MCP.Market

AgentDiet AI Token Diet & Context Window Distiller MCP server

online · 96% uptime
by agentdiet.dev·dev.agentdiet/agentdiet·v7.0.17

Strips 85-97% of HTML/DOM bloat into clean Markdown or JSON with cryptographic ROI proof.

A91/100grade A
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Safety scan
A91/100

full report

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AgentDiet AI Token Diet & Context Window Distiller tools (4)

write = sends, deletes, buys or posts
  • distill_webpageFree

    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_structured_dataFree

    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')

  • get_agent_wallet_statusFree

    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')

  • recon_webpage_skeletonFree

    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')

Public scan report

scanner v0.1.10 · 2026-10-26 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 684ms20/20
  • Tool poisoning4 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 9 days ago15/15
  • Maintainer identityendpoint served from the registry-verified namespace domain8/10
Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How AgentDiet AI Token Diet & Context Window Distiller compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
91/100
higher than 85% of 48,273 servers
Tools
4
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
96%
of our recent checks; the typical remote server answers 100%
Response time
158 ms
faster than 71% of 30,037 servers

What its tools let an agent do: 4 read

Install AgentDiet AI Token Diet & Context Window Distiller in Claude Code, Cursor or VS Code

claude mcp add --transport http agentdiet https://agentdiet.dev/mcp
Add to Cursor

What the publisher says

From the AgentDiet AI Token Diet & Context Window Distiller repository's README, as published. We do not edit it. Read it on GitHub

Assay — A2A & MCP Provider Assurance Observatory

Live Observatory: https://assay-207908449630.us-central1.run.app

Assay continuously probes remote MCP, A2A, and x402 endpoints to verify liveness, pin canonical SHA-256 tools/list schema hashes (detecting silent MCP Rug Pulls), and scan for prompt-injection tool poisoning before your agent pays or executes a tool.

MCP Endpoint

  • Streamable HTTP MCP: https://assay-207908449630.us-central1.run.app/mcp
  • Pre-Flight REST API: POST https://assay-207908449630.us-central1.run.app/v1/preflight
  • Live Leaderboard: GET https://assay-207908449630.us-central1.run.app/v1/leaderboard

Nothing above is checked by us. What we check is on the safety report.

AgentDiet AI Token Diet & Context Window Distiller: common questions

Is AgentDiet AI Token Diet & Context Window Distiller MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the AgentDiet AI Token Diet & Context Window Distiller safety report
How do I install AgentDiet AI Token Diet & Context Window Distiller?
It runs remotely at agentdiet.dev. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does AgentDiet AI Token Diet & Context Window Distiller need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is AgentDiet AI Token Diet & Context Window Distiller maintained?
The last commit was 16 days ago (2026-10-17). The latest release is v7.0.17.
Is AgentDiet AI Token Diet & Context Window Distiller up?
96% of our last 25 checks got an answer. We check remote servers about four times a day.
What can I use instead of AgentDiet AI Token Diet & Context Window Distiller?
Servers from other publishers that do the same job: webclaw MCP server and Token Optimizer MCP server.
How does AgentDiet AI Token Diet & Context Window Distiller compare with other MCP servers?
safety score 91/100 (higher than 85% of 48,273 servers); tools 4 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to AgentDiet AI Token Diet & Context Window Distiller

Same job from other publishers: the closest match first, then the best rated.

  • webclaw
    Turn any URL into clean markdown/JSON for AI agents. Self-hostable web content extraction.
    A
  • Token Optimizer
    Context-window optimization: caching, compression & smart file tools that cut tokens 60-90%.
    C

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