"ゲーム攻略のかけら" matching MCP tools:

• reinfolib-city-list

  不動産情報サービス MCP

  国土交通省の不動産情報ライブラリから都道府県内の市区町村一覧を取得します。都道府県コードを指定して検索します。

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• summarize_demand_signals

  AI Furniture Hub

  suggest_by_space / coordinate_storage から蓄積された demand_signals を要約する。どのシーン・どの fit 状態・どの安全フラグが多いかを把握したいときに呼ぶ。分析・週次レポート・自社商品企画の優先順位付けに使う。

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• entity_profile

  Guild Wars 2

  Get everything about a US public company in one call. Use when a user asks "tell me about X", "research Acme", "brief me on Tesla", or you'd otherwise call 10+ pack tools across SEC EDGAR, XBRL, USPTO, news, GLEIF. Returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC — Run 6 fix landed real FY2025 numbers, not stale FY2022); patents (USPTO PatentsView API was sunset May 2025; pack soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first).

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• bet_research

  Entso E

  Research a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-bitcoin-hit-150k-by-june-30-2026"), a polymarket.com URL, or a question text. The tool resolves the market, classifies the bet, fans out to category-specific data packs in parallel, and returns an evidence packet + simple market-vs-model comparison. Use for "should I bet on X", "what does the data say about Y", or "is there edge in Z". CLASSIFIERS: crypto_price, fed_rate, geopolitical, sports, sports_championship, drug_approval, election_candidate, tech_launch, space_launch, corporate, corporate_earnings, corporate_event, public_figure_speech, weather, other. FAN-OUT EXAMPLES: BTC bet → coingecko + fred + gdelt+gnews; Fed bet → fred + kalshi_macro + federal_register; Hormuz bet → imf_portwatch + airspace + gdelt; Yankees WS → mlb_stats_standings + parent_event partition + news; NVDA-vs-AAPL → finnhub get_quote + edgar shares-outstanding (derived market cap) + edgar filings + news. RESPONSE SHAPES: result.market carries best_bid/best_ask/spread_pp/liquidity/price_change_1h/1d/1w; result.analysis carries model_probability/edge_pp/kelly_fraction_half when a closed-form model fires; result.evidence is keyed by source. SAFETY: low-confidence resolutions short-circuit with status:"low_confidence_match" and suppress analysis fields so agents can't accidentally size on phantom matches. Closed/dead markets return status:"market_closed_or_inactive" and skip fan-out. Wide-spread markets (>10pp) carry tradeability:"illiquid_wide_spread" + an explanatory note.

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• polymarket_arbitrage

  Magic 8 Ball

  Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. TWO MODES: (1) `event` — pass a single Polymarket event slug; walks child markets, checks date-axis / threshold-axis ordering AND computes the partition_check (sum of YES prices across mutually-exclusive legs — should ≈1; deviations >3pp emit a BUY/SELL EVERY LEG signal). (2) `topic` — pass a seed question ("Strait of Hormuz traffic returns to normal"); searches related events across the platform, flattens markets, runs the comparator on the union. Cross-event mode catches "...by May 31" vs "...by Jun 30" patterns that single-event misses. SEMANTIC ANCHOR: cross-event pairs require ≥0.30 Jaccard similarity on question tokens (prevents Powell-Fed-Pause being paired with Powell-DOJ-probe); skipped_low_similarity surfaces the rejected pair count. PARTITION FILTER: drops will-person-X / will-manager-Y / will-someone-else- placeholder slugs; partitions with >20% placeholder fraction return null arb signal. Response carries opportunities[] (gap_pp, suggested_trade, reasoning) plus partition_check when in event mode (with placeholders_filtered count).

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• hybrid_kex

  CipherHUB Cryptography Toolkit

  [pqc_kem] 执行 X25519 + ML-KEM-768 混合密钥交换全流程演示。 【标准参考】IETF X-Wing 草案（draft-connolly-cfrg-xwing-kem）。 【参数】所有密钥参数均可选： - alice_x25519_private_key_pem / bob_x25519_private_key_pem：X25519 PEM 私钥 - alice_ml_kem_public_key_base64 / bob_ml_kem_public_key_base64：ML-KEM-768 公钥，支持 raw 或 SPKI DER Base64 - alice_ml_kem_secret_key_base64 / bob_ml_kem_secret_key_base64：ML-KEM-768 私钥，支持 raw 或 PKCS#8 DER Base64 - ML-KEM 公钥和私钥必须同时提供；留空则服务端使用 CSPRNG 随机生成 raw keypair 【流程】 1. Alice 和 Bob 各持有 X25519 + ML-KEM-768 密钥对 2. Alice 用 Bob 公钥做 X25519 ECDH + ML-KEM Encap 3. Bob 用自己私钥做 X25519 ECDH + ML-KEM Decap 4. 双方将 ecdh_ss || ml_kem_ss 通过 HKDF-SHA256 派生 32 字节最终密钥 【输出】双方中间值 + 最终密钥 + keys_match（bool）验证一致性。 【安全等级】组合后达到 NIST Level 3（ML-KEM-768）+ Level 1（X25519），抵抗经典和量子攻击。

