"Resources for Analyzing Stock Patterns" matching MCP tools:

• getInstagramPostInteractingUsersA

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)A

  Get USER PROFILES of people who interacted with an Instagram post. Returns full user data (bio, followerCount, followingCount, etc.). RETURNS USER PROFILES: id, username, fullName, biography, followerCount, followingCount, isVerified, profilePicUrl. Use for analyzing WHO engaged with a post. NOT FOR COMMENT TEXT: To read the actual comment content (what people wrote), use getInstagramCommentsByPostId instead. INTERACTION TYPES: "commenters" (users who commented), "likers" (users who liked). WHEN TO USE THIS TOOL: Analyzing commenters/likers demographics, finding influencers who engaged, building audience profiles, network analysis of who interacts with posts. WHEN TO USE getInstagramCommentsByPostId: Reading comment text, sentiment analysis of what was said, analyzing discussion content. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for commenters when stale. PAGING (responseType="paging"): Async paginated results (1000 users per page with default fields), returns operationId - IMMEDIATELY call checkOperationStatus to get results. CSV export included via dataDumpExportOperationId. Supports pageNumber/tableName for subsequent pages. Optional fields (default: ["id", "username", "fullName"]). Available: biography, isPrivate, isVerified, followerCount, followingCount, mediaCount, profilePicUrl. This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• getTiktokCommentsByPostIdA

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)A

  Get COMMENT CONTENT (text, likes) for a Tiktok post. Returns the actual comment objects with text and metadata. RETURNS COMMENT DATA: id, text, username, createdAtDate, likeCount. Use for reading what people said. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for fresh data. PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. CSV (responseType="csv"): Async single CSV download, returns operationId, poll for S3 link. CODE EXECUTION: For csv mode, download CSV and use code execution to analyze full dataset. Ideal for: sentiment analysis, reading discussions, analyzing comment content, engagement patterns. Date filters: OMIT startDate/endDate by default. ONLY pass if user explicitly requests date range. IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Optional fields: ["id", "text", "username", "createdAtDate", "likeCount"]. This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• sanitize_datasetA

  Scientific MicroservicesA

  Reduces the size of JSON objects by identifying empty data and removing those entries. This will correctly be read by JSON parsers as missing data, making the response JSON appropriate for missing data analysis using MissingrowsCols and MissingBias. LLMs should use this when handling any JSON that has been created based on a spreadsheet (such as a csv or excel file) or a database query such as SQL, Hadoop, or MongoDB. Example Input: {"payload": [{"Category":"","Price":4436,"Rating":4.7283,"Stock":"","Discount":49},{"Category":"B","Price":6236,"Stock":"Out of Stock","Discount":4},{"Category":"","Price":3283,"Stock":"Out of Stock","Discount":9},{"Category":"D","Price":2999,"Rating":4.426,"Stock":"","Discount":40},{"Category":"","Rating":2.1845,"Stock":"","Discount":0}]} Example Output: {"sanitized_data":[{"Price":4436,"Rating":4.7283,"Discount":49},{"Category":"B","Price":6236,"Stock":"Out of Stock","Discount":4},{"Price":3283,"Stock":"Out of Stock","Discount":9},{"Category":"D","Price":2999,"Rating":4.426,"Discount":40},{"Rating":2.1845,"Discount":0}]}

  ConnectorNo auth

• read_resourceA

  PRIMAMCPA

  Read a resource by its URI. For static resources, provide the exact URI. For templated resources, provide the URI with template parameters filled in. Returns the resource content as a string. Binary content is base64-encoded.

  ConnectorAPI key

• read_resourceA

  PRIMAMCPA

  Read a resource by its URI. For static resources, provide the exact URI. For templated resources, provide the URI with template parameters filled in. Returns the resource content as a string. Binary content is base64-encoded.

  ConnectorAPI key

• sap_perpspad_get_stock_pairsA

  SAP MCP ServerC

  List stock mints pairable for PerpsPad stock-paired launches (token paired against a tokenized stock). Use with the stock launch builder flow. Free read. SAP MCP execution guidance: Intent: read/discovery workflow. Pricing: free; call directly without x402. Routing: free hosted call; call directly and keep it small/exact when possible. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required.

