"A search for information about Vetctorcode or related content" matching MCP tools:

• microsoft_docs_fetchA

  Microsoft Learn MCPA

  Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.

  ConnectorNo auth

• awareness_search_knowledgeA

  Awareness — Memory, Knowledge & Agent MarketsA

  Search the PUBLIC Awareness knowledge graph — 1,000+ sourced scientific papers. Use this when the user (especially a researcher or a research agent) asks for peer-reviewed findings: "latest evidence on X", "highly-cited papers about Y", "what does the literature say about Z". This is NOT a memory tool — it does not read the user's private memory, and it needs no per-user API key, so it works even when Awareness memory is not configured (the MCP connection itself still needs its own token). Coverage: condensed-matter, quantum-information, materials, machine-learning, renewable-energy, chemistry, biology, medicine, neuroscience, computer-science (2022-2026, cited >= 50), plus a business supply/demand domain. What comes back (anonymous preview mode): title, snippet (preview), confidence, source_ref (DOI), citation_count, domain/topic, and a detail page URL. Full content is NOT in the preview — tell the user it is paid retrieval via POST /api/v1/public/retrieve with an API key (see https://awareness.market/en/knowledge for the KaaS product). Args: query: Natural-language research question or keywords (2-1000 chars). domain: "science" (default) or "business". topic: Optional sub-topic slug, e.g. "medicine", "condensed-matter", "supply-chain". Empty = search all topics in the domain. top_k: Max results, 1-20 (default 5; anonymous callers are capped at 3). include_graph: When true, also return same-topic related items. Returns: {"results": [{id, title, snippet, confidence, source_ref, citation_count, domain, topic, url}], "related": [...], "total": int, "mode": str} `mode` is "preview" (anonymous) or "full" (authenticated).

  ConnectorNo auth

• get_nursing_diagnosisA

  CarePlanKit — Nursing Care PlansA

  Get care plan material for a specific NANDA-style nursing diagnosis: its definition, related factors (the "related to" clause), defining characteristics (the "as evidenced by" clause), SMART goals, interventions, and the conditions where it is a priority. Use when a nursing student asks about a diagnosis rather than a disease, for example "risk for infection", "acute pain", "impaired gas exchange", "ineffective coping" or "risk for falls", or asks how to write a three-part diagnosis or an AEB statement. Educational reference, not medical advice.

  ConnectorNo auth

• rememberA

  ProductNowA

  Store one piece of information in ProductNow when the user says 'remember this', 'save this', or 'note that…' about their company, product, customers, or team. Pass the fact as `content`; ProductNow decides where it belongs — it searches the warehouse, edits the existing document that covers the topic, or creates a new one in the right folder. ProductNow handles search, folder selection, and document choice within the background job, so separate search, fetch, or placement is not needed. Returns success immediately; a success response means the job was queued and processing continues in the background. Polling is not supported. Use edit_document or create_document instead only when the user already named the exact document or outlined a whole new document.

  Connector

  Destructive

  API key

• submit_feedbackA

  ContinueOps Public MCPA

  Report that a public ContinueOps page or MCP tool response is incorrect, outdated, incomplete or confusing, so the team can fix it. Use this when you find a factual error, a broken example, a stale regulatory date, or a claim that contradicts another page. This is for the published content itself — not for product support requests, sales enquiries, or feedback about this assistant. Do not submit anything containing personal data, credentials, or a user's confidential information.

  ConnectorNo auth

• get_truss_informationA

  TrussA

  Published Truss information by topic. Localized topics (overview, about, services, engagement, fit, faq) use locale, default en; pass he for Hebrew. Language-independent topics (identity, certifications, testimonials, clients, contact) ignore locale for content selection. Prefer get_truss_overview or topic overview for broad business understanding; prefer list_truss_services for the complete service catalog.

  ConnectorNo auth

• search_site_gpt_docsA

  SiteGPT DocsA

  Search across the SiteGPT Docs knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about SiteGPT Docs, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. a result at `/some/page` is read with `head -200 /some/page.mdx`).

  ConnectorNo auth

• particle_podcast_list_relatedA

  particle-proA

  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. Only shows above a relatedness floor are listed, machine-generated and farmed feeds are never listed, and a publisher's duplicate feeds of one show appear once. An empty FIRST page is not an error: its `coverage` says whether the set is not computed yet, nothing cleared the floor, or the request's filters and the default policy removed everything; an empty page reached through a cursor is simply the end of the list. 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.

