📡 MCP Radar

Farukes/TokenJar

Zero-cost token optimization engine for AI coding assistants (Claude Code, Cursor, Antigravity, Windsurf). Saves 70-95% tokens via AST skeletons, differential cache, and line slicing.

⭐ 3 stars
⑂ 0 forks
Python
momentum ▲ 10.0
created 2026-09-23
on radar since 2026-09-27
ai-codingantigravityclaude-codecode-analysiscursordeveloper-toolsllmmcpmcp-serverpythonrusttoken-optimizationtree-sitterwindsurf
View on GitHub ↗Homepage ↗

About TokenJar

🍯 TokenJar Put tokens back in your jar. Save 70-95% tokens for AI coding assistants without losing functionality.

MCP server that saves 70-95% tokens for AI coding assistants — without losing functionality.

TokenJar sits between your AI coding assistant and your codebase, intelligently compressing code reads, terminal outputs, and file operations to dramatically reduce token consumption, context compaction, and latency.

Works with Claude Code, Cursor, Antigravity (AGY), Windsurf, Continue.dev, and any MCP-compatible AI assistant.

Module What It Does Token Savings :---:---:--- 🦴 Code Skeletonizer Extracts structural skeleton (signatures, types, docstrings) via Tree-sitter AST 80-95% 📖 Smart File Reader L1 RAM + L2 Persistent SQLite cache with differential reads & diff headers 90-99% 🛡️ Lockfile & Asset Shield Intercepts massive lockfiles & minified bundles with surgical version queries (query="react") 99% 🎯 Blast Radius & Symbols Instant global symbol lookup & cross-file reference caller tracking (findsymbolreferences) 85-95% 🖥️ Terminal Pruner Compresses test/build/git terminal streams, keeps errors and summary info 60-90% 🗺️ Repo Map PageRank & Graph Centrality codebase overview fitted into custom token budgets Budget-fitted 🎨 On-Demand UI Dashboard Lightweight standalone control panel (tokenjar ui) with Zero Background RAM Instant ⚡ 1-Click IDE Configuration Automatic configuration & non-destructive rollback for Cursor, Windsurf, Claude, VS Code Zero-effort

From the project README.

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