Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track costs, debug prompts, and monitor context window usage across your AI development sessions.
- ✓Open-source license (MIT)
- ✓Recently active
- ✓Clear description
- ✓Topics declared
git clone https://github.com/jmuncor/tokentapTools overview
What people ask about tokentap
What is jmuncor/tokentap?
+
jmuncor/tokentap is tools for the Claude AI ecosystem. Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track costs, debug prompts, and monitor context window usage across your AI development sessions. It has 810 GitHub stars and was last updated 1mo ago.
How do I install tokentap?
+
You can install tokentap by cloning the repository (https://github.com/jmuncor/tokentap) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is jmuncor/tokentap safe to use?
+
Our security agent has analyzed jmuncor/tokentap and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains jmuncor/tokentap?
+
jmuncor/tokentap is maintained by jmuncor. The last recorded GitHub activity is from 1mo ago, with 0 open issues.
Are there alternatives to tokentap?
+
Yes. On ClaudeWave you can browse similar tools at /categories/tools, sorted by popularity or recent activity.
Deploy tokentap to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/jmuncor-tokentap)<a href="https://claudewave.com/repo/jmuncor-tokentap"><img src="https://claudewave.com/api/badge/jmuncor-tokentap" alt="Featured on ClaudeWave: jmuncor/tokentap" width="320" height="64" /></a>More Tools
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
An AI SKILL that provide design intelligence for building professional UI/UX multiple platforms
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary