"Lottery games and results" matching MCP servers:

A Model Context Protocol server for querying and analyzing double-color ball (双色球) lottery historical data from 2013 to present, offering tools for data retrieval, statistical analysis, and reference number generation.

Give AI agents cited funding, money-market, FX and capital-market evidence through 16 public MCP tools. Keep source dates, freshness checks and coverage gaps attached; China macro coverage is metadata-only. No API key is required for the public surface. Research context only; no trade execution.

Provides tools for managing quantitative research knowledge graphs, enabling structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results.

Classifies company sites as B2B or B2C and as SaaS, online store, agency, manufacturer, wholesaler, distributor, or marketplace, while matching your own buyer phrases and returning the quoted text and page as evidence. Runs deterministically on Apify, giving one row per domain with grace-free status rows for unreachable, blocked, or empty sites.

Enables agents to compute cross-verified natal charts, verify ascendants from other tools, and inspect historical timezone data, while refusing to return unverifiable results.

Enables querying YouTube gaming opportunity rankings to answer 'what should I record?' by providing tools for top games, game breakdowns with AI video ideas, and live topic checks.

NHL hockey data MCP server. 12 tools covering games, standings, player stats, goalie stats, odds, line movement, and matchup analysis across 16 seasons.

Enables MCP clients to screen lab results against published criteria with deterministic Python, search Australian contaminated-land guidance with cited passages, and draft guarded results sections whose numbers and citations are validated. All four tools are read-only and keep figures and citations under code control for a qualified person to check.

Given a company domain or name, it checks ten app marketplaces — HubSpot, Salesforce AppExchange, Slack, Zapier, Shopify, Atlassian, Chrome Web Store, Microsoft, Google Workspace, and WordPress — to report where the company is listed, with each listing's URL, installs, rating, review count, and match confidence. Useful for competitive research and partner-ecosystem audits across many domains in a single run.

Enables gender inference from names, email addresses, and usernames, returning probability, sample size, source, and optional country-weighted results.

Enables users to pull portfolio company lists from Y Combinator, a16z, Sequoia, Accel, and other investors or any portfolio page URL, returning one row per company with name, domain, website, description, and stage or batch. Runs on Apify and produces Clay-ready output, with YC results filterable by batch, industry, region, status, and search terms.

A hosted MCP server that returns DuckDuckGo search results as structured JSON, with ranked organic results, separate ads, AI answers, and 37 region/language targets for any MCP client.

Enables MCP clients to perform live Google searches and retrieve structured SERP data including organic results, AI Overviews, People Also Ask, AI Mode answers, news, shopping, and short-video results via eight read-only tools.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

Enables running Simulatte's 26 research SKUs (concept testing, pricing, etc.) from any MCP-compatible AI client, returning structured JSON results.

Enables turning a research topic keyword or OpenAlex topic ID into ranked institutions and authors, including identifiers, citation metrics, h-index, and newest papers, with optional filters for year, country, and institution type. It runs the analysis on Apify and returns dataset rows to MCP clients.

Enables querying NBA and WNBA player-prop model picks, the daily board, public track record, games, and player search through the nbaproplab.com REST API, with optional API-key tools for backtests, pick evaluation, and player research. All tools are read-only and most require no authentication.

Enables AI agents to search recent news worldwide by topic, country, and language, offering ranked results with relevance scores, article excerpts, content retrieval, similar-story discovery, and coverage checks.

MCP server that provides access to screener.in financial data for Indian stocks, enabling queries for company info, financials, ratios, quarterly results, shareholding, and stock screening.

Connects AI agents to the Outset research platform for creating studies, managing recruitment, and querying results via the Model Context Protocol.

Exposes the Adaptyv Foundry protein characterization API as MCP tools, enabling AI assistants to interact with experiments, targets, sequences, and results in natural language.

Enables retrieval of satellite vegetation statistics (NDVI) and searches of Sentinel-2 scene catalogs, returning results as JSON.

Enables AI assistants to query read-only US power market data, including plant generation, emissions, ownership and offtake, plus ISO node and hub prices and basis across seven markets, with sourced results.

Unified MCP server for discovering open datasets across Hugging Face, Zenodo, and Kaggle, with ranked search results and one-click Colab starter code generation.

Enables searching Elsevier's Scopus database for scientific literature, retrieving abstracts and metadata, and exporting results in RIS or BibTeX format.

Enables natural language access to NFL data, including play-by-play with EPA, player and team stats, injuries, depth charts, and closing lines for games since 1999.

Enables searching Google Scholar for academic papers, citations, and author profiles, returning structured JSON results including titles, authors, citation counts, abstracts, and PDF links.

MCP server for accessing the LungMAP API, enabling AI assistants to discover and analyze lung research data such as datasets, samples, and analysis results.

MCP server for analyzing China's 福彩3D lottery data with deterministic math engines, forward-testing, and safety checks. Enables data import, statistical testing, coverage optimization, risk control, and optional LLM interpretation.

Enables AI agents to search scholarly literature across Semantic Scholar, OpenAlex, arXiv, OpenReview, and CORE through one compact, rate-limit-aware interface, merging and de-duplicating results into a single list.