Show HN: Mcptoon – MCP CLI client that cuts tool discovery tokens by 97%
mcptoon MCP tool discovery costs 10,000+ tokens. mcptoon costs 350. If this saves you tokens, please star the repo — it helps others discover it. English | 中文文档 | Report Bug | Request Feature The problem Every MCP-enabled conversation burns tokens on syntax, not data: Your agent connects to 5 MCP servers.
- ▪mcptoon MCP tool discovery costs 10,000+ tokens. mcptoon costs 350.
- ▪If this saves you tokens, please star the repo — it helps others discover it.
- ▪English | 中文文档 | Report Bug | Request Feature The problem Every MCP-enabled conversation burns tokens on syntax, not data: Your agent connects to 5 MCP servers.
Hacker News (Front Page) files mainly under programming. We currently carry 1,401 of its stories. Top-voted stories on Hacker News.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/activeing123/mcptoon |
| Publication time | Tue, 11 Aug 2026 05:26:58 +0000 |
| Retrieval time | 2026-08-11T05:50:43.255Z |
| Last seen | 2026-08-11T05:50:43.255Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | RFJC9IeIp2Vd · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
mcptoon MCP tool discovery costs 10,000+ tokens. mcptoon costs 350. One MCP client for every AI agent. Cross-platform. Zero dependencies. If this saves you tokens, please star the repo — it helps others discover it. English | 中文文档 | Report Bug | Request Feature The problem Every MCP-enabled conversation burns tokens on syntax, not data: Your agent connects to 5 MCP servers. Listing their tools: ~10,000 tokens of JSON. Your agent calls 20 tools. Each returns 500-3,000 tokens wrapped in {"content":[{"type":"text","text":"..."}]}. Total MCP overhead: 40,000-70,000 tokens before any actual thinking happens. On a 128K context window, that's 30-55% gone. Not on work. On syntax.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.