ai-netcafe
Verified · 21 days agoTables and ledgers checked by arithmetic, not by a model. 24 tools. MCP 2026-07-28 ready.
Clean Markdown and AI-readability scoring for any URL. Built for AI agents.
claude mcp add onto -- npx -y @ontosdk/[email protected]
Fetches web content as clean Markdown and adds AI-readability scoring for downstream agent use. It is best suited to developers building ingestion, summarization, or ranking pipelines that care about cleaner source text. The positioning is specific and plausible, though current adoption signals look limited and the scoring approach may need careful evaluation before using it as a quality proxy.
Tables and ledgers checked by arithmetic, not by a model. 24 tools. MCP 2026-07-28 ready.
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
MCP server for filesystem access
MCP server for terminal commands, file operations, and process management
Local-first knowledge management with bi-directional LLM sync via Markdown files.
Markdown knowledge base as agent memory. Runs against the notes directory it is started in.