"Search for 'Potenziati' (Enhanced/Boosted items or concepts in Italian)" matching MCP tools:

• search_docs

  Uploadkit

  Full-text search across every UploadKit docs page (88+ pages — getting-started, core-concepts, SDK reference, API reference, dashboard, guides). Ranks matches by keyword frequency in title, description, and body. When to use: any question about UploadKit behaviour, configuration, or integration that the component tools do not answer — middleware, onUploadComplete callbacks, REST API endpoints, webhooks, presigned URLs, CSS theming variables, type-safety setup, migration from UploadThing, rate limits, etc. Returns: JSON { query, count, indexGeneratedAt, matches: [{ path, url, title, description, snippet, score }] }. Sorted by score descending. Read-only. Bundled index (no network call) — results reflect docs at build time.

  Connector

• perspective_list

  Perspective AI

  Lists perspectives — either browsing one workspace or searching by title across every workspace the user can access. Items include perspective_id, title, status, conversation count, and workspace info. Behavior: - Read-only. - Browse mode (workspace_id, no query): lists every perspective in that workspace. - Search mode (query): matches against the perspective title across accessible workspaces. Optional workspace_id narrows the search. Query must be non-empty and ≤200 chars. - Errors with "Please provide workspace_id to list perspectives or query to search." if neither is given. - Pass nextCursor back as cursor; has_more indicates further results. When to use this tool: - Resolving a perspective_id from a name the user mentioned (search mode). - Browsing a workspace's perspectives to pick or summarize. When NOT to use this tool: - Inspecting one known perspective in detail — use perspective_get. - Aggregate counts or rates — use perspective_get_stats. - Fetching conversation data — use perspective_list_conversations or perspective_get_conversations. Examples: - List all in a workspace: `{ workspace_id: "ws_..." }` - Search by name across all workspaces: `{ query: "welcome" }` - Search within a workspace: `{ query: "welcome", workspace_id: "ws_..." }`

  Connector

• list_alert_inbox

  Valuein — SEC EDGAR Fundamentals & Smart-Money Data

  Newest-first listing of the caller's in-app inbox. Items are alert FIRES with a `dashboard` channel — written by the cron evaluator (or `test_alert`) — plus platform notifications written by the edge-gateway (agent run completions, morning briefs, skipped runs); use list_alerts instead for the alert definitions themselves. By default dismissed items are hidden and read items are included. Cursor-paginated by `fired_at`. Sample tier rejected — alerts are a paid-tier feature (sp500+).

  Connector

• contribute_to_workspace

  MyAITwin

  Copy one or more of your personal knowledge items into an organisation workspace. The originals stay in your personal twin unchanged — this creates copies in the workspace so all members can retrieve them. IMPORTANT: This is a sharing action. Always confirm the items and target workspace with the user before calling this with multiple items. Items you do not own, or that are already in the workspace, are reported as failed per-item rather than aborting the whole batch. If you belong to exactly one workspace you can omit workspace_id; otherwise call list_workspaces first to get the ID.

  Connector

• get_checklist

  Website Spec

  Read-only. Return a Markdown checklist of spec items grouped by category, optionally filtered by category and/or status. Built for site audits — each item is a tickable line with status and canonical URL. Returns all statuses unless `status` is passed. No side effects; items are grouped by category in canonical order and the output is deterministic. Use `list_topics` instead when you want a flat list rather than grouped checkboxes, or the `audit_url` prompt to drive an actual audit of a target URL.

  Connector

• edgar_company_facts

  Edgar

  AUTHORITATIVE full XBRL fundamentals dump for a US public company by CIK. Returns every reported financial metric (hundreds of concepts: revenue, net income, assets, liabilities, EPS, cash flow lines, segment breakdowns) with annual and historical values pulled straight from the company's SEC filings — the official numbers, not estimates. Use when you need the complete fundamental picture vs. one metric (for one metric use edgar_company_concept). Large payload; agents typically use this once to discover available concepts then narrow to edgar_company_concept for follow-up queries.

