Skip to main content
Glama
753,238 tools. Updated 2026-11-06 19:57

"A server for finding information about USA logistics" matching MCP tools:

  • Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.
    ConnectorNo auth
  • Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.
    ConnectorNo auth
  • Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • Retrieve The Hill Kinabalu’s official public wedding venue and 2026/2027 package information, including capacity, event sizes, starting package prices, key inclusions, add-ons without prices, payment structures, and enquiry links. Use this when someone asks about weddings, wedding packages, the event venue, guest capacity, package pricing, or how to enquire. This tool does not check date availability or submit an enquiry.
    ConnectorNo auth
  • Buy a USA prepaid Visa card loaded with EXACTLY the requested balance ($5–$1000). Dynamic x402 price = amount + fee (3% min 0.50 USDC) — the 402 instructions carry the exact total. Returns 202 with an operation_id: poll card_status until ready (~10s), then fetch the number with card_get. US merchants only; non-reloadable (spend across transactions until depleted); max 6 cards per agent per rolling 24h (issuer limit).
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
    6
    MIT

Matching MCP Connectors

  • Returns instructions for migrating from an existing auth provider to PropelAuth in a fullstack Nextjs App Router or Nextjs Pages Router application. If the user is using Next.js as just a frontend (e.g. client-side rendered with or without server routes), use the migrate_to_propelauth_frontend tool. Guidance includes installation and configuration, retrieving user or org information, logging users out, redirecting users to login, and more. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc
    ConnectorNo auth
  • Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.
    ConnectorNo auth
  • No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.
    ConnectorNo auth
  • Return the holdings this user has already registered in FinBridge with import_portfolio — listed stocks plus cash, crypto, ETF and physical assets — valued at the latest prices, with return and asset allocation. A user who has registered nothing gets an empty list. Not this tool for: analysing or valuing a company (get_valuation), prices (get_stock_prices), or finding companies (search_dart_company / search_edgar_company). It reads only what this user stored, so it knows nothing about a company they do not hold. Crypto and ETFs use live ccxt quotes, stocks the latest close in the database, cash and physical assets the registered amount. allocation is aggregated per currency; combined converts everything to KRW using an ECB-derived USD/KRW rate.
    ConnectorAPI key
  • Staff headcount and list for one GDC facility, from a GDC-produced roster. Answers "how many staff work at X", "how many officers work there", "list the staff at X". `slug` is the facility slug, e.g. 'dooly-state-prison' (use list_facilities to find it). `title` optionally filters by job title. GDC abbreviates heavily: correctional officers appear as "Correctional Ofc", clerical staff as "Admin Support" or "Admin Assistant". Try both the plain word and the abbreviation. ALWAYS report the `observed` date alongside any figure from this tool. A roster is a single-day observation, not a statement about who works there today. A zero for a role is a finding about the roster rather than missing data: the roster holds no nursing, physician or dental titles anywhere in GDC, which is consistent with medical staffing being contracted rather than directly employed. Do not assert that reason as established fact.
    ConnectorNo auth
  • TikTok videos matching a keyword, ranked by the platform's own search. Use when: "what is TikTok saying about X", finding creators in a category, watching a product or a brand name. Not for: one account's own videos, use tiktok_get_videos. A complete window of everything posted (TikTok search is ranked and never complete). Returns: List, ranked. rows[]: videos with author and author_followers, created_at, text (cut at 2000 characters), likes, comments, shares, saves, views, media, duration_s, links, transcript and top_comments[]. saves is how many people saved it, music the sound, and author_followers sizes each creator without another call. null or empty = the platform does not publish it. Cost: 1 credit per page. Cached 6 hours. Example: {"query": "creatine gummies", "since": "month", "sort": "popular"}
    ConnectorAPI key
  • Search China Footnotes for sights and neighbourhoods in the Chinese cities it covers. Matches English or Chinese names, aliases, district, type and tags. Suited to questions about what to see or do in a city, and to finding a place's id from its name. With no arguments it lists places and the city ids covered; asked about a city it does not cover, it says so rather than returning unrelated places. Returns short summaries with ids and page links, best match first; matchedAll is false when no place matched the whole query and the results only share some words with it. Opening hours, tickets, booking and traveler tips come from get_place.
    ConnectorNo auth
  • Find 10ML's perfume and fragrance guides to read or cite: how-tos (where to spray, finding a signature scent, making perfume last), notes explained, house guides, lists, and alternatives guides that compare famous perfumes with similar ones from other houses. Returns title, type and a link per locale. Use whenever you want a source to cite or a deeper read ('how to layer perfume', 'best oud perfumes', 'Creed Aventus dupes guide'). Not for facts about a perfume (use get_perfume) and not for note definitions (use explain_note).
