@ai-optimizer/core

@ai-optimizer/core

MCP server that cuts AI coding agent token usage via framework-aware context optimization.

Works with any MCP-compatible AI agent: Claude Code, Cursor, Cline, Continue, Zed, JetBrains AI, GitHub Copilot agent mode, Antigravity, Windsurf, OpenAI Codex CLI.

What it does

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

• optimized_read_file(path, startLine?, endLine?) — framework-aware skip + optional slice.
• optimized_list_files(directory, pattern?) — walks the tree applying ignore globs (and .gitignore when present).
• optimized_grep(pattern, directory?, flags?, filePattern?) — content search scoped by ignore filters; caps at 100 matches; skips files >2 MB.
• optimized_diagnostics(path, contextLines?) — spawns the right LSP (pyright / typescript-language-server) and returns errors + a narrow code window around each one. Use this before reading a whole file when fixing an error.
• strip_bash_noise(output) — strips ANSI codes, npm/maven/gradle progress lines, JVM reflective-access warnings, and collapses carriage-return progress bars from shell output.
• optimizer_status() — detected frameworks, active packs, gitignore + LSP status, cumulative tokens saved.

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

Install

npm install -g @ai-optimizer/core

This installs the ai-optimizer command (stdio MCP server).

For the LSP-backed optimized_diagnostics tool, install whichever language servers you want active:

npm install -g pyright typescript-language-server typescript

LSP is auto-detected per file extension. If the binary isn't on PATH, the tool simply returns no diagnostics — the rest of the server keeps working. Set AI_OPTIMIZER_LSP=0 to disable LSP entirely.

Configure your agent

Claude Code

Add to ~/.claude/settings.json (or .claude/settings.local.json in your project):

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

Cursor

Add to ~/.cursor/mcp.json:

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

Other agents

Anything that speaks MCP and supports command-based stdio servers — point it at ai-optimizer and you're done.

Verify it's working

In your agent, ask:

Use the optimizer_status tool.

You should see something like:

Project root: /path/to/your/project
Detected frameworks: python
Active packs: Python
.gitignore: active
LSP bridge: enabled

Tokens saved this session: 0
Operations: 0

Then ask the agent to use optimized_list_files on your project. It should skip __pycache__/, .venv/, node_modules/, dist/, etc., and report tokens saved.

Supported frameworks (free tier)

• Python — pyproject.toml, requirements.txt, setup.py, Pipfile, poetry.lock, uv.lock
  • Ignores: __pycache__/, *.pyc, .venv/, venv/, .pytest_cache/, .mypy_cache/, .ruff_cache/, dist/, build/, *.egg-info/, htmlcov/, .ipynb_checkpoints/
  • Generated patterns: *_pb2.py, *_pb2_grpc.py, *.generated.py
• JavaScript / TypeScript — package.json
  • Ignores: node_modules/, dist/, build/, out/, .next/, .nuxt/, .turbo/, .svelte-kit/, .astro/, .vite/, .parcel-cache/, .cache/, .docusaurus/, storybook-static/, coverage/, .yarn/cache/, .pnpm-store/, *.min.js, *.min.css, *.tsbuildinfo, *.map
  • Generated patterns: *.gen.{ts,tsx,js,jsx}, *.generated.{ts,tsx,js,jsx}

More frameworks (React, Flutter, Java, Kotlin, Go, Rust, etc.) are part of Pro — see the project root's PRICING.md.

Development

npm install                                    # at repo root
npm run build --workspace=@ai-optimizer/core
npm test --workspace=@ai-optimizer/core
npm run start --workspace=@ai-optimizer/core

Smoke test (raw JSON-RPC over stdio):

echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"0.0.1"}}}' \
  | node packages/core/bin/ai-optimizer.js

License

MIT — see LICENSE.