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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
shivam-app-developers avatar

Ai Optimizer

shivam-app-developers/ai-optimizer
authSTDIOregistry active
Summary

If your AI coding agent is burning tokens reading generated files, build artifacts, and node_modules every session, this intercepts MCP file operations and strips framework noise before it hits the model. It registers optimized_read_file, optimized_list_files, optimized_grep, and optimized_diagnostics tools that apply framework-aware ignore rules (Python, JS/TS included, with paid packs for React, Flutter, Go, and others). Works with Claude Code, Cursor, Cline, Continue, and anything else speaking stdio MCP. The core is MIT licensed with automatic detection via pyproject.toml or package.json. Pro tier adds LSP integration for read_symbol and history compaction. Install globally with npm, point your agent's config at the ai-optimizer command, and it claims 60-80% token reduction on typical sessions.

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AI Token Optimizer

An MCP server that cuts AI coding-agent token usage by 60–80% via framework-aware context optimization.

CI CodeQL npm License: MIT

AI coding agents read whole files when they need 15 lines. They load *.g.dart, R.java, node_modules/, and dist/ into context — then do it again next turn. AI Token Optimizer is a Model Context Protocol server that intercepts those tool calls and strips framework noise before it reaches the model.

Works with anything that speaks MCP: Claude Code, Cursor, Cline, Continue, Zed, JetBrains AI, GitHub Copilot agent mode, Antigravity, Windsurf, OpenAI Codex CLI.

Quickstart

npm install -g @ai-optimizer/core

Then point your agent at the ai-optimizer stdio server. For Claude Code, add to ~/.claude/settings.json:

{
  "mcpServers": {
    "ai-optimizer": {
      "command": "ai-optimizer"
    }
  }
}

Or scaffold the config and preview your savings automatically:

npx @ai-optimizer/init
# "we'd skip 47 files, ~14K tokens/session, ~$0.42/session at Sonnet pricing"

Full per-agent setup (Cursor, others), LSP install, and verification steps live in packages/core/README.md.

What it does

It registers tools the agent uses instead of its built-in file/dir/error reads:

ToolWhat it saves
optimized_read_fileFramework-aware skip + optional line slice
optimized_list_filesWalks the tree applying ignore globs (+ .gitignore)
optimized_grepContent search scoped by ignore filters
optimized_diagnosticsSpawns the right LSP, returns errors + a narrow code window
read_symbolLSP workspace/symbol slice instead of a full-file read (Pro/LSP)
strip_bash_noiseStrips ANSI, npm/maven/gradle progress, JVM warnings
optimizer_statusDetected frameworks, active packs, cumulative tokens saved

When a project type is detected (e.g. Python via pyproject.toml), the matching pack's ignore rules activate automatically. .gitignore is respected on top.

Tiers

Free (MIT core)Pro ($9/mo)Team ($29/seat)
Framework packsPython, JS/TS+ React, Flutter, Java, Kotlin, Go, Rust, C#, Swift, Ruby, Elixir, PHP, Solidityall Pro packs
History compaction—✓✓
Scheduler (claude -p cron)—✓+ work-stealing across providers
Audit log + secret redaction + policy——✓

See PRICING.md. Behavior-changing or data-sharing features (scheduler, work-stealing, telemetry) are off by default and require explicit opt-in. Display-only features (dollar-value savings) default on.

Monorepo layout

PackagePurposePublished
packages/coreMCP server + free packsnpm (MIT)
packages/initnpx @ai-optimizer/init config + savings previewnpm
packages/sdkdefinePack plugin SDKnpm
packages/context-mode-importImport .contextmode configsnpm
packages/proPro/Team packs + scheduler + auditprivate
apps/landing, apps/dashboard, apps/vscode-extension, apps/license-serverSite, local dashboard, IDE widget, license issuanceprivate
tools/pack-benchPack quality benchmark harnessprivate

Architecture details: ARCHITECTURE.md.

Development

npm install            # at repo root (workspaces)
npm run build          # build all packages
npm test               # run all test suites

Security

Local-only by design — license validation is the only network call. Report vulnerabilities per SECURITY.md.

License

Core engine is MIT — see LICENSE. Pro/Team packs are proprietary.

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Configuration

AI_OPTIMIZER_LICENSEsecret

Ed25519 JWT license key. Unlocks Pro/Team packs; free tier needs no key.

AI_OPTIMIZER_LSP

Set to 0 to disable the LSP bridge (optimized_diagnostics).

AI_OPTIMIZER_TELEMETRY

Set to 'on' to enable anonymous opt-in telemetry. Off by default.

Categories
AI & LLM Tools
Registryactive
Package@ai-optimizer/core
TransportSTDIO
AuthRequired
UpdatedJun 6, 2026
View on GitHub

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