  Connector

• search_recipes

  food-recipe-mcp

  Search a database of recipes using hybrid semantic search (dense + sparse) with reranking. The database contains ~50,000 recipes from Food.com covering a wide range of cuisines, meal types, and cooking styles. Recipes include nutritional information, difficulty ratings, and user ratings. Use natural language in the query to describe what you are looking for — cuisine, style, main ingredient, occasion, or mood all work well. Norwegian and English are both supported natively. Examples: 'quick Italian pasta for weeknight dinner' 'Swedish meatballs with gravy' 'healthy high-protein chicken bowl' 'easy chocolate cake for beginners' 'something with salmon and lemon' 'Indian curry chicken' 'traditional Norwegian kjøttkaker' 'hurtig pasta med kylling' 'enkel sjokoladekake' Args: query: What you are looking for — describe the dish, cuisine, main ingredient, cooking style or mood freely. Any language is supported. diet: Optional — filter by dietary requirement: 'vegetarian', 'vegan', 'gluten-free', 'dairy-free', 'low-carb', 'keto', 'paleo' max_minutes: Optional — maximum total time in minutes, e.g. 30 difficulty: Optional — 'easy', 'medium' or 'hard' servings: Optional — not used for filtering (servings vary), but include in query for scaling context, e.g. 'pasta dish for 6 people' limit: Number of results to return after reranking (default 5, max 20) Returns: List of recipes ranked by relevance. Each result includes rerank_score, rrf_score (hybrid fusion), title, total_time, difficulty, diet labels, ingredients, instructions, nutrition, rating, and source URL context.

  Connector

• call_creative_worlds

  Heista

  Heista's creative direction engine — same engine the Creative Director specialist runs internally, exposed over MCP. ONE-SHOT: give a brief, get N finished creative outputs. For back-and-forth refinement, or output shapes the `medium` enum below does not cover, use chat_with_creative_worlds instead. OUTPUT SHAPE switches on the `medium` arg: • omitted → N territory cards (default exploration). Each card sits on different psychology / craft / feel / world axis coordinates so the set spans the creative space rather than orbiting one insight. Card has: name, campaign line, 5-8 sentence pitch, one-sentence strategic bet, resolved axis state names, creative-director rationale. • `tvc` → N TVC scripts (15-90s — hook, arc, resolve, sound design, end line). • `billboard` / `ooh` / `print` → N out-of-home concepts (visual concept + line + placement rationale). • `social` → N social-video concepts (hook + format type + middle beat + payoff, optimised for Reels / TikTok / Shorts). • `activation` / `experiential` → N activation concepts (space design + user journey + peak moment + takeaway artifact). • `audio` → N sonic / radio concepts (sonic scene + voice + audio arc). • `campaign` → N full campaign platforms (insight → big idea → strategy → visual world → production roadmap). The engine can also produce manifesto / copy, naming, packaging, PR stunts, content series, brand positioning, partnerships — these output shapes are NOT in the medium enum, so use chat_with_creative_worlds when the user wants one of those. USE WHEN: user says "give me ideas / options / directions / territories", "what angles work for...", "show me three / five ways to...", "write a TVC for...", "draft billboard concepts for...", "I need fresh thinking on...". DO NOT USE to refine one existing direction (use chat tool), to critique work, for OKRs / internal docs / strategy decks, or anything outside advertising creative direction. INPUTS: brief (the creative problem, free text), count (2-6 concepts), optional brand_id (from list_brands or any create_powersource_* — when provided the engine grounds output in the brand's buyer tensions, voice, and selling points), optional medium (above), optional lens_hint (apply a playbook or signature move as a creative constraint), idempotency_key (safely retryable for 5 minutes). Returns the finished creative output as narrative text PLUS a structured array of resolved axis coordinates for programmatic use. Metered — typically 3-15 credits per call depending on count and brand context size. Charged after success on actual token usage.

  Connector

• demand.create_watch

  iwant.fyi - demand-side commerce

  Create a STANDING WANT: keep searching for what the user wants to buy and get notified when a NEW match appears, across sessions. Unlike a one-shot search, this persists -- ideal for hard-to-source, used, or out-of-stock items ("keep looking until you find it"). Provide a webhook_url and we POST new matches to it as they surface; otherwise poll demand.list_watches. Same query shape and enforced constraints as demand.search.

