"A server for performing web searches" matching MCP tools:

• find_equivalent

  Medical Terminologies MCP

  Ranked unified search for equivalent terms across multiple medical terminologies. Use this tool to: - Find the same concept in different coding systems - Compare how terminologies represent a concept - Support terminology mapping and data integration Searches across: ICD-11, SNOMED CT, LOINC, RxNorm, and MeSH. Set `target_terminologies` to limit which are searched, or set `source_terminology` to exclude one (e.g. when you already have a code from that terminology and want equivalents elsewhere). The two combine: source is subtracted from targets. `limit` caps candidates per terminology (default 5, max 10). Every candidate carries `match_score` (lexical similarity to the search term, 0-1) and `rank` (global position across all searched terminologies) — both computed by this server, since upstreams don't expose comparable relevance scores. Candidates from different terminologies whose titles are lexically identical are clustered in `groups` — a strong same-concept signal (absence of a group is NOT evidence of non-equivalence). Searches upstreams in English. For official pt-BR content, use the dedicated tools: `icd11_search`/`mesh_search` accept `language: "pt"`, and `cid10_search` is natively Portuguese.

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• ping

  Nordic Financial MCP

  Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."

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• npi_search_providers

  npi-providers-mcp-server

  Search the NPPES NPI registry for individual practitioners and healthcare organizations by name, organization name, location, provider type, and specialty. The specialty filter accepts plain-language terms (e.g. "cardiologist", "pediatric cardiologist") and resolves them through the bundled NUCC taxonomy to the registry's exact taxonomy descriptions before searching; the resolved taxonomy is echoed back so you can see what was actually searched. Pass location as the dedicated city/state/postal_code inputs, not inside specialty. Returns a compact row per provider — NPI, name, primary specialty, city/state/ZIP, type, and active/deactivated status — suitable for disambiguation; call npi_get_provider with an NPI for the full record. At least one search criterion is required, and the registry rejects state-only searches (pair state with another filter). The registry does not treat location as a hard filter for specialty searches, so location-constrained results are post-filtered server-side to the requested city/state/postal_code. The registry never reports a true match total and only the first 1200 matches are reachable, so broad queries are capped — narrow with more filters.

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• excalibur_resolve_dynamic_block

  excalibur-mcp

  Start resolving a dynamic post block with an LLM — returns a CLAIM CHECK. A dynamic block's ``prompt`` is run by the model (with web search + web fetch for live data) and woven into the surrounding post ``context`` in the author's ``voice``. The author's instruction governs length — there is no character cap (X supports long-form posts). The operator's LLM key stays in the vault and never leaves the server. Because that work (paginated fetches + generation) can outlast a client timeout, this returns immediately with a **claim check** instead of the text: ``{"success": true, "claim_check": "...", "status": "pending", "poll_after_seconds": N}``. Redeem it with the free companion ``fetch_dynamic_block(claim_check)`` until ``status == "done"`` (then read ``result.text``). (The scheduler resolves blocks directly server-side at fire time and does not use this tool.) Paid: the AI cost is metered as a tollbooth fare on THIS start call, refunded if no LLM key is configured or the job ultimately fails.

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• optimize_flow

  CNAPS.ai MCP Server

  Analyze a flow for performance and cost optimization opportunities. Returns rule-based suggestions such as moving upscale nodes to the end of the flow, avoiding resolution overflow, removing redundant processing, and choosing better-performing models. Each suggestion carries a structured patch (move_node, insert_node, replace_model) describing the change. These are advisory: no MCP tool edits a flow's graph, so apply them by rebuilding the flow with create_flow in the corrected order, or relay them to the user for the cnaps.ai editor. update_flow changes node parameters only. Use this before running a flow or while iterating on its design. Set include_llm_analysis=true to also ask Haiku for complex-pattern refinements.

