"The term pHqghUme" matching MCP tools:

• smithsonian_browse_category

  smithsonian-mcp-server

  Browse Smithsonian objects within one exact category — a single museum (mode "museum"), culture, indexed date term (mode "period"), object type (mode "medium"), or subject term (mode "topic"). The value must be an exact indexed category term, not free text: resolve museum, culture, period, and topic vocabulary with smithsonian_list_terms first (object_type is not enumerable there — harvest it from smithsonian_search_objects results, and treat each casing as its own category, since a harvested object_type covers only the casing it was written in). Returns the category total count, a page of matching objects, and a museum breakdown of that page; page the full category with start and rows. For open-ended or topic discovery, start with smithsonian_search_objects instead.

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• get_asma_ul_husna

  Wasilah

  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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• get_vehicle_details

  FINN Auto - Car Subscription

  Get full specifications, equipment, all images, and pricing per term for a specific vehicle. Use a vehicle_id from search_vehicles results. IMPORTANT: Always show `detail_url` as a clickable link — it points to the FINN configurator where the user picks term and km. To produce a direct checkout link for a specific term + km combination (and optionally a one-time Fahrzeugbereitstellung), call `get_subscription_pricing` and use the `checkout_url` it returns. Never construct checkout URLs yourself. The `vehicle_id` field is an internal API identifier — never display it to users.

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• keyword_list

  Prowlo — Reddit & X for AI agents

  [DEPRECATED — renamed tag_rule_list. Will be removed after 2026-10-07.] List your org's TAGGING RULES (the dashboard's 'Tagging rules') — labels applied to posts your Watchers already ingest. NOT the dashboard's Keyword Monitor: for the keywords that search all of Reddit daily, use keyword_monitor_list. Each rule tags matching Dataset records whose title or body mentions its term as a whole word. Returns the term, active status, and match statistics. Changes take effect on the next scheduled processing cycle. Existing opportunity scores and matches are not retroactively updated. (requires a free Prowlo account — call it to get a signup link)

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• tag_rule_list

  Prowlo — Reddit & X for AI agents

  List your org's TAGGING RULES (the dashboard's 'Tagging rules') — labels applied to posts your Watchers already ingest. NOT the dashboard's Keyword Monitor: for the keywords that search all of Reddit daily, use keyword_monitor_list. Each rule tags matching Dataset records whose title or body mentions its term as a whole word. Returns the term, active status, and match statistics. Changes take effect on the next scheduled processing cycle. Existing opportunity scores and matches are not retroactively updated. (requires a free Prowlo account — call it to get a signup link)

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• tag_rule_update

  Prowlo — Reddit & X for AI agents

  Update a TAGGING RULE (dashboard: 'Tagging rules') — not a Keyword Monitor entry (those are Watchers; see watcher_update). Rename its term (pass `keyword`), set what it refers to (pass `description`), and/or pause/resume it (pass `active`). Renaming keeps already-tagged records on the old tag; new matches use the new term. Changes take effect on the next scheduled processing cycle. Existing opportunity scores and matches are not retroactively updated. (requires a free Prowlo account — call it to get a signup link)

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• string_proteins_for_term

  STRING Database MCP Server

  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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• keyword_update

  Prowlo — Reddit & X for AI agents

  [DEPRECATED — renamed tag_rule_update. Will be removed after 2026-10-07.] Update a TAGGING RULE (dashboard: 'Tagging rules') — not a Keyword Monitor entry (those are Watchers; see watcher_update). Rename its term (pass `keyword`), set what it refers to (pass `description`), and/or pause/resume it (pass `active`). Renaming keeps already-tagged records on the old tag; new matches use the new term. Changes take effect on the next scheduled processing cycle. Existing opportunity scores and matches are not retroactively updated. (requires a free Prowlo account — call it to get a signup link)

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• search_products

  SendaMeal Storefront

  Search products by a term Arguments: term - the search term to look for products. It should be at least 3 characters long. cursor - optional, used for pagination. If provided, it will return the next page of results after. Pagination: Supports pagination with 'cursor' arguments. If 'cursor' is not provided, it will return the first page of results. Value for 'cursor' can be obtained from the 'nextCursor' field in the response. If 'nextCursor' is null, it means there are no more results to fetch. If value of cursor is null (or a string representation of 'null') dont send it in the payload. Results: Each product includes 'requiresFileUpload'. When true, the product has a required file-upload option (e.g. "upload your design") and shouldn't be added to cart through this assistant. Do not attempt to purchase it — tell the user it must be ordered on the website. Flow: - Call this tool with a 'term' argument and optionally with 'cursor' to search for products. - if you find a matching product, call 'get_product_details' with the product ID to get its variants and options (if any). - if 'requiresFileUpload' is true, inform the user the product needs a file upload and cannot be purchased here. - Call 'add_item_to_cart' with results of 'search_products' and 'get_product_details' (variant) tools to add the product to the cart. - [IMPORTANT] If product has variants ask user to pick

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• smithsonian_search_objects

  smithsonian-mcp-server

  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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• openfda_count_values

  openfda-mcp-server

  Aggregate and tally unique values for any field across any openFDA endpoint. Returns ranked term-count pairs sorted by count descending. Pair with openfda_search_adverse_events, openfda_search_drug_approvals, openfda_search_device_clearances, openfda_search_recalls, openfda_get_drug_label, or openfda_lookup_ndc when sample records help interpret the aggregates.

