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281,127 tools. Last updated 2026-07-10 05:35

"A search engine that searches multiple other search engines" matching MCP tools:

  • Create a DRAFT email campaign via a programmatic wizard. Call this tool and it will guide through the steps — no manual orchestration needed. WIZARD STEPS (handled automatically by the tool): 1. Call with contacts + total_contacts → tool returns engine picker (NextGen vs MyConvo) 2. Add campaign_type from user's click → tool returns campaign category chips (promotional, newsletter, event…) 3. Add campaign_category from user's click → tool returns engine-specific template gallery MyConvo: shows plain_email_templates (personal plain-text). NextGen: shows campaign_templates (HTML). 4. Add template_id from user's pick → tool creates the draft campaign. RULES: Reuse contacts from prior search — never re-search. Pass total_contacts from search result's total_in_crm so the user always sees the full count. Saves as DRAFT only — no emails sent.
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  • Search for airports and cities to get their identifiers for Google Flights tools. Returns: - IATA airport codes (e.g., 'JFK') for specific airports - kgmid (e.g., '/m/02_286') for cities - searches all airports in that city Use this tool when you have a city name like 'New York' or 'Paris' and need to convert it to codes that the flight tools accept. Note: Common IATA codes like JFK, LAX, SFO, LHR, CDG, NRT can be used directly without this tool.
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  • AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'
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  • Semantic search over the Proximens GEO Oracle: a curated, continuously-updated knowledge base of 3.000+ verified Generative Engine Optimization (GEO/AEO) principles, each graded by a 0-1 confidence score and traceable to a verified source. INPUT: query (natural language, 3-500 chars); optional category (one of 13 GEO categories), top_k (1-25, default 10), min_confidence (0-1, default 0.5). RETURNS: ranked principles as JSON, each with id, title, summary, category, confidence and a relevance score; Pro/Enterprise tiers additionally return full_text and source. USE WHEN you need evidence-backed answers about how AI search engines (ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot) select, rank and cite web content.
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  • Multi-language, multi-source web search that goes beyond Anglo-centric results. Supports 15 languages (fr/de/es/it/pt/nl/ja/zh/ko/ar/ru/sv/pl/tr/en) with automatic detection. Aggregates results from Mojeek (independent search engine, multilang) and Wikipedia (native multilang API), with DDG and HN as English-language complements. Returns deduplicated results ranked by cross-engine consensus. Use when you need non-English search results, when DDG fails, or for geographically-biased queries. Phase 2 #7 of the geo/lang expansion plan. Note: Brave/Bing/Searx are blocked from DO IPs — configure AICI_RESEARCH_PROXY_URL for residential proxy.
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  • Send structured feedback on a previous `firecrawl_search` result. **Call this immediately after a search where you used the results** so we can improve search quality and refund 1 credit (search costs 2). Pass the `searchId` returned by `firecrawl_search` (the `id` field on the response) and tell us: - **rating** — overall result quality: `good`, `partial`, or `bad`. - **valuableSources** — which result URLs were actually useful, and a short reason why. - **missingContent** — **the most important field.** An ARRAY of specific pieces of content you expected to find but didn't. One entry per missing piece, each with a short `topic` and an optional longer `description`. Examples: `{"topic":"enterprise pricing","description":"no pricing tier table for the Enterprise plan was returned"}`, `{"topic":"API rate limits"}`, `{"topic":"comparison vs competitors"}`. **Be specific** — these aggregate across teams and tell us what to index next. Do not pack multiple topics into one entry. - **querySuggestions** — how the query or response shape could be improved (e.g. "would have liked official docs first", "should boost github.com"). **Substantive-feedback requirement** (zero-effort feedback is rejected with HTTP 400): - `good` — must include at least one `valuableSources` entry - `partial` — must include `valuableSources` or at least one `missingContent` entry - `bad` — must include at least one `missingContent` entry or `querySuggestions` **Time window:** Feedback must be submitted within ~2 minutes of the search. Beyond that, the call returns HTTP 409 with `feedbackErrorCode: "FEEDBACK_WINDOW_EXPIRED"` — do not retry, just move on. Same goes for any 4xx response: do not retry-loop. **Behaviors:** - Idempotent per `searchId`. Re-submitting for the same id returns `alreadySubmitted: true` with `creditsRefunded: 0`. - Refund only applies to billable searches; preview teams are blocked. - Failed searches cannot receive feedback (the search itself already returned an error you can act on). - **Daily refund cap (per team, per UTC day, default 100 credits).