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525,896 tools. Updated 2026-09-06 23:43

"A server for finding vibe code or vibe-related programming content" matching MCP tools:

  • Ask the Emoji Oracle a question and receive a cryptic emoji prophecy with vibe rating. Optionally request interpretation of the emoji sequence. Returns emoji sequence, vibe rating (1-10), and optional text explanation.
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  • Issue a fresh pairing code + URL (TTL 10 minutes) for claiming a hatch (tenantId) or authorizing an agent session in a workspace (workspaceId). Render pairingUrl as a QR for the Vibe Rooster app.
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  • Find a meme that captures a vibe, idea, or concept. Returns ready-to-embed images with citation blocks. Use this when writing posts, articles, or social content and you need a meme to illustrate a point.
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  • Generate base character images from a niche/vibe/prompt. Returns a jobId; poll with ryla_generation_status.
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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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  • Discover wellness practitioners, events, communities, and modalities through Let's Vibe.

  • Ask business questions in plain English. Get instant answers from your database, no SQL needed.

  • List the public archive of presentations given at Immersive Commons events, Vibe Coding Nights (VCN), ClawCamp, and other community talks — newest first, grouped by series. No auth required. NOT to be confused with ic_resources_list (that lists bookable rooms). Use ic_presentations_get for one VCN session's detail. Args: { series?: string (e.g. 'VCN'|'ClawCamp'|'Talk'), format?: 'deck'|'slides'|'video'|'doc'|'link', limit?: number (max 200, default 100) }. Returns: { count, total, series: string[], scaffold, by_series: Array<{ series, presentations: P[] }>, presentations: P[] (flat) } where P = { session_no (number, VCN-only; null for non-VCN talks), series, title, date, format, public_url, deployed, speaker?, event?, summary? }. `scaffold:true` means placeholder data (real manifest not yet synced). `public_url` is a direct view/download link, null if unpublished (local-only).
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  • Redeem the emailed 6-digit code for a reveal-once workspace API key. UNAUTHENTICATED. `email` + `code` must match a code issued by signup(email) within the last 15 minutes (5 attempts max). The returned `api_key` is shown exactly ONCE — store it ONLY in the MCP client config ("Authorization: Bearer <api_key>"), NEVER in a repo or a file you might commit. Then reconnect this server with the header set and call get_onboarding_status(). An invalid/expired/consumed code returns a uniform error — call signup(email) for a fresh one.
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  • Get a complete, distinctive, reference-backed art direction for a website: palette with exact hex roles, type pairing, layout DNA, hero spec, component treatments, imagery rules, matched motion recipes, and public-product reference evidence. Use FIRST, before building, so the site has a coherent direction instead of defaults. The catalog holds 14 directions: 9 with light base palettes and 5 dark — pass tone to constrain. If you only know the business name, call it anyway: the response will give you a few quick questions to ask the user, then call again with their answers as vibe/audience. REDESIGNS: if the business has an existing website, pass its URL as current_site_url — Standout fetches it server-side and returns a content inventory (services, prices, hours, contacts) plus a redesign protocol, so no questions are needed.
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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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  • Returns a complete, ranked restaurant recommendation for a dining occasion: the final answer, not a search. Each result already carries a grade (or preliminary_band), match_reasons, and caveats weighed against the request. Call it ONCE per question, with the full ask (cuisine, occasion, vibe, constraints) in query and the place in location. Do not re-call with reworded variations or call lookup_restaurant on each result to double-check it; that adds latency, not a better answer. If a result carries caveats, coverage_level 'basic', or a message noting a thin pool, relay it to the user instead of searching again. Requires a location: include one in your query (e.g. "in Soho"), or provide location, or latitude/longitude, or the tool refuses with location_required instead of guessing a city.
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  • Start publisher registration (requires the human's consent — registers their email). Pass server_url (the MCP server's own URL or repo link) when known — it drives the "server URL set" step on the publisher's dashboard, skipping it leaves that step looking incomplete even once real traffic flows. Emails a 6-digit verification code to contact_email; ask the human for the code, then call confirm_publisher(pending_id, code) to receive the API key. This tool does NOT return a publisher_id or api_key — only confirm_publisher does.
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  • Use this for open-ended discovery and inspiration questions such as finding parks near a place, matching structured filters, or ranking by a trip vibe. Accepts structured search.v1 geo, filter, vibe, paging objects, and natural_language original wording, and returns lightweight public property_ref/property_url candidates with matched signals, channel_state and canonical actions. Request to Book sends an unconfirmed request to the park; directory-only results have a neutral View park handoff. Fill structured fields you are confident about and also pass the traveller's phrasing in natural_language; structured geo/filter/vibe fields take precedence, and natural_language only augments deterministic alias recovery and vibe ranking. This tool resolves places with geo.type='place' and geo.query, and family-friendly prompts should use the soft vibe.traveller_appeal=['families'] preference rather than an unsupported hard family_friendly filter. To filter on amenities or curated highlights (campfires, pools, pet-friendly, waterfront, etc.), call tp_search_filter_options to discover the catalog, then pass filter.feature_names/filter.highlight_names; the server resolves them to canonical feature_ids/highlight_ids. For room/site option wording such as ensuite, drive-through, slab, powered, unpowered, tent-only, accessible, spa, pet-friendly cabin, or pet-fee, set filter.option_facets and still include the traveller's original wording in natural_language. For off-site needs, use filter.local_proximity entries with a topic and maximum straight-line kilometres. Supported topics are supermarket, pharmacy, boat_ramp, dump_point, ev_charging, beach, and brewery; multiple entries are ANDed. Explicit