"Information about Baidu, a Chinese technology company and search engine" matching MCP tools:

• searchJobs

  qubitsok — Quantum Computing Jobs, Papers & Researchers

  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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• get_hiring_signal

  bitcoin-signals

  Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.

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• get_hiring_signal

  CoinBucha

  Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.

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• get_catalog

  ReefAPI

  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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• enrich

  x402-data-gateway

  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.

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• deep_audit

  x402-data-gateway

  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.

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• get_sector_read

  Coil Scanner

  One sector's drill-down: every member of the sector scored and ranked by opportunity, plus the sector's own ETF row. Accepts a sector name (e.g. 'Energy', 'Information Technology') or its ETF symbol (e.g. XLE, XLK). Unknown values return the sector directory. Free tier: one market day delayed. Live sibling (x402, pay-per-call): get_sector_read_live.

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• card_price

  POKEKA — Pokémon Card Prices

  Use when the user asks what a card is worth, its PSA 10 / PSA 9 / CCIC 10 price, current market value, or what it last sold for. Returns a headline price (USD/CNY/JPY) from verified real sales (robust median — never listings, never interpolated) with grading company, grade, sample size, window and confidence, plus a per-grade ladder (PSA 10/9/8, CCIC, BGS, CGC …). Pass company + grade to price a specific grade (e.g. company "PSA", grade "9"); if that grade has no data the response says price_status "grade_not_available" and does NOT fall back to PSA 10. price_status "reference_only" = low confidence or thin sample — quote it with that caveat (safe_to_quote=false). "card_not_found" = wrong id, search again. Markets are kept separate: Japanese cards with Japan-domestic activity are priced from JPY marketplace sales (not converted US prices), Simplified-Chinese cards from Chinese market sales including CCIC slabs.

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• v3_search_events

  V³ News

  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).

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• cache

  Aginx Browser

  Query the LOCAL CACHE of every page this server has fetched and every search it has run. Check here BEFORE re-fetching or re-searching — a hit is instant and free while a fresh fetch costs 5-60s. Use query for full-text search (works for Chinese substrings and English words), get to pull a page's full cached content, stats for counts, clear to delete rows.

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• china_market_data

  gapup-mcp

  Chinese capital market intelligence for the ZH diaspora (50M+) and institutional investors. Covers A-Shares (SSE/SZSE), H-Shares (HKEX), and ADRs across four modes: • company — full company profile: name ZH/EN, USCC (18-digit social credit code), exchange, industry (CSRC classification), chairperson, registered capital, SOE flag • market_quote — real-time quote: price (CNY or HKD), change%, volume, market cap, P/E ratio, dividend yield, last update timestamp • sector_overview — sector snapshot: top 5 companies by market cap, avg P/E, 30-day sector index change. Supported sectors: semiconductor, ev, battery, technology, finance, energy, realestate, consumer, pharma, telecom • regulatory_filing — recent regulatory disclosures (HKEX filings: annual, quarterly, announcements, mergers, IPOs) with title, date, document URL Input formats accepted: • 6-digit A-Share ticker (e.g. '600519' for Moutai SSE) • HKEX ticker (e.g. '0700.HK' or '700' for Tencent) • Company name in EN or ZH (e.g. '腾讯', 'Kweichow Moutai') • Sector keyword (e.g. 'semiconductor', '半导体') Data sources: Yahoo Finance (primary, always accessible), Eastmoney push2 + CompanySurvey (via Bright Data proxy when AICI_RESEARCH_PROXY_URL is set), HKEX filing API. Note: Eastmoney/CSRC/SSE are blocked from datacenter IPs without proxy — set AICI_RESEARCH_PROXY_URL to unlock full coverage.

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• SearchTechnologiesTool

  SaaS Browser

  Search SaaS Browser technologies by name or category. Returns matching technology IDs for use with the SearchSaasTool technology_ids filter.

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• search_proverbs

  Quotewise

  Search for proverbs with optional tradition and topic filters. Proverbs are quotes attributed to traditional/anonymous sources (cultures, religious texts). Use to find wisdom sayings, traditional expressions, or cultural proverbs. Tradition hierarchy: Some traditions have sub-traditions (e.g., Arabic → Bedouin). Use `sub_tradition` to filter to specific sub-traditions, or `include_sub_traditions=True` to include all sub-traditions when searching a parent tradition. Examples: - `search_proverbs(about="patience")` - proverbs about patience - `search_proverbs(tradition="Chinese")` - Chinese proverbs - `search_proverbs(tradition="Arabic", include_sub_traditions=True)` - Arabic + Bedouin + Yemeni - `search_proverbs(tradition="Arabic", sub_tradition="Bedouin")` - only Bedouin proverbs - `search_proverbs(tradition="Bible", language="en")` - Biblical proverbs in English

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• general_search

  Nansen

  General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find the address behind a Nansen label (public figure, fund, exchange wallet) - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)

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• fda_warning_letters

  Openfda

  Search FDA WARNING LETTERS — official enforcement letters FDA sends firms for violations (CGMP, adulterated/misbranded products, unapproved claims). Answers "has <company> received an FDA warning letter", "recent FDA warning letters about supplements/devices". By default `search` matches the RECIPIENT company the letter was issued to, so the answer is about that firm's own enforcement history; set match:"fulltext" to search the whole letter record instead, which also finds letters that merely mention a firm. Every row reports matched_field so a caller can tell "issued to" from "mentions". Covers ~3,660 letters. Returns recipient company, posted/issued dates, issuing FDA office, subject, and a link to the full letter text. Keyless, live from fda.gov.

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• list_avatars

  Genpio AI Livestream MCP

  Report how many public avatars Genpio publishes and return their ids, along with the URL template that renders a portrait. Every avatar is driven by Genpio's own in-house avatar model on Genpio's proprietary technology, not a licensed or third-party avatar engine. The library carries no per-avatar metadata, so this cannot filter by name, gender or nationality. Private customer avatar clones are never listed.

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• search_topics

  TrendFlow

  Resolves a name — a company, product, person, technology, or concept — to its Google Trends topic id (`mid`), with a `type` field that distinguishes same-name entities such as Nike the company from Nike the goddess. A topic aggregates every spelling and translation of one concept, so it measures considerably more search activity than a literal phrase: the topic for "artificial intelligence" scores 62 where the literal string scores 1. The other TrendFlow tools accept a topic id anywhere they accept a keyword.

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• get_company_profile

  mcp

  Complete company information for Everstake: overview, metrics, certifications, products, clients, and contact details. Use when users need comprehensive facts about Everstake as a company.

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• citation_tracker_check

  citation-tracker

  Sends one prompt to 1 to 4 search assistants (Perplexity, OpenAI, Anthropic, Gemini) and reports whether each cites your target domains: cited status, citation count, cited domains, model, and a structured error per engine. Started concurrently; a failed engine returns `cited: null` and does not block the others (PD7). Paid, $0.75/call; read-only and safe to retry.

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• get_company_earnings

  Fodda Earnings Intelligence

  The canonical per-ticker earnings source. Returns the full truth-layer record for covered tickers (517 consumer-sector companies) — analyst concerns, sentiment labels, strategic activity (marketing/retail/technology/sustainability), CEO intelligence, and validated consumer trends from Fodda's quarterly analysis pipeline. Falls back to web-backfill for uncovered tickers. Use this for company-specific data. Use get_earnings_intelligence for cross-company thematic comparisons.

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