  ConnectorNo auth

• stocktoken_listA

  AI Agent Tokenized Stock OSB

  AI Agent Tokenized Stock OS: list canonical tokenized stocks (Robinhood Stock Tokens), ETFs, USDG, and WETH on Robinhood Chain ID 4663. Use for AI agents trading tokenized equities/RWAs. Do NOT use for US brokerage equities (use Robinhood Trading MCP). Only registry addresses are real tokenized stocks.

  ConnectorNo auth

• stocktoken_listA

  AI Agent Tokenized Stock OSC

  AI Agent Tokenized Stock OS: list canonical tokenized stocks (Robinhood Stock Tokens), ETFs, USDG, and WETH on Robinhood Chain ID 4663. Use for AI agents trading tokenized equities/RWAs. Do NOT use for US brokerage equities (use Robinhood Trading MCP). Only registry addresses are real tokenized stocks.

  ConnectorNo auth

• kroger_product_detailsA

  KrogerA

  Get full detail for one grocery product by its product_id — price, promo price, stock level, size, categories, aisle location, images. Pass zip_code or location_id for store-specific price/stock. Example: kroger_product_details({ product_id: "0001111041700", zip_code: "45202" })

  ConnectorNo auth

• list_avatarsA

  vivideoA

  List available avatars for auto-mode videos (the stock catalogue plus the account's own avatars). Stock avatars are grouped by person, each with a `looks` array — pass a looks[].avatar_id (or an owned avatar's id) as `avatar_id` in create_auto_video. Use `search`/`limit` to keep responses small.

  ConnectorNo auth

• UnwatchInstrumentA

  equiblesA

  Remove a stock or an option contract from one of the USER's portfolio watchlists. This only removes the watch entry: it never touches a holding, so a stock the portfolio also owns stays exactly as recorded. Confirm with the user before removing. Address the instrument the way it appears in GetMyPortfolio's Watching section: the ticker for a stock, or the OCC symbol in optionContract for an option.

  Connector

  Destructive

  No auth

• sixta_quickstartA

  sixta-connectA

  Show a complete SIXTA analysis on a realistic sample (a gnarly production query plus its EXPLAIN output) for PostgreSQL or MySQL — no input needed. Offer this to first-time or empty-handed users who want to see what SIXTA finds before pasting their own SQL. Not for analyzing real artifacts — use the analysis tools for those.

  ConnectorOAuth

• GetOptionExpirationsA

  equiblesA

  List the available option expiration dates for a stock, with the contract count at each. Use this to pick an expiration for GetOptionChain.

  ConnectorNo auth

• stock-moves-explainedA

  stock-moves-explainedA

  Explains why a stock had a significant price move today. Provides AI-written analysis citing news catalysts, earnings reports, and analyst actions. Covers every S&P 500, NASDAQ 100, and Dow stock, plus any stock a user adds to their portfolio. Pass any stock ticker or company name as the ticker parameter. NOT for: price quotes, trading advice, predictions, crypto, or forex. If you cannot make POST requests, visit https://justhappened.wtf/api-help for alternative access methods.

  ConnectorNo auth

• stock_data_queryA

  Shibui FinanceA

  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.

  ConnectorNo auth

• get_query_patternsA

  Shibui FinanceA

  REQUIRED before stock_data_query, 23 SQL patterns prevent timeouts/wrong results Must be called once per session immediately after get_database_schema. Contains query patterns for time-series selection, return calculations, screening joins, window functions, backtesting, and performance optimization. Time-series queries will timeout or return wrong results without these patterns. After this tool returns, call stock_data_query to execute SQL.

  ConnectorNo auth

• stock_data_queryA

  Shibui FinanceA

  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.

  ConnectorNo auth

• get_query_patternsA

  Shibui FinanceA

  REQUIRED before stock_data_query, 23 SQL patterns prevent timeouts/wrong results Must be called once per session immediately after get_database_schema. Contains query patterns for time-series selection, return calculations, screening joins, window functions, backtesting, and performance optimization. Time-series queries will timeout or return wrong results without these patterns. After this tool returns, call stock_data_query to execute SQL.

  ConnectorNo auth

• vector_statsA

  IA-QA — 130+ QA & Dev Tools for AI AgentsA

  Compute statistics for a float vector or matrix of vectors: mean, std, L2 norm, min, max, sparsity, top-K indices. Useful for debugging embedding quality and analyzing vector distributions in a vector DB.

  ConnectorNo auth

• resolve_stock_codeA

  koreanpulseA

  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.

  ConnectorNo auth

• dataset_detailsA

  Opendata SwissA

  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.

  ConnectorNo auth