distances take precedence, while clear near or close wording in natural_language may use audited topic defaults. Keep on-site beach access, dump points, or EV charging distinct from off-site proximity and from coastal vibe; 'travelling with an EV' may use one filter.any_of group for on-site or nearby charging. Never present these distances as walking or driving distance. Missing or stale local evidence means unverified, not that no venue exists. For an explicit Google star threshold, set filter.min_google_rating; properties with a lower or missing cached Google rating are excluded. Do not invent a numeric threshold from vague wording such as top-rated. When quoting a score, identify it as a Google rating. For dog-friendly or pet-friendly searches, also set filter.pet_friendly=true. This discovery tool does not accept booking intent and does not verify pets, rig fit, dates, restrictions, or price. For open-ended searches with dates, guests, rig details, or pet intent, use tp_search_stays. For a concrete stay at a chosen park, call tp_assess_stay. When the answer is ready for presentation, pass this search output to tp_render_result_cards once; this data tool does not render a widget itself.
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  • Use this exactly once after the data calls are complete and the host can display MCP Apps UI. Pass search_response for search-only cards, assess_stay_result for one assessed park, or both to render a final stay shortlist: the assessed park's room/site options first, followed by up to three compact planning-level fallback parks from the search. The assess_stay_result must be the park selected as the recommendation in the answer. When the traveller asked for parks near a place or landmark (town, ferry port, airport), recommend the same-tier candidate with the smallest geo matched_signals[].detail.distance_km. Do not recommend a farther park just because it ranks higher on vibe or quality. Optional fallback_property_refs chooses and orders alternatives. Do not call this after each intermediate search or assessment. This tool does not search again, change ranking, create a cart, hold inventory, take payment, or confirm a booking; clients without UI support can ignore it and use the plain structured output from the data tools.
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  • Start charging for an MCP server the user owns. Use when they want to monetize, sell, charge for, get paid for, put a price on, or make money from a server, API or tool. Buyers pay their wallet DIRECTLY on-chain — PayGate never holds the money, so there is no payout to wait for, no balance to withdraw and no commission taken. Their server is never modified and needs no payment code. Tools are imported automatically, so it must be publicly reachable over HTTPS and answer tools/list. Returns a proxy URL and a secret api_key shown only once; save it, every other seller tool needs it.
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  • List the shows most related to a podcast, best first — "shows like this show". Each result carries the related show's slug, a calibrated score in (0,1], and a coarse band (strong: same beat and audience; moderate: overlapping subject or audience; weak: a loose connection) to branch on. Add `include: ["basis"]` to see WHY each pair is related: content similarity of recent episodes, shared topics, shared guests (named), same publisher, shared sponsors — use it to explain a recommendation or to keep only pairs related for the reason you care about (shared guests for booking, content for media planning). Related sets are precomputed per show from its transcripts, topic profile, guest roster, network and advertisers, restricted to the show's language; a show whose set has not been computed yet returns an empty list, not an error. Not a topic browser: for shows that COVER a topic use `particle_podcast_resolve` with `topic_slug`. Not a guest lookup: for where a person has appeared use `particle_podcast_get_guest`. Not advertiser co-occurrence: use `particle_podcast_get_sponsors`. Every related show's slug feeds `particle_podcast_resolve`, `particle_podcast_list_episodes` and the other podcast tools; person slugs in the basis feed `particle_podcast_get_guest`, topic slugs feed `particle_podcast_resolve`'s `topic_slug`. For the five most related shows inline on a resolve, pass `include: ["related"]` to `particle_podcast_resolve` instead of calling this tool.
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  • Create a new blog post. Body can be authored two ways: (1) `content` as markdown (GFM) + inline raw HTML, or (2) `blocks` — a structured array of typed layout blocks rendered as styled components (heroes, columns, callouts, code cards, embeds, CTAs, sanitized custom HTML). Prefer `blocks` for rich, magazine-style layouts; use `content` for simple prose. If both are given, `blocks` renders and `content` is kept as a fallback.
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  • Deterministically VERIFY a proposed fix before writing it — runs the same patch-policy + verify_fix + blast-radius gates as `qremediate` (offline, no key, no network). Give the finding, the file's current content, and your proposed FULL corrected content; returns approved:true only if the patch is in-policy, clears the finding, adds no new finding, introduces no network/exec sink, and is bounded in size. This does NOT write the file — you write it, only when approved, and never auto-merge.
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  • Produce a deterministic remediation REQUEST bundle (rubric + fix schema + per-finding metadata + fingerprints) for YOU (the host agent) to fix. This tool calls no model and needs no key. For each finding, propose the corrected FULL file content, then VERIFY with verify_fix and keep only fixes that clear the finding. Never touch files with secrets; never auto-merge. Pass 'findings' from scan_path --format json.
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  • Search FDA 510(k) clearances across all companies. Filter by company name (fuzzy match), product code, decision code (e.g., SESE=substantially equivalent), clearance type (Traditional, Special, Abbreviated), and date range. Returns clearance number (K-number), applicant, device name, decision date, and product code. Related: fda_device_class (product code details and classification), fda_product_code_lookup (cross-reference a product code across 510(k) and PMA), fda_search_pma (PMA approvals for higher-risk devices).
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  • Lookup FDA device classification details by product code. Returns device name, device class (I/II/III), medical specialty, regulation number, review panel, submission type, and definition. Requires: product code (3-letter code from 510(k), PMA, or device product listings). Related: fda_product_code_lookup (cross-reference across 510(k) and PMA), fda_search_510k (clearances for this product code), fda_search_pma (PMA approvals for this product code).
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