"Resources for Analyzing Stock Patterns" matching MCP tools:

• request_back_in_stock

  Synchronity

  Subscribe the buyer to a back-in-stock alert for an out-of-stock product. Use when the buyer asks to be notified/told/pinged when an item restocks ("notify me when X is back", "let me know when it's in stock"). Collect the buyer's email so the alert can reach them (without it only the demand is recorded for the merchant). The buyer is emailed when the product is next seen in stock. Returns whether an email alert was armed.

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• congress_trades

  mcp-server

  US congressional stock trades (Senate + House) - the "trade like Congress" signal, made agent-callable. Returns recent member stock transactions with ticker, buy/sell direction, dollar-amount range, and both the transaction and disclosure dates, sourced from STOCK Act filings. Pass symbol=<ticker> to filter to trades in one stock (e.g. NVDA); omit for the most recent trades across all members. Note: STOCK Act disclosures are lagged (median ~25 days, up to 45+ by law), so this is a disclosure-based signal, not real-time. Companion to InsiderFlow (corporate insiders). $0.05 via x402.

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• stock_data_query

  Shibui Finance

  Stock prices, earnings, revenue, P/E, dividends, filings, screener, comparisons Run a SQL query against 64 years of US stock market data. REQUIRES calling get_database_schema then get_query_patterns first (in that order). This tool has no schema or query patterns built in. Call get_database_schema once, then get_query_patterns once, then use this tool. Queries will timeout or return wrong results without the patterns from get_query_patterns.

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• get_product

  Custom Blinds Shop

  Fetch complete details for one product by id (e.g. roller-blockout, venetian-25mm-aluwood). Returns all available colours with in-stock status, materials, features, and maximum supported dimensions. Use before configure_product to confirm a colour exists and is in stock before committing.

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• dataset_details

  Opendata Swiss

  Full metadata for one dataset (CKAN package_show) including its resources/distributions with download URLs. Use a dataset `name` (slug) or id from search_datasets. There is no datastore, so fetch `resources[].download_url`/`url` for the underlying data.

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• get_congress_trades

  HoldingsIntel

  Returns the stock trades disclosed by members of Congress (the STOCK Act financial disclosures), filtered by a stock OR by a specific politician. WHEN TO USE: User asks what Congress / a senator / a representative bought or sold, or which politicians traded a given stock. Examples: - "What stocks did Nancy Pelosi trade?" - "Has any member of Congress bought NVDA?" - "Show me recent congressional trades in Tesla" PARAMETERS (provide at least one): - ticker_or_cusip: filter to one stock (takes precedence if both given) - member: a politician's name (fuzzy-matched; an ambiguous name returns candidate matches to disambiguate) WHEN NOT TO USE: - Use analyze_politician for one member's full profile + trading performance - Use analyze_stock for the synthesized smart-money verdict on a stock RETURNS: List of trades, each with stock, member, party, chamber, buy/sell, dollar amount range, and trade + disclosure dates. CITE: When you present these results, include the `_meta.source_url` link so the user can open the full analysis on HoldingsIntel.

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• us-stock-history

  The Stall

  Historical OHLCV bars for any US stock, ETF, or index. TradingView-compatible resolution (D, W, M, 60, 15, 5, 1). Pass Unix timestamps for from/to. $0.005/call — no API key required. Use us-stock-price for live quotes; equity-technicals for indicators.

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• search_datasets

  Data Nl

  Search Netherlands Open Data (Netherlands) for datasets by keyword. Returns each dataset's id/name, title, organization, and its resources (each with a resource_id for query_resource).

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• batch_geolocate

  iplookup

  Look up locations for up to 100 IP addresses at once. Returns geolocation and ISP data in the same order as input. Use for analyzing multiple IPs efficiently.

