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649,985 tools. Updated 2026-10-11 01:37

"A search for Yandex, the Russian multinational technology company" matching MCP tools:

  • Full-text search across all SEC EDGAR filings since 2001 for a keyword or phrase. Wraps EDGAR's own full-text search index, so it covers every filer and form type, not just a single company. Useful for finding who is disclosing a particular risk, technology, litigation, or event across the entire market. When to use: cross-company research ("who is disclosing AI-related risk factors"), finding filings that mention a specific term, litigation or regulatory tracking. When NOT to use: you already know the company (use edgar_filings_feed, which is company-scoped and cheaper), or you need results from before 2001 (EDGAR full-text search does not cover that far back). Args: - query (string, required): search text. Wrap an exact phrase in double quotes, e.g. "\"material weakness\"". - forms (string[], optional): restrict to form types, e.g. ["10-K"]. - dateFrom (string, optional): ISO start date (YYYY-MM-DD). - dateTo (string, optional): ISO end date (YYYY-MM-DD). - limit (integer, optional, default 10): maximum hits to return (1-50). Returns structuredContent: { "query": "material weakness", "totalMatches": 10000, "totalIsApproximate": true, "count": 2, "hits": [ { "id": "0001193125-26-123456:doc.htm", "entity": "Example Corp.", "form": "10-K", "filedAt": "2026-03-01", "cik": "0000320193" } ], "source": "https://www.sec.gov/edgar" } "totalMatches" is a lower bound and "totalIsApproximate" is true once EDGAR's own count exceeds its display cap (10,000) — narrow with forms/dateFrom/dateTo for a precise count.
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  • Search Trend News Agency's archive by keyword and get matching headlines ranked by relevance, with date, section, byline and canonical URL. The archive runs back to 2003 and holds over 2.6 million articles across the English, Azerbaijani and Russian editions. Wrap words in double quotes for an exact phrase — "Trans Anatolian Pipeline" is far narrower than the same three words loose. Returns metadata only; use trendaz_research when you want the text of what was reported, or trendaz_article_get for one article.
    ConnectorNo auth
  • Use this when the user asks which companies use a particular technology (for example Intercom, Zendesk, HubSpot, Shopify, Stripe), or which technologies are most used. With a slug: companies detected using that technology, 20 per page. company_count is every company detected using it; listed_count is how many the list can page through, so stop at page ceil(listed_count / 20). Without a slug: the technology index, most-used first, with company counts (default 100, up to 1,000). Slugs are lower-case with hyphens, e.g. intercom, hubspot, google-analytics, shopify. Works without an API key; no contact reveals.
    ConnectorNo auth
  • Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".
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  • Fetch Level 2 corporate hierarchy for an LEI: direct parent, ultimate parent, and direct children. Use to map ownership trees across multinational groups. Accepts a company NAME as well as an LEI.
    ConnectorNo auth

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    Enables AI assistants to perform real-time web searches and retrieve AI-generated answers using the Yandex Search API. It provides tools for accessing up-to-date internet information with support for both raw search results and summarized content via the Yazeka model.
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Matching MCP Connectors

  • Yandex search results, images, and SERP data via the Apify Yandex Search Scraper, hosted MCP.

  • Verify a company on GLEIF LEI and SEC EDGAR, screen sanctions. No key; quota-free data.

