"Understanding the term 'throw' in web contexts" matching MCP tools:

• scaffold_providerA

  UploadkitA

  Return a ready-to-paste snippet that wraps the Next.js root layout with `<UploadKitProvider>` so React components can talk to the upload route handler. When to use: right after scaffold_route_handler, to complete the wiring. The snippet goes in `app/layout.tsx`. Without the provider, UploadKit React components throw at runtime. Returns: a plain-text string containing a short explanatory note followed by a fenced tsx code block. Takes no parameters — the endpoint path is always `/api/uploadkit` since that is what scaffold_route_handler produces. Read-only, deterministic, idempotent.

  ConnectorNo auth

• calculate_refi_breakevenA

  Senaro Personal FinanceA

  Calculation, not advice. Verify with a professional before acting. Deterministic mortgage refinance break-even analysis. Given your current loan (balance, rate, remaining term) and a refinance offer (new rate, new term, closing costs, optional points), computes: - monthly P&I savings; - the cash-flow break-even month (Senaro's formula: total refinance cost divided by monthly savings, rounded up to a whole month, built on the payback test the CFPB toolkit describes); - the interest delta over your remaining-term horizon, and each loan's interest over its whole schedule (the current loan's remaining term, the new loan's full term); - a term-matched scenario that isolates the rate cut from a term reset; - a term-reset-trap flag (a longer term and a lower payment, but more interest over the new loan's full term than over the current loan's remaining term); and - the economic break-even (net-worth crossover) month under an equal-outflow model: both sides spend the same each month; the side that keeps the current loan starts with the upfront refinance cost invested at month 0 (nothing when costs are rolled in); money not spent on a payment is invested at investment_return_pct. The search runs to the end of the longer loan term, and stops earlier where a loan's term ends with money still owed. Rate-and-term refis only (cash-out and tax effects are out of scope). Pick this when refinancing your existing mortgage into a new rate and term is the question; pick `compare_mortgage_terms` when comparing two mortgage structures on a purchase you have not yet taken out. All defaults cite primary sources (LodeStar/ALTA closing-cost data, the CFPB toolkit's payback test). Scalar output, no chart series. payoff_months and payoff_month_shift use {status, value, explanation}; the two break-evens use {code, month, explanation}.

  ConnectorNo auth

• get_keyword_serpA

  AppTail – ASO & Keyword ResearchA

  The App Store search results for one term in one storefront, on one day: who ranked, in what order, with their names, subtitles and ratings. This is how you find out WHO took the places an app lost — a rank that fell is a fact, and the results page on the day it fell is the reason. Works for ANY term in the store, tracked or not, known to us or not: pass `keyword_id` for a term you already have an id for, or `keyword` + `country` for words a user typed, which resolves the term and crawls the storefront live when what we hold is over a day old. Omit the date for the most recent crawl. A lookup can persist a new shared keyword record and queue a background crawl that updates stored search observations. It does not track the keyword for your account.

  ConnectorNo auth

• edit_market_corpusA

  AppTail – ASO & Keyword ResearchA

  Add terms to one storefront's corpus, or take terms out of it. Add for a term the corpus SHOULD hold and does not — a rival's brand, a phrase Apple has never measured the popularity of, the term a thin storefront is really about; a pinned term is kept through every rebuild and refreshed on the same 72-hour cadence as the rest. Remove for a term that does not belong: ANY term can go, and one the heuristic found is also kept out of future rebuilds rather than returning within 72 hours. This is NOT `save_market`: seeds are what the corpus is expanded FROM and changing one re-runs the whole heuristic over that storefront, where these two writes act on single terms in the result.

