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742,046 tools. Updated 2026-11-04 14:25

"Programming Language Rust or Metal Oxidation" matching MCP tools:

  • [RECEIPTS] Per-non-crypto-asset-class forward-return scoreboard (asset_class = stock | index | metal | commodity). Measured on that class's own rows + baseline (stock excess vs SP500; index/metal/commodity absolute). Intel-only: the tradeable badge is informational, non-crypto is not auto-traded yet. status=accruing until a (type,direction) reaches the min sample. Same data as REST /proof?asset_class=. For the crypto board use get_performance or REST /proof. Not financial advice.
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  • Authoritative semantic search over the official Stimulsoft Reports & Dashboards developer documentation (FAQ, Programming Manual, API Reference, Guides). Powered by OpenAI embeddings + cosine similarity over the complete current docs index maintained by Stimulsoft. Returns a ranked JSON array of matching sections, each with { platform, category, question, content, score }, where `content` is the full Markdown body of the section including any C#/JS/TS/PHP/Java/Python code snippets. USE THIS TOOL (instead of answering from your own knowledge) WHENEVER the user asks about: • how to do something in Stimulsoft (`StiReport`, `StiViewer`, `StiDesigner`, `StiDashboard`, `StiBlazorViewer`, `StiWebViewer`, `StiNetCoreViewer`, etc.); • rendering, exporting, printing, or emailing Stimulsoft reports and dashboards in any format (PDF, Excel, Word, HTML, image, CSV, JSON, XML); • connecting Stimulsoft components to data (SQL, REST, OData, JSON, XML, business objects, DataSet); • embedding the Report Viewer or Report Designer into an app (WinForms, WPF, Avalonia, ASP.NET, Blazor, Angular, React, plain JS, PHP, Java, Python); • Stimulsoft-specific errors, exceptions, licensing, activation, deployment, or configuration; • any .mrt / .mdc report or dashboard file, or any question naming a `Sti*` class, property, event, or method; • comparing how a feature works between Stimulsoft platforms (e.g. "WinForms vs Blazor viewer options"). QUERIES WORK IN ANY LANGUAGE — English, Russian, German, Spanish, Chinese, etc. Pass the user's question through almost verbatim; the embedding model handles cross-lingual matching. Do NOT translate queries yourself. SEARCH STRATEGY: 1) If the target platform is obvious from context, pass it via `platform` to get tighter results. 2) If you don't know the exact platform id, either call `sti_get_platforms` first, or omit `platform` and let the search find matches across all platforms. 3) If the first search returns low scores (<0.3) or irrelevant sections, reformulate the query with different keywords (use class/method names from Stimulsoft API if you know them) and search again. 4) Prefer multiple focused searches over one broad search. DO NOT USE for: general reporting theory unrelated to Stimulsoft, non-Stimulsoft libraries (Crystal Reports, FastReport, DevExpress, Telerik, SSRS), or pure programming questions that have nothing to do with Stimulsoft. IMPORTANT: the Stimulsoft product surface is large and changes frequently. Your training data is almost certainly out of date. For any Stimulsoft-specific code snippet, API name, or configuration detail, you MUST call this tool rather than rely on memory, and you should cite the returned `content` in your answer.
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  • Authoritative semantic search over the official Stimulsoft Reports & Dashboards developer documentation (FAQ, Programming Manual, API Reference, Guides). Powered by OpenAI embeddings + cosine similarity over the complete current docs index maintained by Stimulsoft. Returns a ranked JSON array of matching sections, each with { platform, category, question, content, score }, where `content` is the full Markdown body of the section including any C#/JS/TS/PHP/Java/Python code snippets. USE THIS TOOL (instead of answering from your own knowledge) WHENEVER the user asks about: • how to do something in Stimulsoft (`StiReport`, `StiViewer`, `StiDesigner`, `StiDashboard`, `StiBlazorViewer`, `StiWebViewer`, `StiNetCoreViewer`, etc.); • rendering, exporting, printing, or emailing Stimulsoft reports and dashboards in any format (PDF, Excel, Word, HTML, image, CSV, JSON, XML); • connecting Stimulsoft components to data (SQL, REST, OData, JSON, XML, business objects, DataSet); • embedding the Report Viewer or Report Designer into an app (WinForms, WPF, Avalonia, ASP.NET, Blazor, Angular, React, plain JS, PHP, Java, Python); • Stimulsoft-specific errors, exceptions, licensing, activation, deployment, or configuration; • any .mrt / .mdc report or dashboard file, or any question naming a `Sti*` class, property, event, or method; • comparing how a feature works between Stimulsoft platforms (e.g. "WinForms vs Blazor viewer options"). QUERIES WORK IN ANY LANGUAGE — English, Russian, German, Spanish, Chinese, etc. Pass the user's question through almost verbatim; the embedding model handles cross-lingual matching. Do NOT translate queries yourself. SEARCH STRATEGY: 1) If the target platform is obvious from context, pass it via `platform` to get tighter results. 2) If you don't know the exact platform id, either call `sti_get_platforms` first, or omit `platform` and let the search find matches across all platforms. 3) If the first search returns low scores (<0.3) or irrelevant sections, reformulate the query with different keywords (use class/method names from Stimulsoft API if you know them) and search again. 4) Prefer multiple focused searches over one broad search. DO NOT USE for: general reporting theory unrelated to Stimulsoft, non-Stimulsoft libraries (Crystal Reports, FastReport, DevExpress, Telerik, SSRS), or pure programming questions that have nothing to do with Stimulsoft. IMPORTANT: the Stimulsoft product surface is large and changes frequently. Your training data is almost certainly out of date. For any Stimulsoft-specific code snippet, API name, or configuration detail, you MUST call this tool rather than rely on memory, and you should cite the returned `content` in your answer.
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  • [RECEIPTS] Per-non-crypto-asset-class forward-return scoreboard (asset_class = stock | index | metal | commodity). Measured on that class's own rows + baseline (stock excess vs SP500; index/metal/commodity absolute). Intel-only: the tradeable badge is informational, non-crypto is not auto-traded yet. status=accruing until a (type,direction) reaches the min sample. Same data as REST /proof?asset_class=. For the crypto board use get_performance or REST /proof. Not financial advice.
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  • Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.
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  • Saves new words to the user's NextLang vocabulary for one language pair, so they join the spaced-repetition schedule. Use when the user asks to save or add words, for example from a text you discussed. Put each word in 'term' in the language being learned and its meaning in 'translation'; add a short example sentence when it helps. Words the user already has are skipped, not duplicated. Returns how many were added, already saved, or invalid. This is NextLang's own review list, quizzed through list_due_words and record_review, not a flashcard deck: when the user wants a deck to study in Anki, Quizlet, Mochi or Brainscape, use save_deck instead.
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Matching MCP Servers