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• fear_greed

  whale-insights

  Get the Crypto Fear & Greed index — composite 0-100 score, label, 7-factor breakdown, recent history (use fear_greed_monthly for long-term trends) — 7-factor crypto Fear & Greed sentiment index with the current score, label, contributing factors, and recent history. Cached ~5min.

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• search_keyword

  OpenArx

  Pure keyword (BM25) search — fastest option, optimal for exact-term lookups: paper titles, author names, method names (e.g. "LoRA", "RLHF"), arXiv IDs. Does NOT use semantic vectors. Use this when you know the specific term you're looking for. For paraphrased or conceptual queries, prefer "search_semantic" or "search".

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• search_terminology

  NewTqnia MCP – Technology News & Research

  Searches terminology by English term, Arabic term, abbreviation, or slug using normalized, case-insensitive matching. Administrators see draft and published terms with both languages, and should call this before creating a new term to avoid duplicates. Other accounts see published terms only, in a single locale (pass the caller's language in locale), each with a canonical URL to the full definition.

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• get_vendor_risk_signal

  Stratalize Intelligence

  Use when screening a vendor for financial instability or procurement risk before a long-term contract commitment. Returns a risk score from 0 to 1 with risk indicators and negative mention evidence. Example: Vendor X scores 0.72 risk — indicators: customer churn citations, pricing disputes, product roadmap uncertainty — HIGH risk classification, recommend short-term contract only. Source: Stratalize citation risk composite.

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• ics2_check

  FreightUtils MCP Server

  Check a goods description against the official EU ICS2 stop-words list — terms the European Commission deems too vague or generic for an entry summary declaration (ENS) goods-description field (data element 18 05 000 000). Pass description=<goods description>. Behavior: deterministic term matching against the in-force EU list; each flagged term carries a note (a standalone stop-word means automatic rejection, an embedded one means make the description more specific); clean=true means no listed term matched — it does NOT guarantee acceptance, and no binary accepted/rejected verdict is given. Rate-limited (anonymous use: 25 requests/day per IP): a 429 error body carries retry_after_seconds and a Retry-After header — back off and retry, or call get_subscribe_link for higher limits. Returns: the description echo, flagged[] (term + note), clean, caveat and disclaimer under result, plus a _source citing the EU list and legal basis, plus confidence, _source and citation (the FreightUtils v1 response envelope). Limitations: STRICTLY a reference check — not an ENS filing, not a customs-compliance determination, not legal advice; the EU list is non-exhaustive and updated periodically. Related: hs_code_lookup (commodity codes — a different field of the ENS), uk_duty_calculator (duty/VAT, unrelated to ENS screening). Use BEFORE filing an ENS — for customs/documentation teams, brokers and agents building filing pipelines.

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• store_memory

  haus

  Store a long-term memory about the household. Use sparingly for durable preferences, routines, constraints, or insights worth recalling in a future conversation. Recall first to avoid duplicates.

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• get_contribution

  Warmth Engine Observatory

  Look up WEO Contribution Architecture vocabulary — the contributor programme's terms, credit classes, and governance provisions (e.g. "Delta Credit", "Founding Observer", "Observer Network", "rate card", "malinformation"). Returns the term's context, its section anchor, and a deep link into the self-hosted CA edition. Omit `term` for programme status: phase, activation criterion, current corpus size, and enquiry address. Use to resolve participation vocabulary — the Contribution Architecture governs participation, whilst the Methodology Manual (`get_methodology`) governs what qualifies. Matching is exact-first, then substring; an unknown term returns a sample of available terms. Served in full on both tiers.

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• eia_search_routes

  eia-energy-mcp-server

  Fuzzy text search across route names, descriptions, and category labels. Resolves natural-language queries like "electricity retail sales by state" or "natural gas imports" to matching route paths. Multi-term queries are also matched term by term, so combining a commodity, a metric, and a sector — "electricity price residential", "coal generation industrial sector" — reaches the route carrying that data even when no single entry reads like the whole phrase. STEO series names are indexed so queries like "ethanol net imports" or "crude oil production forecast" also resolve, and so are facet values, so a fuel type or sector term like "wind" or "anthracite coal" resolves to the route that exposes it, with filter_hint carrying the filter to pass on. Results include isLeaf so you know whether to browse further or query directly. Results with score > 0.72 are weak matches — try a more specific query or use eia_browse_routes to explore the taxonomy. The first call after server start waits 24-30s while the index warms, and at most 45s; every later call returns in milliseconds. Check indexComplete before reading anything into a short or empty result set.

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• fda_faers_signal_summary

  Openfda

  Calculate report-level FAERS disproportionality routing metrics for one drug/reaction pair using a 2×2 reporting table. The reaction argument matches one whole MedDRA preferred term, so a broad word like "neuropathy" counts only reports filed under that exact term and not the specific terms containing it. Natural multi-word phrasing is resolved to MedDRA word order and disclosed; a term matching nothing is reported as unresolved rather than as zero reports. ROR/PRR are screening statistics—not incidence, causality, comparative drug safety, or an FDA safety conclusion.

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