  Connector

  Destructive

  No auth

• get_pricingA

  WebshareA

  Quote a specific proxy plan configuration. The actual price of a chosen `product_id`, country distribution and add-ons, for a customer comparing real prices or about to buy. What Webshare sells in general is in the catalog (list_proxy_catalog), and a configuration outside the bounds get_customize_options reports is refused with a 400. BEHAVIOR: `behavior="add"` prices a new plan alongside the customer's current ones; `behavior="upgrade"` prices changing the plan named in `plan_id`. The two return different numbers for the same configuration. Either one restarts the subscription's term today for every active plan, so the quote charges all of them for a fresh term and gives back the unused part of the current one as credit. TERMS: pass `term="monthly"` or `term="yearly"` for a single quote, or omit `term` to get both terms in the same response, side by side. FREE PRODUCT: rejected with a ValidationError — the free tier is auto-provisioned and not purchasable. AUTHENTICATED VS ANONYMOUS: with `user_id` the response carries `paid_today`, `credits_added` and `credits_used`, which account for the plans the customer already holds, and `tax_breakdown` (when the customer has a payment method on file). Without user_id the response reflects a first-time anonymous purchase quote.

  ConnectorOAuth

• propose_termA

  ESG Hub MCP ServerA

  Submit a new glossary term for human review. Nothing is published immediately: the call creates a pending proposal and returns a `proposal_id`; a reviewer decides whether it goes live, and only an approved term later appears in get_term. Use it only when the user explicitly wants to contribute a term; to look one up use get_term. `name` is the display name and `definition` must be at least 10 characters; `facets` is optional and its values should come from get_esg_metadata / list_industries vocabularies. Requires a write token in ESG_HUB_WRITE_TOKEN — a missing or invalid token returns 401 — and calls are rate-limited.

  ConnectorNo auth

• reflectA

  Penfield MemoryA

  Reflect on recent thoughts and patterns. Analyzes recent activity to identify patterns, topics, and insights. Useful for understanding "what have I been thinking about?" By default, only returns user-created memories (not document chunks). Set include_documents=True to also include chunks from uploaded documents. ⚠️ EXPERIMENTAL: - Importance weighting in results not yet implemented. Importance scores are stored but don't affect ranking. Args: time_window: Time period to analyze ('recent', 'today', 'week', 'month', '1d', '7d', '30d', '90d') include_documents: Whether to include document chunks (default: False, only user memories) start_date: Filter memories created on or after this date (ISO 8601: '2025-01-01' or '2025-01-01T00:00:00Z') end_date: Filter memories created on or before this date (ISO 8601: '2025-01-09' or '2025-01-09T23:59:59Z') ctx: MCP context (automatically provided) Returns: Dict with analysis including top memories, active topics, patterns, insights, and any saved contexts (checkpoints) created in the window. Examples: >>> await reflect("recent") {'success': True, 'memories_analyzed': 50, 'active_topics': [...], 'contexts': [...], ...} >>> await reflect("week", include_documents=True) {'success': True, 'memories_analyzed': 150, ...} # includes document chunks >>> await reflect(start_date="2025-01-01", end_date="2025-01-07") {'success': True, 'memories_analyzed': 25, ...} # memories from first week of January

  ConnectorOAuth

• searchA

  canton-ccpediaA

  Keyword/full-text search over the Canton Network knowledge base (CIPs, Canton/Daml/Splice docs, forum, mailing lists, whitepapers, grant proposals, blog, YouTube, GitHub). Canton-specific. Do NOT use for other blockchains, the web, or local files. Use this for exact-term/name lookups; use semantic_search instead for conceptual or 'how does X work' questions, and get_doc to read a full page once you have its id. NOTE: forum matches cover the topic TITLE and the FIRST POST only; a term that appears only inside a forum reply will not surface here, so use semantic_search (which indexes all forum post bodies) when a forum discussion is likely and this returns nothing.

  ConnectorNo auth

• qm_probe_endpointA

  Quiet MendersA

  Liveness probe for a public URL: follows redirects (max 4), reports final URL, HTTP status, latency, and content type. Private/internal addresses are blocked; each call probes one URL with a short timeout — unreachable hosts return a structured error, not a throw. Free, anonymous. Example: url="https://brianbooms.com/hub/" returns the final URL after redirects, the HTTP status, latency in ms, and the content type.

