AgentDiet AI Token Diet & Context Window Distiller MCP server
online · 96% uptimeStrips 85-97% of HTML/DOM bloat into clean Markdown or JSON with cryptographic ROI proof.
0 stars
Reviews
Write oneNobody has reviewed AgentDiet AI Token Diet & Context Window Distiller yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
AgentDiet AI Token Diet & Context Window Distiller tools (4)
write = sends, deletes, buys or postsdistill_webpageFreeFetch 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_dataFreeExtract 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_statusFreeInspect 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_skeletonFreeExtract 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
- –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
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
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.
- webclawTurn any URL into clean markdown/JSON for AI agents. Self-hostable web content extraction.not reviewedEstablishedA
- Token OptimizerContext-window optimization: caching, compression & smart file tools that cut tokens 60-90%.not reviewedEstablishedC