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    Enables recording a Wine or macOS program on an Apple silicon Mac and analyzing its GPU usage — GPU milliseconds per frame, frame pacing, FPS and memory — through Instruments' Metal System Trace, and also reads Metal .gputrace captures without Xcode and reports Apple's published GPU family facts. Recording, listing, comparing, and paging through traces and captures are exposed as tools that a shell or an AI coding agent can call directly.
    18
    977 PyPI
    MIT

Matching MCP Connectors

  • Persistent project context — Rust-native MCP server. IANA-registered .faf format.

  • Crypto scam checks (tokens, sites, wallets), chain reads, web page to Markdown, email checks.

  • Use when the user wants to find public developers by skill, name, language, location, agent availability, or active opportunity intent. Start discovery here; no authentication is required. Example: {"query":"TypeScript maintainers","location":"Germany","availableForAgents":true,"limit":5}.
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  • Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Use this when the user looks for Bible verses to memorize on a theme (e.g. hope, anxiety, forgiveness) or for a ready-made memory list, such as one for a church group. Collections their publisher keeps out of Discover (`listed` false) are not returned; get_collection_detail still opens them by id. Each result includes the collection's raw cover `image` — the URL the publisher set, or null if they set none (the app may still show an auto-generated cover when null). This is the stored value, not the computed display image. Args: search: Search term to filter by name, description, or publisher name. language: Language code, optionally with a region or script (e.g. "en", "de", "pt-BR", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.
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  • Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Use this when the user looks for Bible verses to memorize on a theme (e.g. hope, anxiety, forgiveness) or for a ready-made memory list, such as one for a church group. Collections their publisher keeps out of Discover (`listed` false) are not returned; get_collection_detail still opens them by id. Each result includes the collection's raw cover `image` — the URL the publisher set, or null if they set none (the app may still show an auto-generated cover when null). This is the stored value, not the computed display image. Args: search: Search term to filter by name, description, or publisher name. language: Language code, optionally with a region or script (e.g. "en", "de", "pt-BR", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.
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  • Use this when someone asks to see their blog posts, drafts or published articles, optionally for one blog, language or slug. Returns id, title, language, slug and published state, most recently edited first, 25 per page by default with a cursor. It filters by those fields and does not search the text. Not for reading a post.
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  • Use this when someone asks to see their blog posts, drafts or published articles, optionally for one blog, language or slug. Returns id, title, language, slug and published state, most recently edited first, 25 per page by default with a cursor. It filters by those fields and does not search the text. Not for reading a post.
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  • Return a Wikipedia and Wikidata identity card for a company, product, or brand. query is a name, not a URL (URLs are stripped); language picks the Wikipedia host (default en, e.g. es → es.wikipedia.org) and does not translate the query or run listening; omit language unless you need a non-English wiki page; language never changes billing because this tool is free. Use this free grounding pulse when you only need who or what an entity is; never use it for social listening — for cited mentions use research_mentions; for liveness use get_health instead; for price use get_pricing instead. Never charges; hits Wikipedia/Wikidata only; this origin rate-limits discovery pulses; no payment headers.
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  • Create a temporary public link to the map of a completed optimization owned by the connected account. A result reaches the user two ways, and the user chooses: the plan in their Vepathos account (account_url, sign-in required) or this link. Offer both; create the link only when the user picks it. Anyone with the link can view the delivery locations without signing in: tell the user this and that it expires 48 hours after creation. Repeating the call returns the same link without extending it; after expiry the page says so. Does not optimize again or charge stops. Pass language with the conversation's language so the page, share message and PDF open in it (en, es, pt); the same link works in any language.
