

2

Initialize your project workspace or configuration file for token-optimizer-mcp.

3

Import token-optimizer-mcp into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `token-optimizer-mcp --help` to verify successful setup.

👍 Strengths

Active community backing with 538 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in JavaScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with JavaScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

ooples/token-optimizer-mcp is currently ranked #6,281 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,272 ProxyPanel/ProxyPanel PHP ★ 539 Compare ↗
#6,272 ProcessMaker/processmaker PHP ★ 539 Compare ↗
#6,272 google/mug Java ★ 539 Compare ↗
#6,272 RavelloH/InsightFlare TypeScript ★ 539 Compare ↗
#6,272 pinloop-ai/pinloop-cli TypeScript ★ 539 Compare ↗
#6,281 ooples/token-optimizer-mcp This Project JavaScript ★ 538
#6,281 fer0n/Unwatched Swift ★ 538 Compare ↗
#6,281 kubernetes/metrics Go ★ 538 Compare ↗
#6,284 ghbalf/freecad-ai Python ★ 537 Compare ↗
#6,284 radar/distance_of_time_in_words Ruby ★ 537 Compare ↗
#6,284 forceworkbench/forceworkbench PHP ★ 537 Compare ↗

Frequently Asked Questions

What does token-optimizer-mcp do? +

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

What language is token-optimizer-mcp written in? +

The primary language is JavaScript. Topics include: ai, caching, claude, compression, gemini-cli-extension.

Is token-optimizer-mcp actively maintained? +

Yes, the last recorded push was on Oct 5, 2026 with 10 open issues being tracked.

How many stars does token-optimizer-mcp have? +

token-optimizer-mcp has 538 stars and 66 forks on GitHub.

How does token-optimizer-mcp rank among GitHub repositories? +

With 538 stars, ooples/token-optimizer-mcp is ranked #6,281 globally across all repositories tracked on GitHubRepo and #473 among JavaScript projects.

What license is token-optimizer-mcp distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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