  Connector

• search

  DC Member API

  GET /search — Cross-resource omni-search Cross-resource search across profiles, rooms, messages (incl. private DMs + group DMs you're in), events, and chapters in one round trip. Returns the top-N matches per resource, grouped by resource. Use this when you don't yet know which resource carries the answer — agents typically call this first, then drill into a specific `GET /search/<resource>` for more depth on a single bucket. There's no page param: when you hit the per-resource limit and want more, switch to the per-resource endpoint for that one. The events slice has a baked-in forward-looking default (events ending in the last 30 days or later, and currently enabled) — this matches the in-app "Search across DC" surface. Use `GET /search/events` directly to look further back in time. **Query syntax (`q=`):** plain words match with prefix + typo tolerance. Wrap a phrase in double quotes to require an exact ordered match — e.g. `q="remote work"`. AND/OR/NOT/parentheses are NOT parsed in `q=` — use the structured filter params below for boolean composition.

  Connector

• aws___search_documentation

  AWS Knowledge

  AWS docs search. Each result's `context` is verbatim page text -- a real chunk of the actual page, not a short snippet -- and usually already contains the answer, so answer directly from it. Use `read_documentation` only when the chunks genuinely lack the needed detail. Pick ONE topic. Add a 2nd ONLY if query genuinely spans domains. Extra topics dilute ranking. - reference_documentation -- API/SDK/CLI specs, config params - current_awareness -- new/released/announced - troubleshooting -- errors, "how to fix" (NOT for conceptual/feature questions) - amplify_docs -- Amplify (+ language) - cdk_docs -- CDK concepts/guides - cdk_constructs -- CDK code samples, L3 - cloudformation -- CFN/SAM templates - strands_docs -- Strands Agents SDK (its Skills/agents concepts go here, NOT agent_skills) - agent_skills -- this tool's guided skills (load via `retrieve_skill`) - general (default) -- architecture, best practices, tutorials, feature behavior Results: rank_order (lower=better), url, title, context (verbatim page chunk -- answer directly from it).

  Connector

• shippingrates_total_cost

  freightgate-mcp-server

  Calculate the full landed cost of shipping a container — combines freight rates, surcharges, local charges (origin + destination), demurrage/detention estimates, and transit time into one comprehensive estimate. This is the most comprehensive tool — a single call replaces 5-6 individual queries. Use this when the user needs an all-in cost estimate for a specific shipment. For individual cost components, use the dedicated tools: shippingrates_rates (freight), shippingrates_surcharges, shippingrates_local_charges, shippingrates_dd_calculate (detention). PAID: $0.15/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: { freight: { rate, currency }, surcharges: { total, items[] }, local_charges: { origin: { total, items[] }, destination: { total, items[] } }, detention: { days, cost, currency }, transit: { days, service }, total_landed_cost, currency }

  Connector

• shippingrates_total_cost

  ShippingRates MCP Server

  Calculate the full landed cost of shipping a container — combines freight rates, surcharges, local charges (origin + destination), demurrage/detention estimates, and transit time into one comprehensive estimate. This is the most comprehensive tool — a single call replaces 5-6 individual queries. Use this when the user needs an all-in cost estimate for a specific shipment. For individual cost components, use the dedicated tools: shippingrates_rates (freight), shippingrates_surcharges, shippingrates_local_charges, shippingrates_dd_calculate (detention). PAID: $0.15/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: { freight: { rate, currency }, surcharges: { total, items[] }, local_charges: { origin: { total, items[] }, destination: { total, items[] } }, detention: { days, cost, currency }, transit: { days, service }, total_landed_cost, currency }