  • Get a snapshot of the quantum computing landscape — no parameters needed. Use when the user asks broad questions like "how's the quantum job market?", "what are trending topics?", or wants an overview of the quantum computing industry. Returns: total active jobs, top hiring companies, jobs by role type, papers published this week, total researchers tracked, and trending technology tags. For specific job/paper/researcher searches, use the dedicated search tools instead.
    ConnectorNo auth
  • Inspect a public company domain and return structured identity, technology, social, contact, DNS, email-infrastructure, and AI-readiness evidence. Use `schemaforge` instead for a paste-ready JSON-LD template and remediation diff, or `deep_audit` when both outputs are required together. Public data only; this tool makes no site changes.
    ConnectorNo auth
  • Run one read-only AI-search-readiness audit for a public business domain: company, technology, contact, and DNS/email evidence from `enrich`, plus the live structured-data gap analysis and paste-ready JSON-LD template from `schemaforge`. Use `enrich` for company facts only or `schemaforge` for structured-data remediation only. The template contains placeholders for real data; the score is diagnostic, no site changes are made, and it does not guarantee AI citations.
    ConnectorNo auth
  • Default tool for finding people on LinkedIn from criteria (company, role, department). With a ready search URL use search_linkedin_navigator; for one known profile URL use upsert_linkedin_contact. Search LinkedIn people. RECOMMENDED FOR PROSPECTING: set decisionMakers:true, provide company, departments and limit 20-30. Salesbot resolves the company, performs ONE company-scoped provider search (Sales Navigator also applies seniority), then ranks the returned senior employees locally by department. This is broader and safer than retrying exact titles. Use title/titles only when an exact role is required. EXISTING CONNECTIONS reads only the local cache and consumes zero search quota. The workspace setting selects Standard/Classic or Sales Navigator automatically. Respect retry_after; never immediately retry a protected or timed-out request. On LINKEDIN_PROVIDER_TIMEOUT use search_google_xray, then retry LinkedIn only after the stated delay.
    ConnectorAPI key
  • Enrich one company by domain. `domain` is the only parameter and it must be the bare domain (apple.com), not a full URL. Returns an `organization` object with `id`, `name`, `website_url`, `linkedin_url`, `twitter_url`, `facebook_url`, `angellist_url`, `phone`, `founded_year`, `alexa_ranking`, `publicly_traded_symbol`, `publicly_traded_exchange` and `languages`. Use it as the entry point when all you have is a domain. For several domains at once use `post_apollo_organizations_bulk_enrich`; for the full record including funding and technology detail use `get_apollo_organizations_id`, which needs the Apollo organization id this call returns.
    ConnectorOAuth
  • Enrich one company by domain. `domain` is the only parameter and it must be the bare domain (apple.com), not a full URL. Returns an `organization` object with `id`, `name`, `website_url`, `linkedin_url`, `twitter_url`, `facebook_url`, `angellist_url`, `phone`, `founded_year`, `alexa_ranking`, `publicly_traded_symbol`, `publicly_traded_exchange` and `languages`. Use it as the entry point when all you have is a domain. For several domains at once use `post_apollo_organizations_bulk_enrich`; for the full record including funding and technology detail use `get_apollo_organizations_id`, which needs the Apollo organization id this call returns.
    ConnectorOAuth
  • The complete Apollo record for one company, by Apollo organization id (not by domain). Returns an `organization` object carrying everything enrichment returns plus the deeper fields: funding history, technology stack, department headcounts and related organizations. Get the id from `get_apollo_organizations_enrich` or `post_apollo_mixed_companies_search` first — this endpoint cannot take a domain.
    ConnectorOAuth
  • Enrich one company by domain. `domain` is the only parameter and it must be the bare domain (apple.com), not a full URL. Returns an `organization` object with `id`, `name`, `website_url`, `linkedin_url`, `twitter_url`, `facebook_url`, `angellist_url`, `phone`, `founded_year`, `alexa_ranking`, `publicly_traded_symbol`, `publicly_traded_exchange` and `languages`. Use it as the entry point when all you have is a domain. For several domains at once use `post_apollo_organizations_bulk_enrich`; for the full record including funding and technology detail use `get_apollo_organizations_id`, which needs the Apollo organization id this call returns.
    ConnectorOAuth
  • The complete Apollo record for one company, by Apollo organization id (not by domain). Returns an `organization` object carrying everything enrichment returns plus the deeper fields: funding history, technology stack, department headcounts and related organizations. Get the id from `get_apollo_organizations_enrich` or `post_apollo_mixed_companies_search` first — this endpoint cannot take a domain.
    ConnectorOAuth
