Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
MCP server that cuts AI coding agent token usage via framework-aware context optimization
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
AI_OPTIMIZER_LICENSE, AI_OPTIMIZER_LSP, AI_OPTIMIZER_TELEMETRYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"ai-optimizer": {
"command": "npx",
"args": [
"-y",
"@ai-optimizer/core"
],
"env": {
"AI_OPTIMIZER_LICENSE": "your-value",
"AI_OPTIMIZER_LSP": "your-value",
"AI_OPTIMIZER_TELEMETRY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add ai-optimizer --env AI_OPTIMIZER_LICENSE=your-value --env AI_OPTIMIZER_LSP=your-value --env AI_OPTIMIZER_TELEMETRY=your-value -- npx -y @ai-optimizer/coreFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ai-optimizer": {
"command": "npx",
"args": [
"-y",
"@ai-optimizer/core"
],
"env": {
"AI_OPTIMIZER_LICENSE": "your-value",
"AI_OPTIMIZER_LSP": "your-value",
"AI_OPTIMIZER_TELEMETRY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ai-optimizer": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ai-optimizer/core"
],
"env": {
"AI_OPTIMIZER_LICENSE": "your-value",
"AI_OPTIMIZER_LSP": "your-value",
"AI_OPTIMIZER_TELEMETRY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
AI_OPTIMIZER_LSP envAI_OPTIMIZER_TELEMETRY envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account shivam-app-developers, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: AI_OPTIMIZER_LICENSE
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Zoo MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
An MCP server that cuts AI coding-agent token usage by 60–80% via framework-aware context optimization.
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.
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
Full per-agent setup (Cursor, others), LSP install, and verification steps live in packages/core/README.md.
It registers tools the agent uses instead of its built-in file/dir/error reads:
| Tool | What it saves |
|---|---|
optimized_read_file | Framework-aware skip + optional line slice |
optimized_list_files | Walks the tree applying ignore globs (+ .gitignore) |
optimized_grep | Content search scoped by ignore filters |
optimized_diagnostics | Spawns the right LSP, returns errors + a narrow code window |
read_symbol | LSP workspace/symbol slice instead of a full-file read (Pro/LSP) |
strip_bash_noise | Strips ANSI, npm/maven/gradle progress, JVM warnings |
optimizer_status | Detected 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.
| Free (MIT core) | Pro ($9/mo) | Team ($29/seat) | |
|---|---|---|---|
| Framework packs | Python, JS/TS | + React, Flutter, Java, Kotlin, Go, Rust, C#, Swift, Ruby, Elixir, PHP, Solidity | all 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.
| Package | Purpose | Published |
|---|---|---|
packages/core | MCP server + free packs | npm (MIT) |
packages/init | npx @ai-optimizer/init config + savings preview | npm |
packages/sdk | definePack plugin SDK | npm |
packages/context-mode-import | Import .contextmode configs | npm |
packages/pro | Pro/Team packs + scheduler + audit | private |
apps/landing, apps/dashboard, apps/vscode-extension, apps/license-server | Site, local dashboard, IDE widget, license issuance | private |
tools/pack-bench | Pack quality benchmark harness | private |
Architecture details: ARCHITECTURE.md.
npm install # at repo root (workspaces)
npm run build # build all packages npm test # run all test suites
Local-only by design — license validation is the only network call. Report vulnerabilities per SECURITY.md.
Core engine is MIT — see LICENSE. Pro/Team packs are proprietary.