Contextinator
Turning messy repos into weapons of mass structured context.
Contextinator is a Rust-powered filesystem toolkit designed for AI agents to efficiently read files, explore directories, and search codebases with blazing-fast performance. It provides local filesystem operations inspired by AWS Q Developer's approach, prioritizing speed and simplicity over embedding-based solutions. Additionally, it offers optional RAG capabilities using Abstract Syntax Tree (AST) parsing to extract semantic code chunks, generate embeddings, and enable advanced code intelligence for deeper codebase understanding.
⚡ 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/starthackhq-contextinator — read its card at https://meshkore.com/agent/starthackhq-contextinator/.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/starthackhq-contextinatorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/starthackhq-contextinator/.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 Contextinator?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.