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SakuttoWorks/README.md

Sakutto Works | Agent-First Data Infrastructure

Architecture Protocol Infrastructure

"Bridging the gap between Unstructured Web and LLM Context."

Technical Co-founder and Senior Lead Architect specializing in high-performance serverless ecosystems. I build "Agent-Commerce-OS", a production-ready BaaS (Backend-as-a-Service) that allows AI agents to securely access, format, and ingest structured web data via standardized protocols.

🚀 Flagship Project: Project GHOST SHIP

The Secure MCP Gateway for Autonomous Data Retrieval.

Project GHOST SHIP serves as a middleware layer that normalizes external web content into RAG-optimized formats (Markdown/JSON) for LLMs.

  • Layer A: The Edge Gateway (agent-commerce-gateway)
    • Low-latency SSE/MCP aggregation on Cloudflare Workers.
    • Security & Validation: Request sanitization, schema validation, and rate-limiting via Polar.sh infrastructure.
  • Layer B: The Normalization Engine (agent-commerce-core)
    • Semantic Extraction: Python 3.12+ environment on Google Cloud Run for parsing complex HTML.
    • LLM-Native Output: Converts raw HTML into clean Markdown using semantic parsing logic.
  • Layer C: The Data Vault (Supabase/R2)
    • Structured logging of tool execution results and transient cache storage.

🌍 Developer Hubs:

🛠 Active MCP & API Assets

Component Protocol Description
GHOST-SHIP-GATEWAY MCP / SSE Secure proxy for handling tool execution requests and schema validation.
AGENT-COMMERCE-CORE REST / JSON Core engine for web-to-markdown conversion and data structuring.
SEMANTIC-EXTRACTOR MCP / REST (Formerly V3) Domain-agnostic scraper for technical documentation and static sites.

🤖 Machine-Readable Resources

Optimized for AI Agents (AEO - Agent Engine Optimization).

  • llms.txt : Context definitions for LLM crawlers.
  • mcp.json : Dynamic tool definitions and endpoint discovery for MCP clients.

🛡 Engineering Principles (2026 Standard)

  • Zero-Trust Logic: Strict input validation at the edge; execution in isolated environments.
  • Semantic Naming: Every variable and endpoint is optimized for LLM self-documentation.
  • Schema Compliance: Strict adherence to predefined JSON schemas to prevent hallucinations.

© 2026 Sakutto Works - Building the Semantic Web for Agents

Popular repositories Loading

  1. SakuttoWorks SakuttoWorks Public

    Agent-Commerce-OS: Secure MCP infrastructure for RAG-optimized web data normalization and semantic extraction.

  2. agent-commerce-portal agent-commerce-portal Public

    The official documentation hub and discovery layer for Project GHOST SHIP's RAG data normalization infrastructure.

    HTML

  3. agent-commerce-core agent-commerce-core Public

    High-performance Python normalization engine for Agent-Commerce-OS. Handles semantic extraction, HTML parsing, and structured RAG output.

  4. agent-commerce-gateway agent-commerce-gateway Public

    Secure Edge Proxy and Governance Layer for Project GHOST SHIP. Handles request sanitization, protocol routing (MCP-SSE), and API quota management.

    TypeScript

  5. agent-commerce-examples agent-commerce-examples Public

    Official code samples and implementation patterns for Agent-Commerce-OS. Demonstrating RAG pipeline integration and data normalization SDKs.