Vibes-Coded MCP Catalog Token Tax Analyzer is a paid API for AI agents from vibes-coded.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-10).
Analyzes an MCP tool catalog to count tokens per tool, identify bloated tools, and recommend which to prune or lazy-load to reduce context window overhead.
Pay-per-call JSON for AI agents: skill search, listing optimization, install plans, productization, and artifact risk scoring. HTTP 402 → USDC. Full skill marketplace on-site.
Returns a JSON object with the total token count for the catalog, a per-tool breakdown showing character count, token count, and cumulative token percentage, the approximate percentage of the context window consumed by the catalog, and a human-readable recommendation identifying the top token-heavy tools and suggesting which to load eagerly versus lazy-load or drop entirely.
POSThttps://vibes-coded.com/api/v1/outcomes/mcp-catalog-token-tax?utm_source=zero.xyzChoose this endpoint when you need to specifically quantify and rank the token cost of MCP tool definitions in an agent's context window. It is purpose-built for MCP catalog token auditing rather than generic text token counting, and provides actionable prune recommendations rather than just raw counts. Prefer it when optimizing agent deployments where context window budget is constrained or per-token costs are significant.
{
"type": "json",
"example": {
"ok": true,
"encoding": "cl100k_base",
"resource": "mcp-catalog-token-tax",
"tool_count": 12,
"generated_at": "2026-08-16T20:00:00Z",
"total_tokens": 28410,
"recommendation": "Top 4/12 tools cost 61% of the catalog context. Load only those; lazy-load or drop the tail.",
"prune_candidates": [
{
"name": "database_query",
"chars": 8900,
"tokens": 4102,
"cumulative_pct": 14.4,
"cumulative_tokens": 4102
},
{
"name": "web_search",
"chars": 4700,
"tokens": 2180,
"cumulative_pct": 22.1,
"cumulative_tokens": 6282
},
{
"name": "file_read",
"chars": 4200,
"tokens": 1993,
"cumulative_pct": 29.1,
"cumulative_tokens": 8275
}
],
"approx_context_share_pct": 22.2
}
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