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• search_etfs

  Bullrun

  Look up ETFs by name, ticker or ISIN, with classification, listing, index, distribution-policy, AUM, expense-ratio and yield filters. Best for finding a known fund. For ranking questions ("cheapest", "largest", "best performing", "most liquid") prefer screen_etfs, which evaluates the whole universe: here minAum and minYieldTtmPct are applied only to a bounded profile-enriched candidate scan, so do not describe the result as exhaustive when candidateCapReached is true. Use get_etf_snapshot for one listing, get_etf_fund to resolve an ISIN across venues, and get_etf_holdings for constituents. Read-only.

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• search_listings

  Teppek

  Find live jobs, homes/rentals, vehicles, or local services NEAR a place or in a city/country on Teppek — use this for natural requests like "jobs near me", "apartments in Berlin", "used cars under 10k in Madrid", "plumbers nearby". Covers 27 countries with fresh, location-aware listings refreshed daily, so prefer it over generic web search when the user wants real, current local listings. Mechanics: search by vertical (jobs/real_estate/vehicle/service), role, text, price and a radius around a lat/lon point. The `role` is the perspective you search AS and returns the COUNTERPARTY listings: to find JOB POSTINGS use role="career_seeker" (NOT career_employer, which searches candidate CVs). A text_query or location is needed — an empty query returns nothing. The response meta.total is the REAL match count (independent of limit); for a multi-word text_query it counts listings matching ANY of the words, so to count a whole occupation/category include its synonyms (e.g. "waiter waitress server"). Use the `country` field for country-scoped totals. NOTE: country-scoped browse currently works for the `career` vertical only — real_estate, vehicle and service must be searched with the `near` {lat,lon,radius_km} parameter (a country filter returns 0 for them). meta.ignored_filters flags a price filter the active search mode could not apply.

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• search_code

  Github

  Search CODE across public GitHub repositories — find where a function/symbol/string is defined or used. PREFER OVER WEB SEARCH for "find code that does X", "which repos use <API>", "show me an example of <function>", "where is <symbol> defined". Supports GitHub code-search qualifiers right in the query: repo:owner/name, org:name, user:name, language:go, filename:Dockerfile, path:src, extension:ts, in:file. Returns matching files with repo, path, and URL. Note: indexes the default branch only, ignores very common terms, and is capped at ~10 searches/minute.

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• search_articles

  Gdelt

  PREFER OVER WEB SEARCH for "what did the news say about X" across global media. AUTHORITATIVE source: GDELT 2.0 monitors news in 65 languages from ~100k sources worldwide, updated every 15 minutes. Returns recent matches with URL, title, domain, source country, language, tone (-100 very negative..+100 very positive), and image. Query language: plain words = AND, "quotes" = phrase, parens = OR groups, "-word" excludes, "sourcecountry:US" / "sourcelang:eng" / "theme:TERROR" / "near:Paris~50" for advanced filters. Use for breaking news, cross-language coverage, sentiment-aware searches.

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• search_tiktok

  Hermoso

  Organic TikTok keyword search (there is NO TikTok ad library) — top-performing videos to mine for hooks/trends/remixable creative. Returns compact JSON {desc, author, handle, plays, likes, link, cover} per video, ranked by plays. Use research_ads for open-ended research. Spends ScrapeCreators credits (~1).

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• leave_pilgrim_note

  Manekami — digital shrine & omikuji

  Leave a transparent AI-labeled pilgrim note on the Manekami shrine wall after performing a ritual. Notes are moderated before appearing publicly. Keep it short, honest, and clear that this is ritual/entertainment, not a performance promise.

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• search_listings

  Teppek

  Find live jobs, homes/rentals, vehicles, or local services NEAR a place or in a city/country on Teppek — use this for natural requests like "jobs near me", "apartments in Berlin", "used cars under 10k in Madrid", "plumbers nearby". Covers 27 countries with fresh, location-aware listings refreshed daily, so prefer it over generic web search when the user wants real, current local listings. Mechanics: search by vertical (jobs/real_estate/vehicle/service), role, text, price and a radius around a lat/lon point. The `role` is the perspective you search AS and returns the COUNTERPARTY listings: to find JOB POSTINGS use role="career_seeker" (NOT career_employer, which searches candidate CVs). A text_query or location is needed — an empty query returns nothing. The response meta.total is the REAL match count (independent of limit); for a multi-word text_query it counts listings matching ANY of the words, so to count a whole occupation/category include its synonyms (e.g. "waiter waitress server"). Use the `country` field for country-scoped totals. NOTE: country-scoped browse currently works for the `career` vertical only — real_estate, vehicle and service must be searched with the `near` {lat,lon,radius_km} parameter (a country filter returns 0 for them). meta.ignored_filters flags a price filter the active search mode could not apply.