  ConnectorNo auth

• qm_probe_endpointA

  Quiet MendersA

  Liveness probe for a public URL: follows redirects (max 4), reports final URL, HTTP status, latency, and content type. Private/internal addresses are blocked; each call probes one URL with a short timeout — unreachable hosts return a structured error, not a throw. Free, anonymous. Example: url="https://brianbooms.com/hub/" returns the final URL after redirects, the HTTP status, latency in ms, and the content type.

  ConnectorNo auth

• enrich_providerA

  apis-ioB

  One call, pick your field groups — resolves a slug OR any identifier and returns exactly the groups you ask for, instead of chaining get_provider + get_provider_rating + get_provider_artifacts + get_provider_onboarding. Groups: profile, onboarding, artifacts, rating, insights. Understanding plan — the base groups moved with the rest of the discovery layer on 2026-08-31. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.

  ConnectorNo auth

• insights_industriesA

  apis-ioB

  UNDERSTANDING — the demand-side industry rollup: the sectors the profiled companies fall into. Each row carries TWO counts and they answer different questions: `company_count` is the research roster, `profiled_count` is how many of those you can actually read back via find_company_insights(industry:) — size a cohort on profiled_count. The counterpart to find_industries, which counts SUPPLY (providers publishing APIs into a vertical) — this counts DEMAND (companies buying into it). Comparing the two is how you find a sector with buyers and no sellers. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.

  ConnectorNo auth

• add_glossary_entriesA

  globalize.nowA

  Add (or update) glossary entries for a project in one call. Pass an array of term rows, each with its own source and target term and their project_language ids — so a single source term can have a different translation per target language. Resolve the language ids first with get_project. Entries are upserted on (project, sourceTerm, source, target); re-adding an existing key updates its target term and its do-not-translate flag. Set doNotTranslate on a row for a term that must be kept verbatim (a brand or product name); its stored target term is then forced to equal the source term. Both terms are trimmed of leading and trailing whitespace before they are checked and stored; a source term empty once trimmed is refused. Marks any matching translation-memory entries stale so future translations pick up the change. When referring to a project or language in your reply to the user, use its name and locale (e.g. "French (fr-FR)") — ids (UUIDs) are for tool calls only, never show them to the user.

  Connector

  Destructive

  OAuth

• wrap_for_displayA

  HebrewCore by baba HebrewA

  Make one mixed Hebrew/English display line render correctly: every left-to-right unit (a Latin term, a price, a number with its unit, a range such as "10–20%", a date, a comparison such as "<5") is kept whole and in order, so nothing is reversed or mirrored inside a Hebrew line. `format`: `html` (dir spans, for web and React), `isolate` (Unicode isolates, for iOS, Android 7+ and browsers) or `marks` (LRM/RLM, for any renderer including older Android). Pass `base: "rtl"` for a Hebrew line that starts with a Latin term. Deterministic and free: no character quota.

  ConnectorNo auth

• list_contextsA

  Penfield MemoryA

  List available context checkpoints. Shows all saved contexts available for multi-agent workflows. Args: limit: Maximum number of contexts to return (default 20, max 100) offset: Number of contexts to skip for pagination (default 0) name_pattern: Filter contexts by name (case-insensitive substring match) include_descriptions: Include full descriptions in output (default False for compact listing) ctx: MCP context (automatically provided) Returns: Dict with list of available contexts and their details Examples: >>> await list_contexts() {'success': True, 'total': 3, 'contexts': [...]} >>> await list_contexts(limit=5, name_pattern='investigation') {'success': True, 'total': 2, 'contexts': [...]}

