"General search assistance for the term 'Give'" matching MCP tools:

• search_nodesA

  Diagrams MCPA

  Search for diagram nodes by keyword across all providers and services. For targeted browsing when you know the provider, use list_providers -> list_services -> list_nodes instead. Args: query: Search term (case-insensitive substring match). Returns: List of matching nodes with keys: node, provider, service, import, alias_of (optional). Sorted by relevance: exact match first, then prefix, then substring.

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• get_asma_ul_husnaA

  WasilahA

  Look up the 99 Names of Allah (Asma ul Husna). Returns Arabic, transliteration, English and Bengali. Give a number for one name, a search term to match by meaning or transliteration, or neither to get all 99.

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• string_proteins_for_termA

  STRING Database MCP ServerA

  Retrieve proteins annotated with a functional term or descriptive text in a single species. You can query for tissues, compartments, diseases, processes, pathways, and domains. IMPORTANT: For cross-species comparisons, run this tool separately for each species. Select relevant model organisms to search or ask user to provide the selection. The results reflect annotation depth within each category; use caution when interpreting. If no results are found, try simplifying the query. For tissue queries, follow BRENDA tissue nomenclature and omit the word "tissue" (e.g. use "skin" instead of "skin tissue"). Output fields: - category: Source database of the matched functional term (e.g. GO, KEGG, Reactome, Pfam, InterPro). - term: Exact identifier for the functional term. - description: The free text description of the term. - proteinCount: Number of proteins annotated with that term - preferredNames: Full protein-name list when `detail_for_term` is set - stringIds: STRING protein identifiers when returned - preferredNames_omitted: True when a row omits the protein-name list - stringIds_omitted: True when STRING identifiers are omitted

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• search_webA

  LinkedIn MCP Server (Salesbot)A

  General-purpose Google search — returns organic results for any query. Unlike search_google_xray (LinkedIn-only), this searches the entire web. Useful for finding job postings on portals (jobs.cz, prace.cz, profesia.sk, indeed.com), company info, news, or any other web content. Results are NOT saved to contacts — use this for research and discovery. Capped at 4 calls per minute to protect the Serper/Google budget.

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• get_guideA

  Tu LugarA

  Curated TuLugar guides (general education, kept current): buying-process (step-by-step + documents), foreigners (rights + restrictions for non-Paraguayans), closing-costs (what fees exist), renting (contracts, deposits, garante), publishing (listing tips), airbnb (short-term rental basics). ALWAYS use this for "how does buying/renting work" / process / documents questions — the content IS in scope to share; only personalized legal advice is not.

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• get_guideA

  Tu LugarA

  Curated TuLugar guides (general education, kept current): buying-process (step-by-step + documents), foreigners (rights + restrictions for non-Paraguayans), closing-costs (what fees exist), renting (contracts, deposits, garante), publishing (listing tips), airbnb (short-term rental basics). ALWAYS use this for "how does buying/renting work" / process / documents questions — the content IS in scope to share; only personalized legal advice is not.

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• smithsonian_search_objectsA

  smithsonian-mcp-serverA

  Recommended first step for open-ended or topic discovery: free-text search across 14.5 million Smithsonian objects, with optional exact filters. Filters narrow by museum unit, object type, indexed date term, culture, geographic place, subject topic, named party, and online/CC0 availability. Returns curated summaries (title, date, museum, thumbnail URL, CC0 flag) with the total match count. The record_id in each result is the identifier for smithsonian_get_object, smithsonian_find_related, and smithsonian_get_media. To browse one exact category — a single museum, culture, date term, object type, or topic — use smithsonian_browse_category instead.

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• submit_support_requestA

  Skala — Legal Platform for StartupsA

  Submit a support request to the Skala team on behalf of the user. Call this when the user needs human assistance that AI cannot provide, the question is too complex or high-risk, or the user explicitly asks for human support. IMPORTANT: Always confirm with the user before calling — describe what you will submit and ask for their approval. Before calling, compile the issue from conversation context into the description.

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• get_faqA

  CalmActivaA

  Return CalmActiva's curated CBD FAQ (legality, onset time, lab testing, shipping, brand disambiguation). Use for general CBD/brand questions before falling back to web search.

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• sam_search_exclusionsA

  SamgovA

  Search the SAM.gov Exclusions list — parties DEBARRED, suspended, or otherwise excluded from receiving federal contracts, grants, or assistance. Answers "is this company/person barred from federal contracting" for KYB / vendor-vetting / procurement due diligence. Filter by name, US state, and classification (Firm / Individual / Vessel / Special Entity). Returns each excluded party with the exclusion type, program, excluding agency, and active/termination dates. Distinct from OFAC sanctions (see sanctions_screen) — this is the federal procurement debarment list.