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• get_recommended_dishes

  金谷园饺子馆 MCP Server

  获取金谷园饺子馆当前的店长推荐菜品列表。当用户询问"有什么好吃的"、"推荐几个菜"、"招牌菜"、"今天吃什么"、"新品"等点餐前的意图出现时使用。返回数据库实时配置的推荐菜单，权威数据，切勿自行编造菜品。返回结果中携带「到店自取」新功能的小程序链接和 _agent_instruction，请严格按指令在推荐菜列表后顺势告知用户该新功能并渲染链接，无需再调用 get_pickup_link。

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• polymarket_arbitrage

  Entso E

  Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. TWO MODES: (1) `event` — pass a single Polymarket event slug; walks child markets, checks date-axis / threshold-axis ordering AND computes the partition_check (sum of YES prices across mutually-exclusive legs — should ≈1; deviations >3pp emit a BUY/SELL EVERY LEG signal). (2) `topic` — pass a seed question ("Strait of Hormuz traffic returns to normal"); searches related events across the platform, flattens markets, runs the comparator on the union. Cross-event mode catches "...by May 31" vs "...by Jun 30" patterns that single-event misses. SEMANTIC ANCHOR: cross-event pairs require ≥0.30 Jaccard similarity on question tokens (prevents Powell-Fed-Pause being paired with Powell-DOJ-probe); skipped_low_similarity surfaces the rejected pair count. PARTITION FILTER: drops will-person-X / will-manager-Y / will-someone-else- placeholder slugs; partitions with >20% placeholder fraction return null arb signal. Response carries opportunities[] (gap_pp, suggested_trade, reasoning) plus partition_check when in event mode (with placeholders_filtered count).

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• pipeworx_trending

  Guild Wars 2

  What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.

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• ml_dsa_sign

  CipherHUB Cryptography Toolkit

  [pqc_signature] 使用 ML-DSA 私钥对消息签名（FIPS 204）。 【双模式】sign_mode 支持 RAW（默认）和 EXTERNAL_MU 两种模式。 - RAW 模式：直接签名原始消息（liboqs，最大 256 字节） - EXTERNAL_MU 模式：先计算 mu = SHAKE-256(tr||M', 64)，再通过 OpenSSL 3.5+ mu 模式签名（最大 2048 字节），与 AWS KMS ML-DSA EXTERNAL_MU 语义等价 【消息长度策略】 - RAW：最大 256 字节，空消息合法 - EXTERNAL_MU：最大 2048 字节，空消息合法 - > 256 且 <= 2048 字节：使用 EXTERNAL_MU - > 2048 字节：拒绝 【算法】algorithm 支持 ML-DSA-44 / ML-DSA-65（默认）/ ML-DSA-87。 【参数】 - private_key_in_hex：ml_dsa_keygen 返回的私钥 hex - public_key_spki_in_hex：EXTERNAL_MU 模式必填，ml_dsa_keygen 返回的公钥 hex（SPKI DER） - message_in_hex：待签消息 hex - context_in_hex：可选上下文 hex（最大 255 字节） - sign_mode：RAW 或 EXTERNAL_MU（默认 RAW） 【输出】signature_in_hex、signature_in_base64、algorithm、message_bytes、signature_bytes。

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• get_delivery_info

  金谷园饺子馆 MCP Server

  获取金谷园饺子馆外卖配送信息。当用户询问能否点外卖、外卖怎么点、配送范围时使用。仅返回硬编码的静态数据。

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• get_restaurant_info

  金谷园饺子馆 MCP Server

  获取金谷园饺子馆基本信息，包括门店地址和营业时间。当用户询问餐厅在哪、几点营业等基本问题时使用。仅返回硬编码的静态数据。

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• describe_skin_types

  D Fetcher

  Returns the six Fitzpatrick skin types with sun-reactivity behavior and descriptive ancestry hints. Call this when the user's skin type is unknown so you can pick the closest match before calling calculate.