** Once a team's `creditsRefundedToday` reaches `dailyRefundCap`, the response returns `dailyCapReached: true` with `creditsRefunded: 0`. The feedback is still recorded for search-quality improvement — only the credit refund is gated. **Stop calling this tool for the rest of the UTC day** when you see `dailyCapReached: true`. **When to call:** Right after processing a search result. If the result didn't help, send rating `bad` with a clear `missingContent` — that is just as valuable as a `good` rating. **Usage Example (good rating with valuable sources + missing content):** ```json { "name": "firecrawl_search_feedback", "arguments": { "searchId": "0193f6c5-1234-7890-abcd-1234567890ab", "rating": "good", "valuableSources": [ { "url": "https://docs.firecrawl.dev/features/search", "reason": "Most up-to-date description of /search." } ], "missingContent": [ { "topic": "Pricing for the search endpoint", "description": "No pricing tier table for /search specifically." }, { "topic": "Rate limits", "description": "Per-team RPS for /search not documented." } ], "querySuggestions": "Boost docs.firecrawl.dev for queries that mention 'firecrawl'" } } ``` **Usage Example (bad rating, what was missing):** ```json { "name": "firecrawl_search_feedback", "arguments": { "searchId": "0193f6c5-1234-7890-abcd-1234567890ab", "rating": "bad", "missingContent": [ { "topic": "Recent benchmarks", "description": "All results were >12 months old." }, { "topic": "Comparison vs Algolia" } ] } } ``` **Returns:** `{ success, feedbackId, creditsRefunded, creditsRefundedToday, dailyRefundCap, dailyCapReached?, alreadySubmitted?, warning? }` JSON.
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  • Search PubMed and summarize biomedical literature — designed for AI health agents.

  • Brave Search MCP — independent web index (no Google/Bing dependency)

  • Search for contacts by title, company, or query. Searches saved Xmagnet contacts first (free, instant), then a profile-first prospecting page of up to 50 profiles (free, emails HIDDEN). Examples: 'CTOs in Denver', 'John Smith at Google', 'VPs of Sales at SaaS startups'. Emails are not included — to reveal one, call find_email for that person (4 credits per verified find). Use load_more_contacts for the next page.
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  • The FULL ReefAPI catalog — EVERY engine with its one-line title, grouped by category. This is the whole menu (≈ a few thousand tokens); SCAN IT AND PICK THE BEST ENGINE YOURSELF. You are an LLM, so you match the user's intent semantically — across ANY language, typo, or phrasing — far better than a keyword search can. Use this whenever search_engines didn't surface the right engine (or to be sure you didn't miss a better one). After you pick: get_engine_schema(engine) -> get_action_schema -> call_engine.
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  • List or search the products endoflife.ai tracks (459+). Pass an optional "query" substring to find the canonical slug for a product before calling the other tools (e.g. "postgres" → "postgresql"). Returns matching product slugs.
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  • 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.
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  • Find hospitals by name/city/state, or list a sample of hospitals. Returns hospital names, IDs, EINs, NPIs, and per-campus locations with addresses and coordinates. Use hospital IDs to filter other search tools. The result is capped (~100 hospitals) for performance, so the unfiltered list is only a sample. To locate a SPECIFIC hospital, pass ``search`` (a name/city/state substring) — it filters server-side and returns the matches. NOTE: This lists US HOSPITALS only — not non-US providers, independent imaging centers, ambulatory surgery centers, clinics, or other freestanding facilities. Args: search: Optional name/city/state substring to find a specific hospital. Returns: JSON array of hospitals with id, name, display_name, ein, npi, cms_certification_number, and locations (address, city, state, lat/lng).