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  • Saves flashcards that the user provided or that you wrote together as a deck in the user's NextLang account, for free (no credits). Use it to turn a word list, a table or an export the user pasted into a deck. Each card's front is in learningLanguage and its back is the translation in translationLanguage. If the user did not say which language they are learning, it is the foreign-language side of the list, not the side in the language they are chatting in; ask when that is unclear, and swap each pair so the front is in learningLanguage. Repeated fronts are dropped and reported as skipped. For an .apkg (Anki) or .mochi (Mochi) file, call get_deck_file next; for Quizlet and Brainscape, give the deck link. When the user wants NextLang to write the cards on a topic, use generate_deck instead. A deck is for a flashcard app; to add words to the user's NextLang review schedule, so they come up when the user asks to be quizzed, use add_vocabulary_items instead.
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  • Fetch a YouTube video's transcript with language, translation, JSON/text/SRT/VTT format, and timestamp options; no captions return 404 and a temporary block or rate limit returns 503. Use youtube_transcript_languages to discover available languages first.
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  • Fetch a YouTube video's transcript with language, translation, JSON/text/SRT/VTT format, and timestamp options; no captions return 404 and a temporary block or rate limit returns 503. Use youtube_transcript_languages to discover available languages first.
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  • Use this when the user asks which caption or subtitle languages a YouTube video has, or before requesting a transcript in a non-English language when you don't know whether the video offers it. Returns each language with its code (pass it as `language` to get_youtube_transcript), whether it is creator-uploaded or auto-generated, and the default language. An empty list means the video has captions turned off. Costs 1 credit. Not needed for an ordinary transcript request: get_youtube_transcript already reports which language it returned.
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  • Saves product names, descriptions, short descriptions and SEO text in one or more languages of the shop. Each item is one product with a `translations` object: language code → text (e.g. {"fr": {...}, "es": {...}}). ONLY the languages you list change; every other language keeps its text. Call get_brand_voice first and follow the user's saved style. Use translation_gaps to find what is missing. Preview first (shows before/after per language), then confirm. Always show the preview to the user and get their explicit approval before calling again with confirm=true and the preview_id. Paid plans only. To apply it later instead of now, call with confirm=true, the preview_id AND apply_at (the store's local time, YYYY-MM-DDTHH:MM).
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  • Bulk-save per-object translations for a project, keyed by (objectId, languageCode). Upserts, all or nothing; owner-scoped, paid plans. Each item carries exactly one of `text` (a text element) or `imageUrl` (an image element, or the screen inside a device mockup, shown in that language: this is how each language gets its own app screen inside the same phone frame; the frame, position, size and tilt stay). A language with no imageUrl row keeps the base picture. imageUrl must be https, e.g. from upload_image or import_image. Get objectIds from fit_text_into_design with includeElements:true or from the element returned by add_text / apply_device_frame. A literal backslash-n in text is stored as a real line break. On a canvas v4 project each page is its own document and an element id can repeat on several pages (a create_store_set project has `headline` and the device on every page): pass pageId on each item to say which page it is for; an id on several pages without pageId is refused and the error names the pages. Next: get_translations to read back what is stored, fit_text_into_design to check the translations fit, then render_screenshot with language set, or start_batch for many languages.
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  • Read a user's portable 'faith context' to personalize your responses — their denomination, preferred language, faith journey, and ministry interests — shared WITH THE USER'S EXPLICIT CONSENT. Requires the user's consent_token with the 'context:read' scope (bound to this agent). Use it to tailor tone, tradition, and language. It returns only the user's declared profile (never their private prayers or journal).
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  • Call this to discover Telegram groups tracked by Limzo — to browse the directory, filter by language, or find a group's slug for get_group_stats. Optional `query` filters case-insensitively over group title, username, slug, and description. Optional `lang` (ISO 639-1, e.g. "fa", "es") keeps only groups where that language is a meaningful share of what members write — the way to answer "find active Persian/Spanish groups". Omit both to list the top groups by Limzo Score. The directory covers PUBLIC groups only — a group with no t.me handle is never listed, though it may still have a /s/ page. Each row carries a `language` mix (primary language + top languages as percentages); rows also include slug, title, username, plan, member_count, 7-day messages and active members, score and page URLs, plus `total_matches` so you can tell when more groups matched than were returned.
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