  Connector

• shippingrates_total_cost

  FreightGate MCP Server

  Calculate the full landed cost of shipping a container — combines freight rates, surcharges, local charges (origin + destination), demurrage/detention estimates, and transit time into one comprehensive estimate. This is the most comprehensive tool — a single call replaces 5-6 individual queries. Use this when the user needs an all-in cost estimate for a specific shipment. For individual cost components, use the dedicated tools: shippingrates_rates (freight), shippingrates_surcharges, shippingrates_local_charges, shippingrates_dd_calculate (detention). PAID: $0.15/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: { freight: { rate, currency }, surcharges: { total, items[] }, local_charges: { origin: { total, items[] }, destination: { total, items[] } }, detention: { days, cost, currency }, transit: { days, service }, total_landed_cost, currency }

  Connector

• suggest_terms

  Arco Lexicon

  Scans a block of text against all published Arco Lexicon terms using deterministic string matching — no LLM calls. Returns two lists: terms whose canonical names appear explicitly in the text (detected), and terms whose concepts are present but whose canonical names are absent (suggested). Maximum 10,000 characters. Use this to audit an article or passage for correct and complete Arco terminology. Use verify_alignment instead when you want a scored alignment report rather than a term discovery list.

  Connector

• emem_benchmark

  emem — Earth memory protocol

  Hand-verified evaluation items for grading an agent against the responder. Returns {items[], grader_url}. Submit answers (cell64 or fact_cid per item) to POST /v1/benchmark/grade for per-item scores. Items today: elevation recall, NDVI, find_similar neighbours. When to use: Call once at agent-onboarding time (or in CI) to fetch the canonical task list, then have the agent answer each item using its normal tool routing, and POST the answers map to /v1/benchmark/grade for a deterministic score. Lets an operator regression-check that an agent build still hits ground truth.

  Connector

• get_sc_theory

  SCModeling

  Reference guide to supply-chain simulation concepts: ordering policies, BOM, FDD formulas, event-driven simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does this work' question rather than asking for a number.

  Connector

• search_italian_tax_sources

  TaxCompass — Italian tax tools

  Search TaxCompass's primary-source corpus and return passages to cite. Hybrid semantic + keyword retrieval over Italian tax & company-law primary sources: Normattiva (statute), Agenzia delle Entrate (circolari & guidance), INPS (social security), pinned tax-year tables (IRPEF brackets, INPS rates, forfettario thresholds & coefficienti di redditività), the ATECO 2025 code catalogue, and EU/treaty sources. Each result carries a `chunk_id`, `source`, and (usually) a `url`. Cite the `url` and quote the `text`; do not assert Italian tax facts the passages don't support. Queries work in any language, but Italian keywords improve recall against the (Italian) legal corpus. Args: query: What to search for. Keyword-dense Italian phrasing works best. sources: Optional subset to restrict to (see `list_tax_sources` for keys). Omit to search everything. Unknown keys are ignored. k: Max passages to return (1–12).

  Connector

• search_indexed_documents

  RChilli MCP Hub

  Keyword-search the user's ALREADY-INDEXED corpus of resumes or JDs and return matching documents (RChilli Search Engine). Requires documents to have been indexed beforehand. Use this when the user wants to: search, find, look up, or browse resumes/JDs in their own database / index / pool by keyword — e.g. "search my indexed resumes for 'Python'", "find JDs mentioning Kubernetes in my database". Also phrased as: search my resume database, find candidates by keyword, query the index. Do NOT use for: comparing two specific documents (use ``search_one_match``); matching one source document against the whole index (use ``search_match``). Args: keyword: Search keyword. indextype: Index type to search — ``Resume`` (default) or ``JD``. userkey: RChilli userkey. Leave blank to use the authenticated session key. subuserid: Sub-user identifier for multi-tenant isolation.

  Connector

• chile_search_tenders

  Chile Procurement

  Search Chile government procurement tenders (licitaciones) from Mercado Público / ChileCompra, the official Chilean public-procurement platform. By default returns tenders published TODAY. Pass estado="activas" for all currently OPEN tenders, or fecha="ddmmyyyy" (e.g. "01072026") for tenders published on a specific day. Returns each tender's código (CodigoExterno), name, status, and closing date. Use chile_get_tender with a código for full detail (buyer, amount, line items).

  Connector