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Search real-world UI & UX design references for mobile apps, web apps, and websites with Mobbin.

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Status
Healthy
Uptime
99.9% over 64 days
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
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Repository
mobbin/mobbin-mcp-server
GitHub Stars
58
Server Listing
Mobbin MCP Server

TDQS

A4.1/5.0

Scored across 3 tools

Disambiguation4/5

The three tools target distinct content types — multi-step flows, individual UI screens, and website sections — which are mostly easy to tell apart. There is mild conceptual overlap (a flow contains screens, and sections can resemble screens), but the descriptions clarify the boundaries well enough.

Naming Consistency5/5

All three tools follow a perfectly consistent verb_noun pattern (search_flows, search_screens, search_sections). The shared 'search_' prefix makes the family relationship obvious and predictable.

Tool Count4/5

Three tools is on the lean side but reasonable for a focused search-driven design-inspiration service. Each tool maps to a genuine content category, so none feels redundant or unearned.

Completeness3/5

The surface covers search across three content types but offers no retrieval by ID, browsing, or collection operations. For a reference library, the lack of any direct get/lookup tool is a notable gap that limits non-search workflows.

Available Tools

3 tools
search_flowsSearch FlowsA
Read-only
Inspect

Search Mobbin for multi-step user flows (e.g. onboarding, checkout) using natural language. Returns evenly-spaced preview images inline along with metadata for each flow, including per-screen previews. Examine the returned images to understand each flow's actual content — do not describe screens based solely on metadata. Inline images are low-res previews for you to read, not for the user. Each result's image_url is the high-resolution image. Whenever the user wants to save, export, embed, or paste a result (files, Figma, Notion, docs, slides), download it from image_url instead of reusing the inline preview. Image URLs expire after 30 days, so download the file rather than linking to it; link to mobbin_url when citing. On hosts that support MCP Apps, also renders an interactive gallery of the results.

ParametersJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for paginating through results. Maximum 20.
limitNoMaximum number of flows to return. Lower limits are recommended to manage context size.
queryYesDescribe one user journey in plain language, starting with what kind of journey it is ("onboarding", "password reset"). Add a step or detail only when the user asked for it or their problem depends on it: each one narrows the results. Good: "onboarding", "checkout with payment method selection". Avoid: combining multiple flows (search separately), steps the user didn't ask for ("onboarding with goal selection and reminder setup"), vague style words, disconnected keyword lists. Name a specific app to filter results to it (e.g. "Duolingo onboarding"). Do not include platform (ios/web) — use the dedicated parameter.
platformYesPlatform to search.
output_toolNoThe product the results go into next, not a later step, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task.
task_intentNoOne short sentence summarizing the user's overall task. Helps return more relevant results. Write it in English even when the conversation is in another language. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data.
image_formatNoImage format. Use jpg if your client does not support webp.webp
output_destinationNoWhat you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, also when looking up examples to base it on first, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task.

Output Schema

ParametersJSON Schema
NameRequiredDescription
pageYes1-based page number of search results.
flowsYes
queryYesThe natural language query used for this search.
has_next_pageYesWhether more pages of results are available.

TDQS

A4.4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Goes well beyond the readOnly/non-destructive annotations: discloses that inline images are low-res previews, that image_url is the high-res asset, that URLs expire after 30 days so files must be downloaded rather than linked, and that an interactive gallery renders on MCP Apps hosts. This is exactly the operational context an agent needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Long but dense and front-loaded: purpose first, then result/image handling, then the host-rendering note. Nearly every sentence carries actionable guidance, though the image-handling instructions are verbose enough that a tighter phrasing could preserve the same content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, return values need no explanation, and the description nonetheless covers the parts an agent could get wrong — preview vs high-res, URL expiry, and host rendering. Complete for an 8-parameter search tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already carries the parameter semantics and the baseline is 3. The description hints at image_url/mobbin_url usage and query phrasing but adds no new meaning at the parameter level.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Search Mobbin for multi-step user flows') with concrete examples (onboarding, checkout). The distinction from siblings is clear by resource type — flows are multi-step journeys, versus the screens and sections tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives clear context on how results should be consumed (read inline previews, download from image_url, link to mobbin_url) and on the query-construction conventions. It never explicitly names search_screens/search_sections as alternatives or states the condition that selects them, so the when-not guidance is absent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_screensSearch ScreensA
Read-only
Inspect

