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Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings) MCP Server

answering

Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings) is answering right now. Last checked 13 min ago. It exposes 4 tools. Last commit 17 Oct 2026.

Strips 85-97% of HTML/DOM boilerplate into clean Markdown, skeletons, or BM25-ranked RAG chunks.

Uptime history 5 days of history
5 days agonow
100.0%
Uptime 24h
91 of 91 checks
4
Tools
read from the server
463 ms
Response time
average over 24h
0
Stars
last commit 17 Oct 2026

Nothing serious here today

Today is the operative word: we check Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings) every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

run in your terminal
claude mcp add rag-diet --transport http https://rag-diet.agentdiet.dev/mcp
Settings → Connectors → Add custom connector, then paste this address
https://rag-diet.agentdiet.dev/mcp
~/.codex/config.toml
[mcp_servers.rag-diet]
url = "https://rag-diet.agentdiet.dev/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "rag-diet": {
      "url": "https://rag-diet.agentdiet.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "rag-diet": {
      "type": "http",
      "url": "https://rag-diet.agentdiet.dev/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

agent
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: Do not use to process web content, execute marketplace tools, or submit payments; use the other tools on this server for execution. PARAMETER INTERACTIONS: Omit agent_id to inspect the default trial account derived from your client IP, or pass your explicit agent_id or agd_pass_ session key to check a specific funded wallet. Free and read-only: never charges a fee or consumes a free trial call. Example: get_agent_wallet_status(agent_id='example')
distill
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 counts on unfamiliar pages, or extract_structured_data when you need JSON-LD, HTML tables, or code blocks. WHEN NOT TO USE: Do not use for binary PDFs, images, or login-walled pages. PARAMETER INTERACTIONS: Provide either url or html (when html is supplied, url is not fetched and only labels the cache key). When mode='markdown' (default), query and max_tokens are ignored; set mode='budget' to rank sections by query (BM25) and cap output at max_tokens. Omit agent_id and tx_hash during your 5 free calls. Read-only and idempotent; results are cached for 1 hour (<5ms cache hit). $0.001 per call ($0.0005 cached). Pricing: the first 5 calls per agent_id are free and failed calls are never charged. After 5 calls, the tool returns a payment-required quote (not a fatal error) with a $2 Stripe top-up link and Base/Solana USDC addresses; complete payment, then retry with your agd_pass_ key in agent_id or pass tx_hash. Example: distill_webpage(url='https://docs.stripe.com/api')
extract
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; use distill_webpage for narrative Markdown or recon_webpage_skeleton for a lightweight heading outline. WHEN NOT TO USE: Do not use for narrative prose extraction or binary files. PARAMETER INTERACTIONS: Provide either url or html (when html is supplied, url is not fetched and only labels the cache key). Omit agent_id and tx_hash during your 5 free calls. Read-only and idempotent; results are cached for 1 hour (<5ms cache hit). $0.001 per call ($0.0005 cached). Pricing: the first 5 calls per agent_id are free and failed calls are never charged. After 5 calls, the tool returns a payment-required quote (not a fatal error) with a $2 Stripe top-up link and Base/Solana USDC addresses; complete payment, then retry with your agd_pass_ key in agent_id or pass tx_hash. Example: extract_structured_data(url='https://docs.stripe.com/api')
recon
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 (with mode='budget' and a focused query). WHEN NOT TO USE: Do not use when you already need full Markdown prose (use distill_webpage) or structured tables and JSON-LD (use extract_structured_data). PARAMETER INTERACTIONS: Provide either url or html (when html is supplied, url is not fetched and only labels the cache key). Omit agent_id and tx_hash during your 5 free calls. Read-only and idempotent; results are cached for 1 hour (<5ms cache hit). $0.0002 per call. Pricing: the first 5 calls per agent_id are free and failed calls are never charged. After 5 calls, the tool returns a payment-required quote (not a fatal error) with a $2 Stripe top-up link and Base/Solana USDC addresses; complete payment, then retry with your agd_pass_ key in agent_id or pass tx_hash. Example: recon_webpage_skeleton(url='https://docs.stripe.com/api')

Endpoints

URLTransportStateLatencyChecked
https://rag-diet.agentdiet.dev/mcp streamable-http answering 298 ms 13 min ago

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Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings) — questions

Answers built from our own checks of this server.

What can Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings) do?
It exposes 4 tools, read directly from the server on our last check. Among them: distill_webpage, extract_structured_data, get_agent_wallet_status, recon_webpage_skeleton. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings) working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 463 ms. The bar chart above shows every period we have measured.
How do I connect Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings)?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings) need an API key?
No. Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings) completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings)?
It answers our handshake in 463 ms on average, which is faster than 29% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings) open source?
The code is open source: it is published under the MIT licence, written in Python, 0 stars on GitHub and 1 open issue. The licence covers the code in the repository, not the hosted service at rag-diet.agentdiet.dev, which runs on its operator's own terms.