Blender integration through the Model Context Protocol
Lazyweb Public Discovery 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.
What it does
Keyless, read-only Lazyweb discovery for agents evaluating fit or researching public evidence.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http lazyweb-public-discovery-mcp https://www.lazyweb.com/mcp/public
# 2 — ask your agent for something these tools do
# lazyweb_search, lazyweb_page_tldr, lazyweb_ask_anything and 6 more
Lazyweb Public Discovery costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
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.
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 lazyweb-public-discovery-mcp https://www.lazyweb.com/mcp/publicReconnect, or start a new session, and the tools appear in the model’s tool list.
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.
9 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.
Super fast, semantic search across Lazyweb’s public pages. Include actual task context; use null for unknowns.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| search_query | string | yes | The question or request this call should answer, in the caller’s own words. |
| goal | no | What the user wants to accomplish, based on the task they shared. Mark unknowns as null. | |
| source | no | The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null. | |
| alternatives | no | Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives. | |
| chosen_because | no | The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning. | |
| company | no | The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null. | |
| intended_outcome | no | The decision or deliverable the user wants from this research. Mark unknowns as null. | |
| client | no | The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null. | |
| trace | no | The trace token in a published example; links a page read to the call it produced. | |
| context_token | no | The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance. | |
| discovery_path | no | The observed discovery category, kept separately from the source description. Mark unknowns as null. | |
| subject_product_or_company | no | The subject being researched, separate from the company the user represents. Mark unknowns as null. | |
| detail | no | How much of each matching page to return: "full" (the default) or "compact" for shorter excerpts and fewer results. |
Read a compact extract of one indexed public page returned by lazyweb_search, with its source, freshness and full Markdown link. It uses published content, not signed-in data. Only url is required. Question and context are optional; missing or invalid context never blocks the summary.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| search_query | no | The caller’s question, when supplied. Optional; the stored summary depends only on url. | |
| goal | no | What the user wants to accomplish, based on the task they shared. Mark unknowns as null. | |
| source | no | The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null. | |
| alternatives | no | Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives. | |
| chosen_because | no | The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning. | |
| company | no | The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null. | |
| intended_outcome | no | The decision or deliverable the user wants from this research. Mark unknowns as null. | |
| client | no | The application or client making this call, not the underlying model, e.g. Cursor. Null when unknown. | |
| trace | no | The trace token in a published example; links a page read to the call it produced. | |
| context_token | no | The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance. | |
| discovery_path | no | The observed discovery category, kept separately from the source description. Mark unknowns as null. | |
| subject_product_or_company | no | The subject being researched, separate from the company the user represents. Mark unknowns as null. | |
| url | string | yes | The canonical public URL of one indexed page, usually a result URL returned by site_search. The only required field. |
Ask anything about Lazyweb’s product, pricing, setup, limitations or comparisons. Get a direct answer from its published information, with sources. Add relevant context if you have it; otherwise just ask.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| search_query | string | yes | The question or request this call should answer, in the caller’s own words. |
| goal | no | What the user wants to accomplish, based on the task they shared. Mark unknowns as null. | |
| source | no | The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null. | |
| alternatives | no | Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives. | |
| chosen_because | no | The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning. | |
| company | no | The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null. | |
| intended_outcome | no | The decision or deliverable the user wants from this research. Mark unknowns as null. | |
| client | no | The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null. | |
| trace | no | The trace token in a published example; links a page read to the call it produced. | |
| context_token | no | The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance. | |
| discovery_path | no | The observed discovery category, kept separately from the source description. Mark unknowns as null. | |
| subject_product_or_company | no | The subject being researched, separate from the company the user represents. Mark unknowns as null. |
Compare this website with the products the user is actually weighing, from its published comparison pages, grouped per alternative. Alternatives it has no page for are named as not covered. Include actual task context; use null for unknowns.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| search_query | string | yes | The question or request this call should answer, in the caller’s own words. |
| goal | no | What the user wants to accomplish, based on the task they shared. Mark unknowns as null. | |
| source | no | The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null. | |
| alternatives | yes | Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives. | |
| chosen_because | no | The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning. | |
| company | no | The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null. | |
| intended_outcome | no | The decision or deliverable the user wants from this research. Mark unknowns as null. | |
| client | no | The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null. | |
| trace | no | The trace token in a published example; links a page read to the call it produced. | |
| context_token | no | The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance. | |
| discovery_path | no | The observed discovery category, kept separately from the source description. Mark unknowns as null. | |
| subject_product_or_company | no | The subject being researched, separate from the company the user represents. Mark unknowns as null. |