Search Mobbin for UI screens using natural language. Returns matching screens with inline images and metadata. Examine the returned images to understand each screen's actual content — do not describe or summarize screens based solely on metadata. Each screen has a mobbin_url — the canonical Mobbin link for that screen. When you present results to the user, ALWAYS cite each screen you mention as a markdown link to its mobbin_url so the user can open it on Mobbin. Inline images are low-res previews for you to read, not for the user. Each result's image_url is the high-resolution image. Whenever the user wants to save, export, embed, or paste a result (files, Figma, Notion, docs, slides), download it from image_url instead of reusing the inline preview. Image URLs expire after 30 days, so download the file rather than linking to it; link to mobbin_url when citing. If the result contains ai_usage_notice, show its text markdown to the user word for word, as its own block after the results, keeping its formatting and line breaks. Do not paraphrase, shorten, or merge it with other text. On hosts that support MCP Apps, also renders an interactive gallery of the results.

ParametersJSON Schema
NameRequiredDescriptionDefault
modeNoSearch mode. "standard" returns results with low latency. "deep" uses an AI-powered pipeline that interprets intent and scores each candidate for relevance, keeping the strong matches — ideal for nuanced queries. "fast" is a deprecated alias for "standard" and will be removed in a future version — use "standard" instead.deep
limitNoMaximum number of screens to return. Higher number of screens returned causes increased context usage.
queryYesDescribe one screen in plain language, starting with what kind of screen it is ("paywall", "settings screen"). Add a state or UI element only when the user asked for it or their problem depends on it: each one narrows the results. Good: "user profile screen", "checkout page with promo code field and Apple Pay button". Avoid: combining multiple screens/intents (search separately), parts the user didn't ask for ("profile screen with avatar and follower counts"), vague style words ("modern", "clean"), disconnected keyword lists. Name a specific app to filter results to it (e.g. "Spotify now-playing screen"). Do not include platform (ios/web) — use the dedicated parameter.
platformYesPlatform to search
output_toolNoThe product the results go into next, not a later step, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task.
task_intentNoOne short sentence summarizing the user's overall task. Helps return more relevant results. Write it in English even when the conversation is in another language. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data.
image_formatNoImage format. Use jpg if your client does not support webp.webp
exclude_screen_idsNoScreen IDs to exclude from results
output_destinationNoWhat you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, also when looking up examples to base it on first, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task.

Output Schema

ParametersJSON Schema
NameRequiredDescription
queryYesThe natural language query used for this search.
screensYes
ai_usage_noticeNoPresent only when the user's AI usage is high.

TDQS

A4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare a safe read-only operation, and the description adds substantial behavioral context beyond them: inline images are low-resolution previews, image_url is the high-resolution source, URLs expire after 30 days, ai_usage_notice must be shown verbatim, and results may render as an interactive gallery on MCP Apps hosts. These details materially affect how an agent should consume and present results.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core action and then provides necessary post-search handling instructions. It is lengthy, but most sentences carry operational requirements; there is minor redundancy around image previews versus high-resolution images, keeping it just below full marks.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the rich schema coverage, output schema, and annotations, the description is complete for an agent to call the tool and use its results correctly. It covers result interpretation, citation, export behavior, expiration, required notice display, and optional gallery rendering.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all nine parameters are already documented in the input schema. The description reinforces that the query should use natural language but does not add syntax or selection guidance for individual parameters such as mode, limit, platform, output_destination, or task_intent beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: "Search Mobbin for UI screens using natural language." This clearly identifies the tool's function, and the resource "screens" implicitly separates it from sibling tools search_flows and search_sections. However, it does not explicitly contrast itself with those alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives detailed usage guidance for handling results, such as examining images, citing mobbin_url, and downloading from image_url when exporting. But it does not explicitly say when to choose search_screens over sibling search_flows or search_sections, leaving that choice to inference from the tool name and resource.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_sectionsSearch SectionsA
Read-only
Inspect

Search Mobbin for website sections (e.g. About, Pricing, Footer) using natural language. Returns section images inline along with metadata. Examine the returned images to understand each section's actual content — do not describe or summarize sections based solely on metadata. Inline images are low-res previews for you to read, not for the user. Each result's image_url is the high-resolution image. Whenever the user wants to save, export, embed, or paste a result (files, Figma, Notion, docs, slides), download it from image_url instead of reusing the inline preview. Image URLs expire after 30 days, so download the file rather than linking to it; link to mobbin_url when citing. On hosts that support MCP Apps, also renders an interactive gallery of the results.

ParametersJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for paginating through results.
limitNoMaximum number of sections to return. Higher number of sections returned causes increased context usage.
queryYesDescribe one website section in plain language, starting with what kind of section it is ("pricing section", "footer"). Add content or an element only when the user asked for it or their problem depends on it: each one narrows the results. Good: "pricing section", "hero section with signup form". Avoid: combining multiple sections (search separately), elements the user didn't ask for ("pricing section with plan cards and an annual toggle"), vague style words, disconnected keyword lists.
output_toolNoThe product the results go into next, not a later step, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task.
task_intentNoOne short sentence summarizing the user's overall task. Helps return more relevant results. Write it in English even when the conversation is in another language. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data.
image_formatNoImage format. Use jpg if your client does not support webp.webp
output_destinationNoWhat you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, also when looking up examples to base it on first, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task.

Output Schema

ParametersJSON Schema
NameRequiredDescription
pageYes1-based page number of this batch of search results.
queryYesThe natural language query used for this search.
sectionsYes
has_next_pageYesWhether more pages of results are available.

TDQS

A4.2/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare it a safe read (readOnlyHint=true, destructiveHint=false), and the description adds substantial context on top: results return images inline plus metadata, inline previews are low-res and meant for the model, image_url is the high-res asset, URLs expire after 30 days so files must be downloaded rather than linked, and hosts with MCP Apps render a gallery. This is exactly the beyond-annotations disclosure the dimension rewards.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded in the first sentence, and subsequent sentences are functional rather than filler. It is comparatively long for a search tool, but nearly every sentence (image handling, expiry, citation) carries operational weight, so it stays on the right side of verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 7-parameter tool with an output schema, the definition covers the missing behavioral layer: return shape, image resolution split, expiry, citation practice, and interactive rendering. Nothing an agent needs to call it and use its results correctly is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already carries the parameter burden — including detailed guidance on query construction, output_destination semantics and enum meanings. The description adds no per-parameter meaning beyond that, so the baseline 3 applies; its image_url/expiry passages are about outputs, not inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ("Search Mobbin for website sections") with concrete examples (About, Pricing, Footer) and the input modality (natural language). The resource type is inherently distinct from the siblings search_screens and search_flows, so an agent can route correctly without opening a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives rich guidance on how to consume results (examine inline images, download from image_url when saving, link to mobbin_url) but never states when to pick this tool over search_screens or search_flows, nor any exclusions. Usage is implied by the resource noun rather than stated, so this lands at minimum-viable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 3 tool updates
    • Changedsearch_flows1 field changed
      • changedInput schema / properties / query / description
        Previous value: -"Describe one user journey in plain language — the steps and what you'd see along the way. Be specific; detail helps. Good: \"onboarding with personalization steps\", \"checkout with payment method selection\". Avoid: combining multiple flows (search separately), negations, vague style words, disconnected keyword lists. Name a specific app to filter results to it (e.g. \"Duolingo onboarding\"). Do not include platform (ios/web) — use the dedicated parameter."New value: +"Describe one user journey in plain language, starting with what kind of journey it is (\"onboarding\", \"password reset\"). Add a step or detail only when the user asked for it or their problem depends on it: each one narrows the results. Good: \"onboarding\", \"checkout with payment method selection\". Avoid: combining multiple flows (search separately), steps the user didn't ask for (\"onboarding with goal selection and reminder setup\"), vague style words, disconnected keyword lists. Name a specific app to filter results to it (e.g. \"Duolingo onboarding\"). Do not include platform (ios/web) — use the dedicated parameter."
    • Changedsearch_screens2 fields changed
      • changedInput schema / properties / query / description
        Previous value: -"Describe one screen in plain language — the UI elements you'd see and how they relate. Be specific; detail helps. Good: \"login screen with biometric authentication\", \"checkout page with promo code field and Apple Pay button\". Avoid: combining multiple screens/intents (search separately), negations (\"without ads\"), vague style words (\"modern\", \"clean\"), disconnected keyword lists. Name a specific app to filter results to it (e.g. \"Spotify now-playing screen\"). Do not include platform (ios/web) — use the dedicated parameter."New value: +"Describe one screen in plain language, starting with what kind of screen it is (\"paywall\", \"settings screen\"). Add a state or UI element only when the user asked for it or their problem depends on it: each one narrows the results. Good: \"user profile screen\", \"checkout page with promo code field and Apple Pay button\". Avoid: combining multiple screens/intents (search separately), parts the user didn't ask for (\"profile screen with avatar and follower counts\"), vague style words (\"modern\", \"clean\"), disconnected keyword lists. Name a specific app to filter results to it (e.g. \"Spotify now-playing screen\"). Do not include platform (ios/web) — use the dedicated parameter."
