Data Structures

An open standard for capturing the WHY in git history

When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," "indexing issues," "stuck on page 2," "striking distance keywords," "title tag rewrite," "low CTR," "local SEO," "Google Business Profile," or "map pack." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema. For AI search optimization, see ai-seo.

Intelligent Python system that extracts real estate property data as structured JSON using AI agents, Nebius Qwen LLM, and Bright Data MCP.

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

Turn plain English queries into structured web data, featuring automated markdown extraction and full JavaScript rendering for dynamic websites.

AI agent skill (Claude Code / Codex) for deterministic K-line structure analysis of A-shares, HK & US stocks: triple-barrier risk plans, 15-day normal volatility range, no-lookahead backtest, JSON + PNG + offline HTML from real market data. A股/港股/美股 K线结构识别与风控研究技能，真实行情、无前视回测。仅供研究，不构成投资建议。

An MCP server for public & prediction markets research. Ask natural-language questions and get structured, source-backed answers across SEC filings, earnings transcripts, company financials, stock & crypto market data, and prediction markets news & research. Built for investors, analysts, and researchers who need fast, cited intelligence.

A Claude Project skill system for disciplined, data-driven sports betting. One prompt → structured bet recommendation with EV%, unit sizing, and reasoning.

美股与全球市场数据工具包（给 AI 编程助手用）：官方源优先、零鉴权、标注合规级别 | US & global market data for AI coding assistants — zero-auth, official sources. CBOE options + 0DTE, VIX term structure, FINRA short data, SEC Form 4/13F, central-bank rates & FX, Taiwan exchanges, EIA energy, BLS US macro & jobless claims. 17 layers, 50+ endpoints, 18 sources, each compliance-tiered.

花叔开源的全球鸟类贴纸库 · AI-generated stickers for all 11,011 bird species in AviList v2026, CC BY 4.0, with names in 43 languages and structured data

AI can draw UI directly on the Figma canvas via JavaScript, and read existing designs back as structured data. Works with Claude Code, Cursor, VS Code, and Windsurf. No API KEY required.

Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.

MCP server for AI assistants to read and manage Coros fitness data: sleep, HRV, daily metrics, activities, and structured workouts via the unofficial Coros API

🦡 codebadger is a containerized Model Context Protocol (MCP) server that gives AI agents and LLMs deep, queryable access to a codebase's structure and data flow through Joern Code Property Graphs (CPGs).

🦡 codebadger is a containerized Model Context Protocol (MCP) server that gives AI agents and LLMs deep, queryable access to a codebase's structure and data flow through Joern Code Property Graphs (CPGs).

An agentic extractor for messaging platforms. Noria receives messages & URLs via chat; scrapes web data to evaluate the content against custom scoring matrices (e.g., jobs, scholarships); and sends a structured summary with a calculated match score directly to the assigned messenger number.

Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.

The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base

Adaptive Python web scraping toolkit + MCP server for AI agents. Self-healing selectors that survive site changes, TLS-fingerprint stealth to bypass anti-bot filters, CSS/XPath parsing, and 24 built-in scrapers, clean, structured, LLM-ready data from any URL.