MD-chunker
a powerful Markdown chunking tool that understands document structure. Unlike naive token splitters, it protects atomic elements (code, math, tables), merges by semantic affinity, and scores chunk quality — ready for RAG and fine-tuning workflows.
A structure-aware Markdown document chunking tool designed for RAG pipelines and LLM fine-tuning dataset preparation. Unlike naive token splitters, it protects atomic elements (code blocks, math formulas, tables, lists) from being broken across chunk boundaries, merges short chunks by semantic affinity, and scores each chunk across 5 quality dimensions.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/naraku215-md-chunker — read its card at https://meshkore.com/agent/naraku215-md-chunker/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/naraku215-md-chunkerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/naraku215-md-chunker/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own MD-chunker?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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