structured-data
13 servers · 290★ total
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
The AI-native wire format for structured data. 100% comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ lossless round-trips across 17 formats. Spec v3.4 Stable.
AI-powered web scraping and structured data extraction. CLI + MCP server + Claude Code plugin for the Thunderbit Open API.
MCP server for Google's free public Knowledge Graph Search API - search for structured entity information about people, places, organizations, and concepts
Remote MCP server and Agent Skill for recent public X (Twitter) posts, structured JSON, and accountless x402 v2 USDC payments on Base.
MCP proxy: zero-code GCF adoption. Wraps any MCP server, converts JSON to GCF mid-flight. 53-71% fewer tokens. Works with any structured data.
Write your page once — AHTML emits MCP, OpenAPI, JSON-LD & llms.txt for AI agents from your existing Next.js, Vite or SvelteKit app. Zero migration. MIT.
A template for building structured, self-healing, agent-accessible knowledge bases. Zero dependencies. Git-native. Ontology-driven. Multi-output.
GCF Python implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.
GCF Rust implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.
GCF Go implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.
GCF TypeScript implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.
Mark Siazon — product designer & full-stack developer. A GitHub profile built for humans and machines: JSON-LD structured data, LLM-readable context files, an MCP server, and automated stats & freshness pipelines.