dev.agentdiet/agentdiet · v7.0.15 · search-and-web
AgentDiet AI Token Diet & Context Window Distiller is healthy: it completed an MCP handshake in 1428 ms and exposes 4 tools.
Strips 85-97% of HTML/DOM bloat into clean Markdown or JSON with cryptographic ROI proof.
Endpoint: https://agentdiet.dev/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 4 |
| Latency | 1428 ms |
| Last checked (UTC) | 2026-10-19T15:51:03.948Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-19T15:51:03.948Z | Healthy | 1428 |
distill_webpage | Fetch a public HTTP(S) web page (or accept raw HTML) and distill its main prose into clean Markdown, stripping 85-97% of HTML/JS/CSS boilerplate. WHEN TO USE: Call this tool to read full or query-filtered article and documentation text; call recon_webpage_skeleton first to preview headings and token |
recon_webpage_skeleton | Extract an ultra-compact structural outline (under ~200 tokens) of a web page listing its H1-H4 headings and exact token count per section without returning body prose. WHEN TO USE: Call this tool first on long or unfamiliar pages to inspect structure and token cost before calling distill_webpage (w |
extract_structured_data | Extract machine-readable structured data from a web page: Schema.org JSON-LD objects, OpenGraph metadata, HTML tables parsed as JSON row arrays, fenced code blocks, section headings, and links. WHEN TO USE: Call this tool for pricing tables, API specifications, product metadata, or code snippets; us |
get_agent_wallet_status | Inspect an agent's account ledger: remaining free trial calls (out of 5), prepaid USD balance, cumulative spend, total API calls, and total LLM tokens saved. WHEN TO USE: Call before a batch of paid tool executions or after completing a Stripe or USDC top-up to confirm your balance. WHEN NOT TO USE: |