  • Screen up to 25 company domains for dated buying signals: hiring (live job posts with evidence URLs), funding, news, job_change. For angles, what's changed, how to approach, or why now on one company or person, use research_company (a company) or prospect_picture (a person, their company, or both) instead. Leave signals out unless a family must be checked on every company: by default only hiring is checked, a company that is not hiring costs nothing, and a hiring company's latest funding round comes with it (the others list funding under skipped_signals). A company with a current hiring signal costs 11 credits. Each paid check you ask for explicitly (funding on a company that is not hiring, news, job_change, technology) costs 13 credits whatever it finds; hiring checks that find nothing, and failed checks, are free; result.domain_status[].charge shows what each company cost. Recency: signals observed inside since / within_days (default 180 days) are current; older ones return under result.historical as context. Each news signal carries news_type, the kind of news it is: funding | product | partnership | customers | expansion | leadership | layoffs | acquisition | challenges | recognition | other. roles filters hiring by job title (literal match). technology is DEPRECATED (a present-day vendor detection with no adoption date, not a buying signal; use find_companies technologies). audience is an optional goal: what you sell and to whom. It never changes charges. With a goal, ranking.by says goal when signals were judged for it, otherwise recency (today’s order); why_now requires a date within 60 days, and why_now_basis says judged or date. Unavailable or unsure judgments use the date rule. budget_credits is a spend ceiling, never permission to use a dearer source: above it, the call is refused before anything is reserved, and no company you sent is dropped to fit. dry_run: true returns the plan instead (the most the call can cost, how many sources could answer, and each limit it would trip) with nothing looked up, reserved or charged. Example: {"company_domains":["acme.com","example.io"]}
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  • Returns a firmographic profile for one company from its domain: description, industry, business model, size band and employee estimate, headquarters, founding year, funding stage, revenue estimate and recent growth signals, with sources in _meta.sources. Use when you have a company domain and need to qualify or segment the account, especially GCC and MENA companies. Not for finding companies (use apione_company_search), finding contacts (use apione_people_search or apione_email_find) or a technology list (use apione_tech_detect). Takes 5 to 9 seconds. Size, revenue and funding fields are estimates from public sources, and a field with no evidence is null. Cost: 5 credits per call. Misses, errors and answers without live evidence are free.
    ConnectorNo auth
  • Detects recent business signals for a company: funding events, expansion, hiring surges, technology adoption and leadership changes, each with a strength, a date and a source hint, plus an overall intent score. Use to decide when and why to contact a company. Pass a domain, or pass article text in content to extract signals from it. Not for a list of open roles (use apione_hiring). Takes about 8 to 10 seconds. Cost: 3 credits per call. Misses, errors and answers without live evidence are free.
    ConnectorNo auth
  • Fetch the recent LinkedIn posts of one person or one company. identifier accepts a profile or company URL, a slug, a person URN, or a company website domain like 'microsoft.com'; the entity type is detected automatically. A domain resolves to its verified company first, exactly like linkedin_get_company: it QUOTES base+4 credits (set max_credits accordingly) and the surcharge is refunded at settlement for already-known domains, so they settle at the base price. Company URNs and numeric company ids are search-filter inputs, not fetch identifiers: use the company slug, URL, or domain here. Returns one page of posts (text, created_at, author, likes, comments_count, shares, is_repost, url) with a cursor for older posts. Costs 4 credits per page. Use this for 'what has X been posting', voice-of-company research, or activity checks before outreach. Not for reading one specific post you already have a URL for, and not for keyword search across LinkedIn; neither is supported in v1.
    ConnectorOAuth
  • Search XPay Hub for paid API services. Use this PROACTIVELY when the user asks you to: search the web, find emails, enrich contacts/companies, verify emails, find similar websites, extract web page content, get company news, search for people by title/company, get job postings, generate images, or any data lookup task. Returns matching servers with slugs, tool counts, and pricing. Use xpay_details next to see the full tool list for a server.
    ConnectorNo auth
  • Search V³ News for tracked geopolitical events. Use when the user asks what is happening on a topic, in a country, or in a domain (e.g. security, energy, finance, technology). Returns a ranked list of events with why-it-matters, risk/impact/signal scores, and a v3.news link for each. Args: query: free-text topic (e.g. "Iran sanctions", "Taiwan"). Optional. country: ISO-3166 alpha-2 code to filter by (e.g. "US", "CN"). Optional. category: V³ category slug — one of geopolitics, security_risk, energy_resources, finance, markets, macroeconomics, public_finance, trade_supply, technology, science_biosecurity, environment_climate, business. Optional. limit: max results, 1-20 (default 10).
    ConnectorNo auth