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  • Search, filter, sort, or retrieve by ID. Covers all OpenAlex entity types (works, authors, sources, institutions, topics, keywords, publishers, funders). Pass `id` to retrieve a single entity. Otherwise, use `query` and/or `filters` for discovery. Supports keyword search with boolean operators, exact phrase matching, and AI semantic search. Use openalex_resolve_name to resolve names to IDs before filtering. Searches and ID lookups return a curated set of fields by default; pass `select` to override with specific fields, or `["*"]` for the full record.
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  • List all 15 supported email clients with IDs, names, rendering engines, dark mode support, and deprecation status. Use the returned IDs to filter other tools like preview_email or capture_screenshots.
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  • Search Helium's balanced news stories — AI-synthesized articles that aggregate multiple sources. Unlike search_news (which returns individual RSS articles), this returns Helium's own synthesized stories: each one draws from multiple sources and includes an AI-written summary, takeaway, context, evidence breakdown, potential outcomes, and relevant tickers. Returns a list of stories, each with: - title, simple_title, date, category - page_url: full URL to the story on heliumtrades.com - image: story image URL (when available) - summary: Helium's synthesized overview - takeaway: key conclusion - context: background context - evidence: numbered evidence items - potential_outcomes: forward-looking outcomes with probabilities - relevant_tickers: related stock tickers - num_sources: number of source articles synthesized - rank: search relevance score Args: query: Search keywords (required). limit: Max results (1-50, default 10). category: Filter by category. One of: 'tech', 'politics', 'markets', 'business', 'science'. days_back: Only include stories from the last N days. 0 means no date filter.
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  • Perform comprehensive research on a topic. Decomposes your query into sub-queries, searches and reads multiple sources in parallel, then synthesizes a structured report with citations. Best for open-ended or comparative questions that need coverage from many angles. For simple factual lookups, use search instead (optionally with include_answer=true for cheap synthesis). Costs 25 credits. Returns: query, report (structured markdown with citations), sources (array of {title, url, fetched}), sub_queries (the decomposed queries), credits_used, credits_remaining, usage (token counts). Args: query: The research question or topic topic: "general" (default) or "news" (prioritize recent news articles) freshness: Filter by recency - "day", "week", "month", "year", or "YYYY-MM-DD:YYYY-MM-DD" max_sources: Maximum number of sources to use, 5-30 (default 20)
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  • Multi-language, multi-source web search that goes beyond Anglo-centric results. Supports 15 languages (fr/de/es/it/pt/nl/ja/zh/ko/ar/ru/sv/pl/tr/en) with automatic detection. Aggregates results from Mojeek (independent search engine, multilang) and Wikipedia (native multilang API), with DDG and HN as English-language complements. Returns deduplicated results ranked by cross-engine consensus. Use when you need non-English search results, when DDG fails, or for geographically-biased queries. Phase 2 #7 of the geo/lang expansion plan. Note: Brave/Bing/Searx are blocked from DO IPs — configure AICI_RESEARCH_PROXY_URL for residential proxy.
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  • 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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  • Save a search query for email alerts. When new opportunities match, the user receives daily or weekly email notifications. The FREE tier includes 1 saved search with weekly email alerts, so any user can set one up without a paid plan. RECOMMENDED WORKFLOW: 1. Call list_saved_searches first to check for existing/similar searches 2. If a similar search exists, offer to update_saved_search instead 3. Search with search_grantsplus or search_procurement first to validate the query returns good results 4. Save with appropriate filters based on what the user described FILTER TIPS: - Use itemTypes ["grant"] for grants/fellowships or ["procurement"] for contracts/RFPs - Use sourceTypes ["federal"] for federal opportunities only - Use geography ["CA"] for California-specific (includes national opportunities) - For SAM.gov-specific filters (NAICS, set-asides), use sourceContext - Keep filters broad for notifications - better to get a few extra than miss one PLAN LIMITS: Free: 1 saved search, weekly email alerts. Plus ($29/mo): 10 saved searches, daily or weekly alerts. Pro ($79/mo): 25 saved searches, daily or weekly alerts. Does not count toward your monthly searches.
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  • Decode a 7-character FAA manufacturer/model/series code to aircraft specifications from the reference table — manufacturer, model, aircraft category, aircraft type, engine type, number of engines, number of seats, weight class, cruise speed, and type-certificate data sheet/holder. Use faa_search_aircraft_types first to discover a code by manufacturer or model name.
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