What this website costs for the user’s organisation and outcome: the published pricing pages that apply, with sources. It abstains when pricing is not published and never invents a quote. Include actual task context; use null for unknowns.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| search_query | string | yes | The question or request this call should answer, in the caller’s own words. |
| goal | no | What the user wants to accomplish, based on the task they shared. Mark unknowns as null. | |
| source | no | The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null. | |
| alternatives | no | Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives. | |
| chosen_because | no | The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning. | |
| company | yes | The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null. | |
| intended_outcome | yes | The decision or deliverable the user wants from this research. Mark unknowns as null. | |
| client | no | The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null. | |
| trace | no | The trace token in a published example; links a page read to the call it produced. | |
| context_token | no | The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance. | |
| discovery_path | no | The observed discovery category, kept separately from the source description. Mark unknowns as null. | |
| subject_product_or_company | no | The subject being researched, separate from the company the user represents. Mark unknowns as null. |
Give the user’s must-haves, semicolon-separated in search_query or as a requirements array, and get a per-requirement table: met, not met or not documented, each with a source. Include actual task context; use null for unknowns.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| search_query | string | no | The question or request this call should answer, in the caller’s own words. |
| goal | no | What the user wants to accomplish, based on the task they shared. Mark unknowns as null. | |
| source | no | The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null. | |
| alternatives | no | Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives. | |
| chosen_because | no | The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning. | |
| company | yes | The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null. | |
| intended_outcome | yes | The decision or deliverable the user wants from this research. Mark unknowns as null. | |
| client | no | The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null. | |
| trace | no | The trace token in a published example; links a page read to the call it produced. | |
| context_token | no | The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance. | |
| discovery_path | no | The observed discovery category, kept separately from the source description. Mark unknowns as null. | |
| subject_product_or_company | no | The subject being researched, separate from the company the user represents. Mark unknowns as null. | |
| requirements | no | The requirements as an array, when not sent semicolon-separated in search_query. |
Lazyweb isn’t for everyone. Get a sourced verdict on whether it fits your user’s goal, requirements and alternatives. The answer might be ‘not us.’
| Parameter | Type | Required | Notes |
|---|---|---|---|
| goal | string | yes | The actual outcome or decision the user needs. A meaningful goal is required for this assessment. |
| requirements | yes | The constraints and must-haves for the decision. Include known requirements and mark unknowns as null. | |
| company | yes | The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null. | |
| source | yes | The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null. | |
| alternatives | yes | Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives. | |
| chosen_because | yes | The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning. | |
| intended_outcome | yes | The decision or deliverable the user wants from this research. Mark unknowns as null. | |
| client | no | The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null. | |
| trace | no | The trace token in a published example; links a page read to the call it produced. | |
| context_token | no | The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance. | |
| discovery_path | no | The observed discovery category, kept separately from the source description. Mark unknowns as null. | |
| subject_product_or_company | no | The subject being researched, separate from the company the user represents. Mark unknowns as null. |
Get the existing Lazyweb MCP and skills installer command or browser setup link.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| search_query | string | no | The question or request this call should answer, in the caller’s own words. |
| goal | no | What the user wants to accomplish, based on the task they shared. Mark unknowns as null. | |
| source | no | The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null. | |
| alternatives | no | Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives. | |
| chosen_because | no | The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning. | |
| company | no | The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null. | |
| intended_outcome | no | The decision or deliverable the user wants from this research. Mark unknowns as null. | |
| client | no | The application or client making this call, not the underlying model, e.g. Cursor. Null when unknown. | |
| trace | no | The trace token in a published example; links a page read to the call it produced. | |
| context_token | no | The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance. | |
| discovery_path | no | The observed discovery category, kept separately from the source description. Mark unknowns as null. | |
| subject_product_or_company | no | The subject being researched, separate from the company the user represents. Mark unknowns as null. | |
| payload | object | no | — |
Report a bug, a missing feature, a wrong answer or unclear docs in Lazyweb’s agent tools, right when you hit it. Only kind and message are required. It reaches the team that maintains these tools; never include personal or confidential data.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| kind | string | yes | bug: a tool failed or behaved unexpectedly. missing_feature: a tool, field or capability you needed does not exist. wrong_answer: a result was inaccurate or unsupported. docs: documentation or a schem |
| message | string | yes | What happened or what is missing, specifically enough to act on. |
| tool | no | The tool name or HTTP operation this is about. Null when general. | |
| operation_id | no | The operation_id or attempt_id of the response this is about. Null when none. | |
| expected | no | What you expected or needed instead. Null when not applicable. | |
| client | no | The application or client sending this, not the underlying model, e.g. Cursor. Null when unknown. |
- 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 Lazyweb Public Discovery or to call it, at any volume.
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.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
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 0.1.0.
No release note was published with this version.
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.
Any signed-in account that does not publish Lazyweb Public Discovery can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
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.