"Information on Stable Diffusion" matching MCP tools:

• quizbase_stats

  QuizBase

  Public catalog counters with live breakdowns by language, source, category, difficulty, topic, tag. USE WHEN: showing catalog overview, picking a category programmatically, building landing copy, deciding "do we have enough X-content for this quiz". OUTPUT FIELDS: - total: approved questions in 'en' + 'pl'. - byLanguage: { en: N, pl: N }. - bySource: { entityq: N, mintaka: N, 'kqa-pro': N, ... } — 12 keys, one per source database. - byDifficulty: { trivial: N, easy: N, medium: N, hard: N, expert: N, unrated: N } — null difficulty mapped to 'unrated'. trivial/expert populated by LLM calibration. - byCategory: top 24 with localized names. - byTopic / byTag: top 30 curated topics + top 30 tags with localized labels. - meta: { generatedAt: ISO 8601, language }. INPUTS: lang (default "en") affects byCategory[].name and byTopic[].label / byTag[].label. DATA FRESHNESS: snapshot regenerated daily (~03:00 UTC) + on demand after batch imports. generatedAt shows when. Counts stable ±0.01% between snapshots. COMMON MISTAKES: polling stats every request (cache it on your side; 5-min Redis TTL on ours); treating bySource keys as stable enum (use quizbase_languages / quizbase_categories for canonical input enums).

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• principles.get

  AI Design Blueprint

  Get one Blueprint principle by stable slug. Returns id, title, cluster, definition, rationale, risk-if-violated, implementation heuristics, and linked example slugs (which examples.get can hydrate). Use this when you already have the exact slug from principles.list or principles.search; prefer principles.search when the user describes a topic or failure mode in natural language; prefer principles.list when you need every principle or every principle within a cluster. Returns error_payload on unknown slug.

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• extract

  Sofya

  Fetch a webpage and extract specific information using AI. Use this when you need structured data from a page (e.g. pricing, specs, contact info) rather than the raw content. Costs 5 credits. If the page has no usable text (empty or JavaScript-rendered body), the model is NOT called: content comes back empty and usage.low_content is true, rather than a fabricated answer. Gate on usage.low_content (or usage.content_chars) to detect pages you cannot ground on. Returns: content (the extracted text), url, credits_used, credits_remaining, usage (input_tokens, output_tokens, content_chars, low_content). Args: url: The URL to extract from prompt: What information to extract (e.g. "list all pricing tiers with features" or "extract the author name and publication date")

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• get_about

  Follow On Tours

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• examples.get

  AI Design Blueprint

  Get one curated example by stable slug. Returns title, summary, source-code links, principle coverage (the principle slugs the example demonstrates), difficulty, library/framework, and implementation notes. Use this when you already have the slug from examples.search, a principles.get response, or a guide cross-link; prefer examples.search when filtering by topic / principle / difficulty / library; prefer guides.get when the caller wants a full walkthrough rather than a single reference example. Returns error_payload on unknown slug.

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• examples.get

  AI Design Blueprint Doctrine

  Get one curated example by stable slug. Returns title, summary, source-code links, principle coverage (the principle slugs the example demonstrates), difficulty, library/framework, and implementation notes. Use this when you already have the slug from examples.search, a principles.get response, or a guide cross-link; prefer examples.search when filtering by topic / principle / difficulty / library; prefer guides.get when the caller wants a full walkthrough rather than a single reference example. Returns error_payload on unknown slug.

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• remove_background

  Sats4AI - Bitcoin-Powered AI Tools

  Remove background from any image, returning transparent PNG. Uses BiRefNet (state-of-the-art, Papers with Code — Sm 0.901 on DIS5K). Handles hair, fur, glass, transparency, and complex edges. Stable endpoint — model upgrades automatically as SOTA evolves. 5 sats per image, pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='remove_background'.

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• principles.get

  AI Design Blueprint Doctrine

  Get one Blueprint principle by stable slug. Returns id, title, cluster, definition, rationale, risk-if-violated, implementation heuristics, and linked example slugs (which examples.get can hydrate). Use this when you already have the exact slug from principles.list or principles.search; prefer principles.search when the user describes a topic or failure mode in natural language; prefer principles.list when you need every principle or every principle within a cluster. Returns error_payload on unknown slug.

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• get_block_info

  blockscout-mcp-server

  Get block information like timestamp, gas used, burnt fees, transaction count etc. Can optionally include the list of transaction hashes contained in the block. Transaction hashes are omitted by default; request them only when you truly need them, because on high-traffic chains the list may exhaust the context.

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• upscale_image

  Sats4AI - Bitcoin-Powered AI Tools

  Upscale images 2x or 4x with neural super-resolution. Uses Real-ESRGAN (ICCV 2021, PSNR 32.73dB on Set5 4x, 100M+ production runs). Recovers real detail from low-resolution images — not interpolation. Optional face enhancement. Stable endpoint — model upgrades automatically as SOTA evolves. 5 sats per image, pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='upscale_image'.

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• get_about

  cricket-travel

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• byte_query_fact

  byte-protocol

  Query a PayPerByte fact-oracle publisher for a verified factual answer with citations. Posts the question to a registered fact-oracle publisher (topic='fact-oracle'), waits for the on-chain BroadcastStreamed response, and returns the answer plus structured citation URLs. Use for grounding LLM outputs in real-time verified information.

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• list_display_categories

  agentView

  Lists the authenticated user's personal display categories with stable IDs, paths and assignment counts. Use this to discover existing categories before assigning or replacing categories on a display. Requires authentication with at least content_only scope and display.read capability.

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• principles.get

  AI Design Blueprint Doctrine

  Get one Blueprint principle by stable slug. Returns id, title, cluster, definition, rationale, risk-if-violated, implementation heuristics, and linked example slugs (which examples.get can hydrate). Use this when you already have the exact slug from principles.list or principles.search; prefer principles.search when the user describes a topic or failure mode in natural language; prefer principles.list when you need every principle or every principle within a cluster. Returns error_payload on unknown slug.

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• get_block_info

  mcp-server

  Get block information like timestamp, gas used, burnt fees, transaction count etc. Can optionally include the list of transaction hashes contained in the block. Transaction hashes are omitted by default; request them only when you truly need them, because on high-traffic chains the list may exhaust the context.

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• lyra_get_onboarding_coaching

  lyra-mcp-server

  Get guidance on how to help a user build their Lyra profile. Returns the recommended questions and flow for AI companions to gather profile information conversationally.

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• colour_compare

  Colour Memory

  Deep perceptual and semantic comparison between any two hex values. Returns quantified differences in LRV, chroma, hue angle, warmth, and CIEDE2000 distance, plus cultural context on both — which is more authoritative, more saturated, more stable under different illuminants, and what each has historically signified. Use when choosing between two colours or explaining why one works better than another. Not a harmony tool — this is a decision and reasoning tool.

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• upload_asset

  agentView

  Upload one or more files (images, fonts, CSS, video, etc.) as assets and receive stable URLs. Use these URLs in your HTML with <img src> or @font-face. Assets are cached on displays. Pass files as base64-encoded data. Requires authentication with at least content_only scope.

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• emem_errors

  emem — Earth memory protocol

  Stable error code catalog. When to use: Call to enumerate the wire-stable error codes — useful when the LLM wants to programmatically branch on responses.

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• quizbase_categories

  QuizBase

  List of 24 top-level categories with i18n labels. USE WHEN: building a category picker, validating ?category= input. Stable enum (rarely changes). For higher-resolution browsing → quizbase_subcategories or quizbase_topics.

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