Distill Mcp vs Chisel

Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.

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D
Distill Mcp
juergenkoller-software
📂 File Systems
C
Chisel
ckanthony
📂 File Systems
SummaryMCP bridge for Distill — AI file renamer that analyzes content (PDF/OCR/Office/email/media) and renames files with descriptive names. Five AI providers (Claude, OpenAI, Gemini, Ollama, Apple Intelligence), pay-per-use credits, folder monitoring, 9 MCP tools.Reduce context usage on file use. Send only unified diffs instead of full files (up to 20-100× fewer tokens), and read large files with targeted grep/sed instead of full reads (up to 500×). Kernel-enforced path confinement hard-locks the agent to a configured root: no accidental reads or writes outside scope. Standalone for your file access or embed in any MCP server (Rust, Node.js, Python via WASM).
Quality signal23/100 (Emerging)29/100 (Emerging)
Install pathnpx · lowuvx · low
Engagement 1 0 0 2 0 0 17
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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