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• resolve_stock_code

  koreanpulse

  KRX 6-digit ticker → DART corp entry resolver. Free tier. Use this tool when the user provides a 6-digit Korean stock code (e.g. 005930 for Samsung Electronics, 000660 for SK hynix, 035420 for NAVER, 035720 for Kakao, 005380 for Hyundai Motor) and you need the company name + corp_code for downstream filings or industry-news lookups. When the code is unresolved but looks like a Korean preferred-stock ticker (6 digits, non-zero last digit, e.g. 005935 for 삼성전자우), the response carries an additive `related_common_stock` hint pointing at the common-stock entry — the corp registry only maps common stock, so no preferred-stock corp_code is fabricated.

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• content_evergreen_score_analyzer

  mcp-knowledge

  Evaluates content evergreen potential for CMOs by analyzing historical traffic patterns and backlink authority. Takes a content URL and optional time range, returns an evergreen score (0-100), traffic trend analysis, and backlink profile. Ideal for content strategy planning, SEO optimization, and identifying high-value evergreen assets. Uses Wayback Machine and Common Crawl public APIs.

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• syndicated_loan_covenant_breach_alert

  mcp-knowledge

  Monitors syndicated loan covenants for potential breaches by analyzing Tradeweb market data. Designed for CFOs to proactively identify financial compliance risks in loan agreements. Accepts loan identifiers, covenant thresholds, and reporting period as inputs. Returns structured breach alerts with market context and severity indicators.

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• content_evergreen_score_analyzer

  gapup-mcp

  Evaluates content evergreen potential for CMOs by analyzing historical traffic patterns and backlink authority. Takes a content URL and optional time range, returns an evergreen score (0-100), traffic trend analysis, and backlink profile. Ideal for content strategy planning, SEO optimization, and identifying high-value evergreen assets. Uses Wayback Machine and Common Crawl public APIs.

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• jailbreak_attempt_detector

  gapup-mcp

  Detects potential LLM jailbreak attempts by analyzing user input against NIST AI Risk Management Framework adversarial patterns. Designed for persona risk assessment, this tool evaluates text for common jailbreak techniques such as prompt injection, role-playing, or obfuscation. Inputs include the user message and optional context, returning a risk assessment with confidence scores and pattern matches. Ideal for real-time moderation in chat applications or API gateways.

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• get_resource

  changegamer

  Fetch a ChangeGamer resource by slug. Free resources return full metadata and Markdown body. Premium resources require a valid api_key; without one a payment-required object is returned.

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• dataset

  Data Nl

  Show full metadata for one Netherlands Open Data dataset by id or name (from search_datasets), including all resources and their resource_ids.

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• get_top_movers

  Signal8

  Top stock movers — gainers (largest % up), losers (largest % down), or active (highest volume). Optional session window (premarket / regular / afterhours; regular default; not supported for active). Penny-stock artifacts are filtered by default — set includePennyStocks to include sub-$1 movers.

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• delete_project

  CatchAll (by NewsCatcher)

  Delete a project. By default the project's resources (jobs, monitors, etc.) are detached but kept. Set `delete_resources=true` to also delete the contained resources.

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• stock_data_query

  Shibui Finance

  Stock prices, earnings, revenue, P/E, dividends, filings, screener, comparisons Run a SQL query against 64 years of US stock market data. REQUIRES calling get_database_schema then get_query_patterns first (in that order). This tool has no schema or query patterns built in. Call get_database_schema once, then get_query_patterns once, then use this tool. Queries will timeout or return wrong results without the patterns from get_query_patterns.

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• reporting_guide

  Senzing

  Guided reporting and visualization for Senzing entity resolution results. Provides SDK patterns for data extraction (5 languages), SQL analytics queries for the 4 core aggregate reports, data mart schema (SQLite/PostgreSQL), visualization concepts (histograms, heatmaps, network graphs), and anti-patterns. Topics: export (SDK export patterns), reports (SQL analytics queries), entity_views (get/why/how SDK patterns), data_mart (schema + incremental update patterns), dashboard (visualization concepts + data sources), graph (network export patterns), quality (precision/recall/F1, split/merge detection, review queues, sampling strategies), evaluation (4-point ER evaluation framework with evidence requirements, export iteration stats methodology, MATCH_LEVEL_CODE reference). Returns decision trees when language/scale not specified.

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