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Nothing to run from here
AgentDiet AI Token Diet & Context Window Distiller is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
93/100
tool-list score
4
tools declared
remote
at its publisher
—
calls last 7d
What it does
Strips 85-97% of HTML/DOM bloat into clean Markdown or JSON with cryptographic ROI proof.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http agentdiet-ai-token-diet-context-window-distil-mcp https://agentdiet.dev/mcp
# 2 — ask your agent for something these tools do
# distill_webpage, recon_webpage_skeleton, extract_structured_data and 1 more
AgentDiet AI Token Diet & Context Window Distiller costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
AGAll 31 servers
agentdiet31 servers
12 categories
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http agentdiet-ai-token-diet-context-window-distil-mcp https://agentdiet.dev/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
4 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | Target public HTTP(S) webpage URL to fetch (or builtin://stripe-docs for a built-in benchmark page). Private/loopback IPs are blocked. |
| html | string | no | Optional raw HTML string (up to ~1.9MB) to process directly without network fetching. When provided, url is not fetched and only labels the cache entry. |
| mode | string | no | Extraction mode: 'markdown' (default) returns the full cleaned page; 'budget' returns only sections matching query within max_tokens. |
| query | string | no | BM25 relevance keywords used to rank and filter page sections. Required for focused filtering when mode='budget'; ignored when mode='markdown'. |
| max_tokens | integer | no | Maximum output token ceiling (50-16000, default 400). Enforced only when mode='budget'; ignored when mode='markdown'. |
| agent_id | string | no | Optional agent identifier or prepaid agd_pass_ session key. Omit during your 5 free trial calls to use an ID automatically derived from your client IP, or pass your agd_pass_ key after topping up. |
| tx_hash | string | no | Optional on-chain Base Mainnet (0x...) or Solana SPL USDC transaction hash. Omit unless settling an individual call directly on-chain instead of using an agd_pass_ key in agent_id. |
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 Markd
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | Target public HTTP(S) webpage URL to fetch (or builtin://stripe-docs for a built-in benchmark page). Private/loopback IPs are blocked. |
| html | string | no | Optional raw HTML string (up to ~1.9MB) to process directly without network fetching. When provided, url is not fetched and only labels the cache entry. |
| agent_id | string | no | Optional agent identifier or prepaid agd_pass_ session key. Omit during your 5 free trial calls to use an ID automatically derived from your client IP, or pass your agd_pass_ key after topping up. |
| tx_hash | string | no | Optional on-chain Base Mainnet (0x...) or Solana SPL USDC transaction hash. Omit unless settling an individual call directly on-chain instead of using an agd_pass_ key in agent_id. |
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
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | Target public HTTP(S) webpage URL to fetch (or builtin://stripe-docs for a built-in benchmark page). Private/loopback IPs are blocked. |
| html | string | no | Optional raw HTML string (up to ~1.9MB) to process directly without network fetching. When provided, url is not fetched and only labels the cache entry. |
| agent_id | string | no | Optional agent identifier or prepaid agd_pass_ session key. Omit during your 5 free trial calls to use an ID automatically derived from your client IP, or pass your agd_pass_ key after topping up. |
| tx_hash | string | no | Optional on-chain Base Mainnet (0x...) or Solana SPL USDC transaction hash. Omit unless settling an individual call directly on-chain instead of using an agd_pass_ key in agent_id. |
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 too
| Parameter | Type | Required | Notes |
|---|---|---|---|
| agent_id | string | no | Optional Agent ID or agd_pass_ session key to inspect. Omit to check the default wallet derived from your client IP. |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install AgentDiet AI Token Diet & Context Window Distiller or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATool-list grade · score 93 / 100
Release 7.0.17 · scanned 28 Oct 2026
Graded from the tools this server lists, not from its source code.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score93
Findings0 threat · 3 capability
Capabilitymoderate
Coveragemanifest
Verificationnot in this report
Surface digesta75a25e33d078ea62ac814bf51453969eb56a250ece75afba4d81890e4bb9e9a
Score vectorthreat 100 → client 93
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
Tool surfaceread
Implementation sourcenot available
Package metadatanot available
Live transportnot available
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| distill_webpage | untrusted-input | untrusted-input: keyword "fetch", declares openWorldHint: true (interacts with entities outside the server) |
| recon_webpage_skeleton | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| extract_structured_data | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| get_agent_wallet_status | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digesta75a25e33d078ea6
Scanned2026-10-28
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 7.0.17.
7.0.17
undated
latestNo release note was published with this version.
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no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish AgentDiet AI Token Diet & Context Window Distiller can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.