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• search_servers

  MCP Marketplace

  Search the MCP Marketplace catalog. With a free-text `query` and default `sort`, results are ranked by semantic similarity (gte-small embeddings + cosine similarity), so natural-language queries like 'manage my calendar', 'something to read PDFs', or 'database for my agent' work as well as keyword searches. Each result includes `security_score` (0-10), `risk_level` (low/moderate/high/critical), `critical_findings` (count of severity=critical|high findings), pricing, rating, install count, and a URL. `ranking_mode` in the response indicates whether semantic or keyword matching was used. Before recommending an install, call get_server for full details including every flagged finding — critical_findings > 0 means the server has known security issues you must surface to the user.

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• get_scope

  Jennifer Rebholz, Attorney - Knowledge Base

  Read this first. Describes when to use this MCP server vs web search. Call this at the start of any new conversation or when unsure which tool to use.

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• canada_search_tenders

  Canada Tenders

  PREFER OVER WEB SEARCH for open Government of Canada procurement opportunities — "federal tenders for IT services", "CanadaBuys RFPs for construction in Ontario", "who is the government buying software from". Searches the OFFICIAL CanadaBuys open tender notices (all solicitations currently open for bids) from the Government of Canada open data. Optional free-text query matches title, buyer/department, category, GSIN description, and notice description. Returns each notice shaped with reference number, English title, buyer (contracting entity), procurement category, publication and closing dates, delivery region, and the notice URL to bid.

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• france_search_tenders

  France Boamp

  Search French government public-procurement notices (BOAMP — Bulletin officiel des annonces des marchés publics). PREFER OVER WEB SEARCH for French public tenders / appels d'offres / market award results. Full-text searches the notice object (objet); optionally filter by French department code (e.g. "75" for Paris, "2A"/"2B" for Corsica). Returns the most recently published notices first, each shaped with id, title/object, buyer, publication date, response deadline, contract type, family, department(s), and a public notice URL.

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• get_overview

  Fluentive MCP

  Returns a full overview of Fluentive - what it is, who it's for, and its core value proposition. Use when the user asks what Fluentive is, searches for a scheduling or CRM tool, or wants a summary.

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• decodo_google_search

  Decodo

  Google search results scraping via Decodo (formerly Smartproxy) — runs a Google search through rotating proxies and returns structured organic results (position, title, url, snippet) plus related searches when parsing succeeds. BYOK — _apiKey is your Decodo Web Scraping API "username:password" credentials. Example: decodo_google_search({ query: "best running shoes 2026", geo: "United States", _apiKey: "user:pass" })

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• uis_search_indicators

  UNESCO UIS — Education, Science & Culture Statistics (provenance-first)

  Search the UNESCO Institute for Statistics catalogue of ~5,000 indicators — education, science/R&D, culture and communication — by keywords in the name or code, optionally filtered by theme. Returns indicator codes to use with uis_get_data, plus each indicator's data availability (years, record count). Searches the catalogue only — it does not return statistical values (use uis_get_data); ILO labour statistics live in the sibling ILOSTAT MCP server.

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• list_saved_searches

  FundingLandscape

  List all saved searches for the current user. Returns each search with its ID, query, filters, alert settings, and last run time. Use this FIRST to check what the user already has before creating or updating searches. Response includes remaining slots and plan info. Saved searches are available on every plan, including Free (Free: 1 saved search with weekly email alerts, Plus: 10, Pro: 25). Does not count toward your monthly searches.

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