  ConnectorOAuth

• search_contentA

  Almirall MCPA

  Primary tool for answering natural-language questions over indexed website and landing-page content. Use this whenever the user asks what a brand, product, or site says about ingredients, plant extracts, composition, contraindications, usage, benefits, claims, FAQs, or evidence. This includes questions that only mention a brand or product name, for example 'What ingredients or plant extracts does Physio Relax mention?'. Call this tool directly with the question even if domain or sourceId are unknown; those fields are optional narrowing filters, not required inputs. If you need to discover or disambiguate the indexed domain or sourceId for a second narrowed call, use list_sources. Searches content with keyword, semantic, and vector search, and can filter by domain, url, sourceId, or documentId. If no search results are found, the tool returns only a no-results text message. Use that message as the entire user-facing answer, translating it to the user's language while preserving its meaning. The final answer must explicitly say that no sufficient information or indexed mention was found in Almirall's public content for the query, avoid confirming unsupported details, and suggest another question or Almirall's official channels. When this no-results message is returned, stop and do not add counts, bullet lists, related products, examples, search traces, or conclusions from auxiliary tool calls. Do not summarize, explain, or replace it with an unrelated response.

  ConnectorNo auth

• docs_search_mziziA

  mzizi-mcpA

  [docs.mzizi.dev] Search across the Mzizi knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about Mzizi, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. a result at `/some/page` is read with `head -200 /some/page.mdx`).

  ConnectorNo auth

• get-user-infoA

  fynk MCPA

  Get information about the current user. Use this tool when: - You need to know who the current user is (email, locale, roles) before tailoring a response For information about the current fynk account, use get-account-info

  ConnectorOAuth

• get-user-infoA

  fynk MCPA

  Get information about the current user. Use this tool when: - You need to know who the current user is (email, locale, roles) before tailoring a response For information about the current fynk account, use get-account-info

  ConnectorOAuth

• bgg-detailsA

  kkjdaniel-bgg-mcpA

  Get detailed information about board games on BoardGameGeek (BGG) including description, mechanics, categories, player count, playtime, complexity, and ratings. Use this tool to deep dive into games found via other tools (e.g. after getting collection results or search results that only return basic info). Use 'name' for a single game lookup by name, 'id' for a single game lookup by BGG ID, or 'ids' to fetch multiple games at once (up to 20). Only provide one of these parameters.

  ConnectorOAuth

• microsoft_docs_fetchA

  xpay✦ DevTools CollectionC

  Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.

  ConnectorNo auth

• search_n_topA

  docsA

  Search across the nTop knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about nTop, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. a result at `/some/page` is read with `head -200 /some/page.mdx`).

  ConnectorNo auth

• get_dealerA

  OpenDealer MCP ServerA

  Get comprehensive information about a specific dealership. Returns Google-enriched dealer knowledge optimized for assistants: • Name, address, phone, website • Google rating, review count, hours, business status • Inventory count and OpenDealer profile links • Contact points for sales / customer service Use this when a shopper asks "tell me about X dealership" or needs hours/ratings for a known dealer. Prefer a slug from dealers_near or search results. A display name binds only when it matches one rooftop. Shared names (two Jay Hatfield stores, or just "Honda") return candidate slugs instead of picking one. CRITICAL: Only use URL fields from the response (website, urls.*). NEVER invent or construct URLs.

  ConnectorNo auth

• get_athlete_fileA

  BlocksA

  Everything you know about this athlete, rendered as one document — the same content the athlete reads on their Profile page under "What I know about you". Kept for readers that want it in one piece; `list_facts` is the structured form and the one to use when you need ids, states or a single area. The `grade` block (sport / level / populations) is machine-read and scopes every knowledge-base search.

  ConnectorOAuth

• refresh_patent_familyA

  LightbringerA

  Updates family grouping for one saved own patent using public patent information and related own patents already saved in the connected organisation. Useful for an apparent missing relationship, an unfinished family update, or a requested check against newer public information. Imports already attempt family grouping automatically; routine refresh after import is unnecessary. Related publications must be imported separately before they can be included. Repeating import_patent only retrieves its saved outcome. Existing family relationships are retained, so refresh cannot remove incorrect relationships. Patent text, PDFs, images, legal status and own/competitor classification are unchanged. Competitor records are not supported. Returns counts of added and existing relationships, unresolved or ambiguous matches, and failures, with warnings. It does not return a list of family members. A null links result means the update did not finish; repeating the refresh attempts it again. Results do not establish complete family coverage. Where the organisation is charged in credits, a refresh costs a patent search and is refused once credits are spent.

  ConnectorOAuth

• knowledge_queryA

  DialogBrainB

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.

  ConnectorAPI key

• knowledge_queryA

  dialogbrainB

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.

  ConnectorAPI key

• knowledge_queryA

  dialogbrainB

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.

  ConnectorAPI key