No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by activeing123 · MCP Server · ★ 172
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcptoon safe to install? View the security audit →
mcptoon Add 255 MCP tools → 90,804 tokens gone. Add mcptoon → 117 tokens. Keep 100+ MCP servers always configured. Zero context pollution. No loading. No unloading. One CLI for every agent. If this saves you tokens, please star the repo — it helps others discover it. English Request Feature The problem Every MCP-enabled agent loads all tool schemas into your context — before any work starts. Add 10 MCP servers (especially browser tools like puppeteer/playwright) → Each server returns tools/list with full JSON schemas → ALL schemas injected into your context → 50,000-100,000+ tokens consumed → 128K context: 40-80% gone before you even ask a question Add 100 se
| Stars | 172 |
| Forks | 6 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 70.2531650224075/100 |
| Last Updated | 2026-08-18 |
| Created | 2026-07-27 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~18k |
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mcptoon is Token-efficient MCP CLI client. 97% less tokens on tool discovery, 40-60% on results. Zero deps. Cross-platform. Works with every AI agent.. It is categorized as a MCP Server with 172 GitHub stars.
mcptoon is primarily written in Python. It covers topics such as agent-tools, ai, ai-agent.
You can find installation instructions and usage details in the mcptoon GitHub repository at github.com/activeing123/mcptoon. The project has 172 stars and 6 forks, indicating an active community.
mcptoon is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcptoon on Agent Skills Hub include LAP, python-utcp, Overture. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.