    ConnectorNo auth
  • Busca guías públicas de Hostbrid sobre cómo alojar o publicar webs y apps creadas con IA, incluidas Lovable, Google AI Studio, Firebase Studio, Emergent y Codex; webs de clientes para agencias con Sites Agency; y cómo elegir entre Projects, Sites o VPS. Busca también soporte y artículos del blog para pasos, compatibilidad o diagnóstico al publicar o mantener una web o aplicación. Usa hostbrid_listar_planes_publicos si te piden nombres de planes, precios, cuotas o una comparación comercial. Busca por título, resumen o etiquetas; si conoces el idioma preferido del usuario, pásalo en «idioma» para ordenar primero las coincidencias del blog. La base de conocimiento no tiene idioma por artículo; conserva otros idiomas. Los campos «url» y «url_canonica» son enlaces editoriales limpios; «url_atribuida» añade UTM fijos para medir referencias MCP. Nunca se incluye la consulta en una URL. Al recomendar una guía, usa «url_atribuida» para conservar la atribución; reserva «url_canonica» para cuando se solicite un enlace sin seguimiento. Devuelve metadatos públicos, no texto íntegro. No accede a cuentas ni artículos privados. Para datos o recursos de una cuenta, usa el MCP privado https://my.hostbrid.com/mcp solo con una clave creada por el cliente; nunca intentes obtenerlos desde esta búsqueda.
    ConnectorNo auth
  • List security/safety findings for your workspace, most recent first. Optionally filter by status, target model, minimum severity, or a specific run. Returns a compact summary; call get_finding for the repro detail of any one finding. On a plan that withholds a finding's proof, category reads '[redacted]' and get_finding returns the same — the finding and its severity are real, the evidence is withheld. Paginated: 200 findings per page (max 200). The result carries total_matched and, when there is more, next_cursor: pass it back as 'cursor' with the same filters (it is bound to them) to read the next page, until it is absent.
    ConnectorOAuth
  • 🗺️ GARIMPO LEADS — Busca estabelecimentos no Google Maps (como o botão "Google Maps" da tela) e devolve uma PRÉVIA: nome, telefone, site, endereço, avaliação. Não grava nada — para salvar, mande os escolhidos em add_domain_checker_leads com um list_name. Usa a chave Google Places da conta (gera custo): até 5 cidades × 5 tipos por chamada.
    ConnectorOAuth
  • Crea un cycle (sprint) en un proyecto (sin id) o actualiza uno existente (con id). Al CREAR: projectId, startsAt y endsAt obligatorios (epoch ms, endsAt posterior a startsAt); name opcional. El número (Cycle N) lo asigna el servidor, por proyecto. En UPDATE (con id) edita name, startsAt y endsAt; ausente = no tocar, name null = limpiar. Un cycle NO se mueve de proyecto. Los cycles de un mismo proyecto pueden solaparse en el tiempo. Para meterle issues, usa save_issue con cycleId. Usa list_projects/list_cycles para los ids. El workspace sale del proyecto (o del propio cycle al actualizar); al CREAR, la respuesta dice en qué `workspace` quedó.
    Connector
    Destructive
    API key
  • Create one or more findings in Mallory. A finding is a durable record that a specific problem exists on a specific asset belonging to the caller's own organization — not a chat message and not a note to yourself. It is visible in the Mallory UI to everyone in that organization, and nothing on this server deletes one: a finding filed by mistake can only be marked dismissed with updateFinding. WRITES IMMEDIATELY. There is no draft, no preview and no confirmation step — calling this tool IS the write. Only call it when the user has asked, in so many words, for findings to be filed in Mallory ("create a finding for that", "file these"). Finishing an investigation is not permission to file its results: report them and let the user decide. WHAT TO SEND - definition_slug must ALREADY EXIST in the catalog. Look one up with the queryApi tool, path "/v1/finding_definitions" (filter by category or severity to narrow). Never invent a slug, and never substitute a near-match for one that was rejected — that files the wrong kind of finding. - One finding per problem per asset. Five misconfigured buckets are five findings sharing a definition_slug with five different asset_identifier values, not one finding listing five buckets. Send the whole batch in ONE call (max 25): each is created independently, so one duplicate does not block the rest. - asset_type is a provider.service.object value (e.g. aws.s3.bucket, aws.iam.role, github.repo, azure.storage.account), or "generic" when nothing fits. Legacy underscore forms like "s3_bucket" are rejected. - summary / body / remediation are markdown, and are read by people who were not in your conversation: what is wrong, how you established it, and the actual fix. - evidence is one entry per thing you actually OBSERVED — the query and what it returned, the endpoint and its status, the file and the matching line. Three observations are three entries. Never write evidence for something you inferred rather than observed; lower confidence and say so in body instead. ENUM VALUES ARE CASE-SENSITIVE AND EACH FIELD HAS ITS OWN SET. severity is UPPERCASE (CRITICAL, HIGH, MEDIUM, LOW, INFO) and optional — omit it and the definition's own default applies, which is usually right; override only when this instance is genuinely worse or milder than the type normally is, and say why in body. confidence is lowercase (low, medium, high). Status is not settable here: a finding is created open, and status values are lowercase (see updateFinding). OUTCOMES come back per finding, in `created` and `failed`: - DUPLICATE — an open finding already covers that asset, and `existing_finding_uuid` names it. Say so and move on. Do NOT re-word the title and retry; to change the one that exists, call updateFinding with that uuid. - UNKNOWN_DEFINITION — the slug is not in the catalog. Look up a real one; do not guess a neighbouring slug. - INVALID — core rejected a field, most often asset_type. Fix that field, not the slug. - INVALID_ASSET_IDENTIFIER — asset_identifier names no asset (a placeholder such as "unknown", or a bare word such as a tool or data-source name, with asset_type "generic"). Nothing was written. Use the real affected asset from the source data (host:port, hostname, URL, account, repository); never invent one. - PLAN_LIMIT — findings are not included in this tenant's plan. The request was fine, nothing is broken and nothing was written: tell the user, pass on the upgrade link if the outcome carries one, and do not retry or reach for another tool to file it. `list_url` is null outside the Mallory chat app — there is no conversation for an MCP call to scope a list to. Read a created finding back with getFinding using the uuid in `created`, or browse the tenant's findings with listFindings.