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• seo_keyword_google_ads_volumeA

  Seo Keywords AdsA

  Exact Google Ads search volume for `<keyword>` — Google's own monthly search-volume numbers (plus competition and CPC) from the Ads API, for up to 10 keywords. Use when you specifically need Google Ads figures; for general SEO volume + keyword difficulty, prefer seo_keyword_overview (cheaper). Example: seo_keyword_google_ads_volume({ keywords: ["running shoes"], location_code: 2840, _apiKey: "your-base64-key" })

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• document.parse_invoiceA

  DocImprintA

  Parse a receipt or invoice document into structured fields. Uses a quality AI model for accuracy. Use when you need to extract line items, totals, and merchant info from financial documents. For general document text, use document.extract_text instead. Returns: { invoice: { merchant, date (YYYY-MM-DD), line_items[], subtotal, tax, total }, cited: { <field>: { value, confidence: "high"|"medium"|"low", citations: [{ quote, paragraphs[] }] } } } Example prompts: - "Parse this invoice and give me the line items and total." - "Extract the merchant, date, and amounts from this receipt." - "Read this scanned invoice and return structured data."

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• document.parse_invoiceA

  apiA

  Parse a receipt or invoice document into structured fields. Uses a quality AI model for accuracy. Use when you need to extract line items, totals, and merchant info from financial documents. For general document text, use document.extract_text instead. Returns: { invoice: { merchant, date (YYYY-MM-DD), line_items[], subtotal, tax, total }, cited: { <field>: { value, confidence: "high"|"medium"|"low", citations: [{ quote, paragraphs[] }] } } } Example prompts: - "Parse this invoice and give me the line items and total." - "Extract the merchant, date, and amounts from this receipt." - "Read this scanned invoice and return structured data."

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• request_humanA

  Eveoy — Verified In-Store Foot Traffic ($24.99/customer)A

  Hand off to a human on the Eveoy team and flag the conversation for follow-up. Use this when the user wants to: - Talk to a person or a sales rep (not just book a demo slot) - Get help the other tools cannot give - Escalate a question or ask for a callback Trigger phrases: "talk to a human", "connect me with someone", "I need a person", "have someone call me", "escalate this". Returns: { ok, note } — confirmation the Eveoy team was notified. Do NOT use this for: booking a demo slot (use book_demo), pricing (use get_pricing), or general questions (use ask_eveoy). Cost: free. Latency: under 1s. Notifies the Eveoy team (high-intent).

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• search_keywordA

  AsoTheoryA

  Live one-off research for a search term: difficulty, traffic and effectiveness against whichever apps currently hold the top results. No history is saved -- use this to compare candidate terms before deciding what to track.

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• out_of_pocket_optimizerA

  mcpB

  [Taxonomy X.174 — baseline response (public data only)] Optimize out-of-pocket spend across a sequence of planned services. WHEN TO USE: User is planning for a medical expense, comparing plan options, looking for financial assistance, or trying to structure a payment plan. WHEN NOT: For billing-error analysis (scan_bill_for_errors) or appeal drafting (generate_appeal_letter).

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• get_disaster_declarationsA

  FEMA DisastersA

  Get FEMA disaster declarations filtered by state, year, or type. Returns federal disaster declarations including major disasters, emergencies, and fire management assistance. Each record includes the disaster number, title, declaration date, and affected area. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX', 'FL'). year: Filter by fiscal year of the declaration (e.g. 2023). disaster_type: Declaration type code: 'DR' (major disaster), 'EM' (emergency), or 'FM' (fire management assistance). limit: Maximum number of records to return (default 25, max 1000).

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• search_measuresA

  CDC PLACES Health DataA

  Search available CDC PLACES measures by name or category. Returns matching measure IDs, names, and categories. Use this to find the correct measure_id for other tools. Categories: Health Outcomes, Health Behaviors, Prevention, Health Status. Args: keyword: Search term (e.g. 'diabetes', 'smoking', 'prevention', 'heart').

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• amzscout_get_keywordsA

  AMZScout Skill + MCPA

  Amazon keyword / SEO / PPC data for either a single product (ASIN-scope — terms the product ranks for) or a niche/category (keyword-scope — search data around the term). Every keyword row carries search volume, average sales, CPC and trend; ASIN-scope rows ALSO carry this product's own placement for that term — organic rank + page, sponsored page, and relevance score (rows the product does not rank for are marked "not ranking"). Pure data fetch (no AI analysis). How to use: pick high-volume / low-competition terms for SEO and PPC targeting, use CPC as ad-cost pressure, sum search volumes to gauge niche demand, and for ASIN-scope check organic vs sponsored ranks to spot listing-optimization gaps. OUTPUT CONTRACT (mandatory): if the result begins with an "Account notice:" paragraph, your reply MUST begin with that exact paragraph copied verbatim — including the [View Plans](url) markdown link — before any analysis. If the result is ONLY that paragraph, it is your entire reply. Never omit, shorten, or paraphrase it.

  ConnectorAPI key

• search_defined_termsA

  Payments Law EUA

  Use this to find which EU instruments define a legal term, such as payment transaction or payment account, and where their definitions differ. For definition wording use get_defined_term. A listing: term, definers and divergence flags, with no definition text. Matching is over the term itself, never the definition body. Divergence is judged on the RESOLVED text as well as the verbatim one, because several instruments defining a term by pointing at the same root agree, however differently their pointers read. Pass only_divergent to find where the corpus does not agree with itself.

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• search_activitiesA

  Bundestag DeA

  Bundestag/Bundesrat parliamentary activities filtered by GND subject descriptor (e.g. "Klimaschutz", "Mindestlohn") + optional ministry/date. Topic matching uses DIP subject descriptors (controlled German vocabulary) — pass a precise German subject term. For full document search use search_drucksachen instead.

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