dev.agentdiet/agentdiet
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Publisher-provided title
AgentDiet AI Token Diet & Context Window Distiller
Publisher-provided description
Strips 85-97% of HTML/DOM bloat into clean Markdown or JSON with cryptographic ROI proof.
Summary by lookupd
Fetches public web pages or raw HTML and returns cleaned Markdown, structured data, or compact section outlines to reduce LLM token use.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http agentdiet https://agentdiet.dev/mcp
Codex, remote (streamable-http)
codex mcp add agentdiet --url https://agentdiet.dev/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"agentdiet": {
"url": "https://agentdiet.dev/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (4 tools)
Publisher-provided text
distill_webpageFetch 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: Crecon_webpage_skeletonExtract 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 bodextract_structured_dataExtract machine-readable structured data from a web page: Schema.org JSON-LD objects, OpenGraph metadata, HTML tables parsed as JSON row arrays, fenced code bloget_agent_wallet_statusInspect 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. WH
Details
- Version: 7.0.17
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 449 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/robertoyanguas-ops/assay
- Website: https://agentdiet.dev
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- 62071 servers
- Last crawl: 2026-11-11T16:39:06.253Z
- API base:
https://api.lookupd.com - MCP URL:
https://api.lookupd.com/mcp