      • changedInput schema / required
        Previous value: -[
        -  "query",
        -  "platform"
        -]New value: +[
        +  "platform",
        +  "query"
        +]
    • Changedsearch_sections1 field changed
      • changedInput schema / properties / query / description
        Previous value: -"Describe one website section in plain language — the content and elements you'd see. Be specific; detail helps. Good: \"pricing page with plan comparison table\", \"hero section with signup form\". Avoid: combining multiple sections (search separately), negations, vague style words, disconnected keyword lists."New value: +"Describe one website section in plain language, starting with what kind of section it is (\"pricing section\", \"footer\"). Add content or an element only when the user asked for it or their problem depends on it: each one narrows the results. Good: \"pricing section\", \"hero section with signup form\". Avoid: combining multiple sections (search separately), elements the user didn't ask for (\"pricing section with plan cards and an annual toggle\"), vague style words, disconnected keyword lists."
  2. 3 tool updates
    • Changedsearch_flows2 fields changed
      • changedInput schema / properties / output_destination / description
        Previous value: -"What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task."New value: +"What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, also when looking up examples to base it on first, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task."
      • changedInput schema / properties / output_tool / description
        Previous value: -"The product the results go into next, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task."New value: +"The product the results go into next, not a later step, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task."
    • Changedsearch_screens2 fields changed
      • changedInput schema / properties / output_destination / description
        Previous value: -"What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task."New value: +"What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, also when looking up examples to base it on first, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task."
      • changedInput schema / properties / output_tool / description
        Previous value: -"The product the results go into next, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task."New value: +"The product the results go into next, not a later step, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task."
    • Changedsearch_sections2 fields changed
      • changedInput schema / properties / output_destination / description
        Previous value: -"What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task."New value: +"What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, also when looking up examples to base it on first, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task."
      • changedInput schema / properties / output_tool / description
        Previous value: -"The product the results go into next, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task."New value: +"The product the results go into next, not a later step, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task."
  3. 1 tool update
    • Changedsearch_screens5 fields changed
      • addedOutput schema / properties / ai_usage_notice / additionalProperties
        Added value: +false
      • changedOutput schema / properties / ai_usage_notice / description
        Previous value: -"Present only when the user's AI usage is high. Show this markdown to the user word for word after presenting the results, keeping its formatting and line breaks."New value: +"Present only when the user's AI usage is high."
      • addedOutput schema / properties / ai_usage_notice / properties
        Added value: +{
        +  "credits_used": {
        +    "description": "Credits used in the current period.",
        +    "type": "number"
        +  },
        +  "text": {
        +    "description": "Show this markdown to the user word for word after presenting the results, keeping its formatting and line breaks.",
        +    "type": "string"
        +  }
        +}
      • addedOutput schema / properties / ai_usage_notice / required
        Added value: +[
        +  "text",
        +  "credits_used"
        +]
      • changedOutput schema / properties / ai_usage_notice / type
        Previous value: -"string"New value: +"object"
  4. 1 tool update
    • Changedsearch_screens1 field changed
      • addedOutput schema / properties / ai_usage_notice
        Added value: +{
        +  "description": "Present only when the user's AI usage is high. Show this markdown to the user word for word after presenting the results, keeping its formatting and line breaks.",
        +  "type": "string"
        +}
  5. 3 tool updates
    • Changedsearch_flows2 fields changed
      • addedInput schema / properties / output_destination
        Added value: +{
        +  "description": "What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task.",
        +  "enum": [
        +    "code",
        +    "design_tool",
        +    "doc",
        +    "reference_library",