  ConnectorOAuth

• string_enrichmentA

  STRING Database MCP ServerA

  This tool retrieves functional enrichment for a set of proteins using STRING. - If queried with a single protein, the tool expands the query to include the protein’s 10 most likely interactors; enrichment is performed on this set, not the original single protein. - For two or more proteins, enrichment is performed on the exact input set. - When calling related tools, use the same input parameters unless otherwise specified. - Focus summaries on the top categories and most relevant terms for the results. Always report FDR for each claim. - Report FDR as a human-readable value (e.g. 2.3e-5 or 0.023). - IMPORTANT: Remember to suggest showing an enrichment graph for a specific category of user interest (e.g., GO, KEGG) - Very large responses are capped while preserving category diversity. - Use `expand_category` to return only one category with expanded term coverage and per-term gene details. - If a row has `preferredNames_omitted: true`, do not infer which proteins are in that term from the returned rows. Use `string_functional_annotation` with the same proteins/species and `detail_for_term` set to the exact term ID. Output fields (per enriched term): - category: Term category (e.g., GO Process, KEGG pathway) - term: Enriched term (GO ID, domain, or pathway) - number_of_genes: Number of input genes with this term - number_of_genes_in_background: Number of background genes with this term - ncbiTaxonId: NCBI taxon ID - preferredNames: Canonical protein names, only when the full per-term list is short enough to show - proteinCount: Number of proteins matching this term - preferredNames_omitted: True when the gene list was omitted instead of showing a misleading partial list - p_value: Raw p-value - fdr: False Discovery Rate (B-H corrected p-value) - strength: Enrichment effect size, calculated as log10(observed genes / expected genes) - signal: Balanced enrichment-ranking metric combining the observed/expected ratio and -log(FDR) - description: Description of the enriched term Response metadata: - input_gene_name_mapping: Only included when displayed gene lists contain submitted identifiers that differ from STRING preferred names. - category_summary: Total and returned term counts per category; use `expand_category` for categories where `truncated` is true or where the user wants deeper category-specific detail. - truncated_categories / omitted_categories: Categories with terms not shown in the current response.

  ConnectorNo auth

• list_categories_api_agents_categories_getA

  Agentry — The Trust Layer for the Agent EconomyB

  List Categories List all agent categories with counts. Returns every category in the directory along with the number of agents in each. Useful for building category filters or understanding the directory's coverage areas. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json [ { "category": "Category", "count": 1 } ] ```

  ConnectorNo auth

• get_subscription_pricingA

  FINN Auto - Car SubscriptionA

  Calculate exact monthly subscription price for a specific vehicle, term, and mileage combination. Returns base price, km add-on, total, and a canonical checkout URL. Checkout URL structure (always use the URL returned in `checkout_url` verbatim — do NOT construct your own): https://www.finn.com/de-DE/checkout/cart/{vehicleId}/{term}/{kmPackage} https://www.finn.com/de-DE/checkout/cart/{vehicleId}/{term}/{kmPackage}?downPaymentAmount={amount} The three positional path segments after `/cart` are vehicle id, term in months, and monthly km package — in that order. About `down_payment_amount` (Fahrzeugbereitstellung): - Fahrzeugbereitstellung is a one-time vehicle provisioning fee. - When `down_payment_amount` is provided, it is paid upfront as Einmalzahlung (one-time payment) and the URL includes `?downPaymentAmount={amount}`. - When omitted, the same fee is spread across the term and absorbed into the monthly price; the URL has no query string.

  ConnectorNo auth

• get_mission_statsA

  mcp-serverA

  Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.

  ConnectorNo auth

• billing.statusA

  Admin SubstituteA

  Check subscription status, plan details, billing cycle, and feature access. Useful for understanding what the business can and cannot do on their current plan.

  ConnectorNo auth

• find_agent_readinessA

  apis-ioB

  UNDERSTANDING — the agent-readiness leaderboard across the whole catalog. Rank providers by agent readiness, and filter to those that DO satisfy (has) or do NOT satisfy (missing) specific dimensions — e.g. has="mcp_server,protected_resource_metadata" is the OAuth-capable MCP cohort, missing="agent_card" is the addressable market for a fix. Returns agent score + band alongside the Kin Score. Priced per result — $0.005 per request plus $0.0002 per record returned (less past 100), capped at $0.50 a request, under pay-as-you-go; included in Understanding and Influence. Estimate first at /api/v1/prices/estimate. See apis://prices.

  ConnectorNo auth