    ConnectorAPI key
  • Update ONE existing Mallory finding in place — its status, severity, confidence, title, summary, body, remediation, qualifier or asset_details. Use it when new information changes an already-filed finding: the problem was fixed, it turned out not to apply, a vulnerability proved reachable, corroborating intel changes how bad it is. WRITES IMMEDIATELY to the caller's own organization's data, and the result is visible in the Mallory UI to everyone in that organization. There is no preview and no confirmation step — calling this tool IS the write. Only call it when the user has asked for the change. - uuid identifies the finding. Get it from listFindings or getFinding, or from a createFinding DUPLICATE outcome's `existing_finding_uuid`. Never construct or guess one. - ONE finding per call. To change status or severity across a SET of findings you can only describe ("dismiss all the unrotated-secret findings", "mark everything on foo/bar medium"), use bulkUpdateFindings — do NOT loop this tool over a selection. - The finding's identity — definition_slug, asset_type, asset_identifier — cannot be changed. A different problem, or the same problem on a different asset, is a new finding (createFinding). - body REPLACES the stored text rather than appending to it. To add to a finding, read the current text first with getFinding and send the combined text, or the prior detail is lost. There is no evidence field on update: new evidence goes into body as prose. - qualifier is part of core's open-finding dedupe key, so changing it can collide with another open finding on the same asset (CONFLICT). In user-facing status messages, use "fixed" and "mark as fixed" consistently. ENUM VALUES ARE CASE-SENSITIVE AND EACH FIELD HAS ITS OWN SET. severity is UPPERCASE (CRITICAL, HIGH, MEDIUM, LOW, INFO). status is lowercase with exactly three values: open, fixed, dismissed — "resolved", "closed" and "assigned" are not statuses, and neither are the resolution reasons (false_positive, accepted_risk, not_applicable, duplicate, fixed_externally, other), which belong to a separate field this tool does not set. Use "fixed" when the problem was remediated and "dismissed" when it is accepted or not applicable. Setting status back to "open" is allowed but unusual — the product has no reopen button — so confirm the user really means to reopen the finding. OUTCOMES: either ok:true with the updated finding, or ok:false with a code — NOT_FOUND (no such finding in this tenant: do not retry, re-read the uuid), CONFLICT (an open finding already occupies that identity), INVALID (a rejected field, or no fields to change), PLAN_LIMIT (findings are not included in this tenant's plan — the request was fine, nothing is broken, nothing was written: say so and do not retry).
    ConnectorAPI key
  • Analisa o conjunto completo de consultas públicas **abertas** (matérias em tramitação) do e-Cidadania por grau de concordância cidadã, conforme `modo`: `consenso` → consultas com alta concentração de votos numa direção, ordenadas da maior para a menor concentração; usa `percentualMinimo` (padrão 85%). `polarizada` → consultas com votação equilibrada (~50/50), ordenadas da menor para a maior diferença sim/não; usa `margemPolarizacao` (padrão 15 pontos). Analisa por padrão consultas `aberta` (opinião pública atual). Quando a matéria sai de tramitação a consulta passa a `encerrada`, então `status: "encerrada"`/`"todas"` cobrem o conjunto que foi encerrado desde a ingestão (cresce com o tempo); fechadas antes da 1ª carga não são capturadas. Todos os modos aceitam `minimoVotos` (padrão 1000) e `limite` (padrão 10). Retorna `{ modo, criterio, count, consultas }`. É esta a ferramenta para 'consultas mais votadas', ranking ou panorama ATUAL da votação das consultas em tramitação — não confundir com `senado_ecidadania_consultas_votos`, que é o acervo HISTÓRICO (matérias já arquivadas) com quebra por UF. Para o detalhe de uma consulta use `senado_ecidadania_obter_consulta`.
    ConnectorNo auth