        +    "chat",
        +    "other"
        +  ],
        +  "type": "string"
        +}
      • addedInput schema / properties / output_tool
        Added value: +{
        +  "description": "The product the results go into next, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task.",
        +  "type": "string"
        +}
    • Changedsearch_screens2 fields changed
      • addedInput schema / properties / output_destination
        Added value: +{
        +  "description": "What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task.",
        +  "enum": [
        +    "code",
        +    "design_tool",
        +    "doc",
        +    "reference_library",
        +    "chat",
        +    "other"
        +  ],
        +  "type": "string"
        +}
      • addedInput schema / properties / output_tool
        Added value: +{
        +  "description": "The product the results go into next, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task.",
        +  "type": "string"
        +}
    • Changedsearch_sections2 fields changed
      • addedInput schema / properties / output_destination
        Added value: +{
        +  "description": "What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task.",
        +  "enum": [
        +    "code",
        +    "design_tool",
        +    "doc",
        +    "reference_library",
        +    "chat",
        +    "other"
        +  ],
        +  "type": "string"
        +}
      • addedInput schema / properties / output_tool
        Added value: +{
        +  "description": "The product the results go into next, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task.",
        +  "type": "string"
        +}
  6. 3 tool updates
    • Changedsearch_flows1 field changed
      • changedOutput schema / properties / flows / items / properties / screens / items / properties / image_url / description
        Previous value: -"Image URL for the screen. Expires after 30 days."New value: +"High-resolution image URL (up to 1920px wide). Download from it whenever the user wants to save, export, embed, or paste the image. Expires after 30 days."
    • Changedsearch_screens1 field changed
      • changedOutput schema / properties / screens / items / properties / image_url / description
        Previous value: -"Image URL for the screen. Expires after 30 days."New value: +"High-resolution image URL (up to 1920px wide). Download from it whenever the user wants to save, export, embed, or paste the image. Expires after 30 days."
    • Changedsearch_sections1 field changed
      • changedOutput schema / properties / sections / items / properties / image_url / description
        Previous value: -"Image URL for the section. Expires after 30 days."New value: +"High-resolution image URL (up to 1920px wide). Download from it whenever the user wants to save, export, embed, or paste the image. Expires after 30 days."
  7. 3 tool updates
    • Changedsearch_flows1 field changed
      • changedInput schema / properties / task_intent / description
        Previous value: -"One short sentence summarizing the user's overall task. Helps return more relevant results. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data."New value: +"One short sentence summarizing the user's overall task. Helps return more relevant results. Write it in English even when the conversation is in another language. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data."
    • Changedsearch_screens1 field changed
      • changedInput schema / properties / task_intent / description
        Previous value: -"One short sentence summarizing the user's overall task. Helps return more relevant results. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data."New value: +"One short sentence summarizing the user's overall task. Helps return more relevant results. Write it in English even when the conversation is in another language. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data."
    • Changedsearch_sections1 field changed
      • changedInput schema / properties / task_intent / description
        Previous value: -"One short sentence summarizing the user's overall task. Helps return more relevant results. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data."New value: +"One short sentence summarizing the user's overall task. Helps return more relevant results. Write it in English even when the conversation is in another language. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data."
  8. 3 tool updates
    • Changedsearch_flows1 field changed
      • addedInput schema / properties / task_intent
        Added value: +{
        +  "description": "One short sentence summarizing the user's overall task. Helps return more relevant results. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data.",
        +  "type": "string"
        +}
    • Changedsearch_screens1 field changed
      • addedInput schema / properties / task_intent
        Added value: +{
        +  "description": "One short sentence summarizing the user's overall task. Helps return more relevant results. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data.",
        +  "type": "string"
        +}
    • Changedsearch_sections1 field changed
      • addedInput schema / properties / task_intent
        Added value: +{
        +  "description": "One short sentence summarizing the user's overall task. Helps return more relevant results. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data.",
        +  "type": "string"
        +}
  9. 3 tool updates
    • First observedsearch_flows
    • First observedsearch_screens
    • First observedsearch_sections

Publisher details

Operator
Mobbin · Publisher source
Operator website
https://mobbin.com
Vendor relationship
First-party
Restrictions
Unknown

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