Michael-Obele/tomoshibi helps connect AI assistants to real tools and data through a standard protocol

Описание и применение

Michael-Obele/tomoshibi: open-source проект в категориях MCP, AI/ML, Documents, Frontend, Backend. Практическое применение: connect AI agents to tools; ship Model Context Protocol servers. Уровень готовности: подходит для прототипа или внутреннего workflow, перед production нужна ручная проверка.

Задача

Michael-Obele/tomoshibi helps connect AI assistants to real tools and data through a standard protocol.

Результат

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Рабочий процесс

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Доказательства

Tomoshibi is a self-hosted search & scraping server for AI agents, built with Go. It turns any site into LLM-ready markdown in 200ms. One binary, $5/mo. API-compatible with Firecrawl's schema. Formerly Cinder.

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