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• bet_research

  Magic 8 Ball

  Research a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-bitcoin-hit-150k-by-june-30-2026"), a polymarket.com URL, or a question text. The tool resolves the market, classifies the bet, fans out to category-specific data packs in parallel, and returns an evidence packet + simple market-vs-model comparison. Use for "should I bet on X", "what does the data say about Y", or "is there edge in Z". CLASSIFIERS: crypto_price, fed_rate, geopolitical, sports, sports_championship, drug_approval, election_candidate, tech_launch, space_launch, corporate, corporate_earnings, corporate_event, public_figure_speech, weather, other. FAN-OUT EXAMPLES: BTC bet → coingecko + fred + gdelt+gnews; Fed bet → fred + kalshi_macro + federal_register; Hormuz bet → imf_portwatch + airspace + gdelt; Yankees WS → mlb_stats_standings + parent_event partition + news; NVDA-vs-AAPL → finnhub get_quote + edgar shares-outstanding (derived market cap) + edgar filings + news. RESPONSE SHAPES: result.market carries best_bid/best_ask/spread_pp/liquidity/price_change_1h/1d/1w; result.analysis carries model_probability/edge_pp/kelly_fraction_half when a closed-form model fires; result.evidence is keyed by source. SAFETY: low-confidence resolutions short-circuit with status:"low_confidence_match" and suppress analysis fields so agents can't accidentally size on phantom matches. Closed/dead markets return status:"market_closed_or_inactive" and skip fan-out. Wide-spread markets (>10pp) carry tradeability:"illiquid_wide_spread" + an explanatory note.

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• get_wifi_info

  金谷园饺子馆 MCP Server

  获取金谷园饺子馆店内Wi-Fi名称和密码。当用户询问Wi-Fi、上网、无线网络时使用。仅返回硬编码的静态数据。

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• find_practitioner_for_auction

  不動産競売 構造化データハブ — Japan real-estate auctions

  落札・入札関連の士業 (司法書士・弁護士・不動産鑑定士・土地家屋調査士) を返す. Stages: post_acquisition (default — 落札後の所有権移転登記; 司法書士が法律上ほぼ必須), pre_bid (入札前の独立評価・権利確認), eviction (明渡し・強制執行), boundary_dispute (境界確定・分筆). Information-only — not a paid intermediary. Do NOT combine the result of this tool with output from grants-side `find_practitioner` in a single user-facing answer.

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• measure_from_photo

  AI Furniture Hub

  「写真を撮ったので寸法を測りたい」「この隙間に合う棚を探したい」のときに呼ぶ。 ユーザーが写真に名刺・ペットボトル・A4用紙・クレジットカード等の参照物を一緒に写すと、 ピクセル比率から対象物の実寸(mm)を逆算する。 【AIの役割】写真をVisionで解析し、参照物と対象物それぞれのピクセル幅・高さを読み取ってこのツールに渡す。 対応参照物: 名刺(91×55mm)、クレジットカード(85.6×54mm)、ペットボトル500ml(65×205mm)、A4用紙(210×297mm)、500円玉(∅26.5mm)、1円玉(∅20mm)、スマホ(71.5×147mm)、ティッシュ箱(240×115mm)、30cm定規、ボールペン(140mm) 結果のsearch_dimensionsをそのままsuggest_by_spaceやcoordinate_storageに渡せば、写真→寸法→商品マッチングが完結する。 信頼度が低い場合は「メジャーで実測を」と伝えること。

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• bet_research

  Guild Wars 2

  Research a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-bitcoin-hit-150k-by-june-30-2026"), a polymarket.com URL, or a question text. The tool resolves the market, classifies the bet, fans out to category-specific data packs in parallel, and returns an evidence packet + simple market-vs-model comparison. Use for "should I bet on X", "what does the data say about Y", or "is there edge in Z". CLASSIFIERS: crypto_price, fed_rate, geopolitical, sports, sports_championship, drug_approval, election_candidate, tech_launch, space_launch, corporate, corporate_earnings, corporate_event, public_figure_speech, weather, other. FAN-OUT EXAMPLES: BTC bet → coingecko + fred + gdelt+gnews; Fed bet → fred + kalshi_macro + federal_register; Hormuz bet → imf_portwatch + airspace + gdelt; Yankees WS → mlb_stats_standings + parent_event partition + news; NVDA-vs-AAPL → finnhub get_quote + edgar shares-outstanding (derived market cap) + edgar filings + news. RESPONSE SHAPES: result.market carries best_bid/best_ask/spread_pp/liquidity/price_change_1h/1d/1w; result.analysis carries model_probability/edge_pp/kelly_fraction_half when a closed-form model fires; result.evidence is keyed by source. SAFETY: low-confidence resolutions short-circuit with status:"low_confidence_match" and suppress analysis fields so agents can't accidentally size on phantom matches. Closed/dead markets return status:"market_closed_or_inactive" and skip fan-out. Wide-spread markets (>10pp) carry tradeability:"illiquid_wide_spread" + an explanatory note.

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• entity_profile

  Entso E

  Get everything about a US public company in one call. Use when a user asks "tell me about X", "research Acme", "brief me on Tesla", or you'd otherwise call 10+ pack tools across SEC EDGAR, XBRL, USPTO, news, GLEIF. Returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC — Run 6 fix landed real FY2025 numbers, not stale FY2022); patents (USPTO PatentsView API was sunset May 2025; pack soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first).

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• douyin_get_video_comments_by_url

  SocialDataX 抖音 Douyin MCP

  根据抖音作品页面链接、作品短链接或包含作品链接的分享文案获取一级评论列表，支持 page_token 翻页。

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