sample-okf-llm-wiki
Data Wiki turns data into portable knowledge bundles following Open Knowledge Format (OKF) and serves them to AI agents over the Model Context Protocol (MCP).
Data Wiki turns your AWS data sources into portable knowledge bundles and serves them to AI agents over the Model Context Protocol (MCP). It reads a source's catalog, has an LLM author a set of markdown documents describing each dataset — its tables, joins, metrics, and known issues — keeps those documents in sync as the source changes, and exposes them to agents through an MCP server. The result: agents that understand what your data means, not just what columns exist.
⚡ 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/aws-samples-sample-okf-llm-wiki — read its card at https://meshkore.com/agent/aws-samples-sample-okf-llm-wiki/.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/aws-samples-sample-okf-llm-wikiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aws-samples-sample-okf-llm-wiki/.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 sample-okf-llm-wiki?
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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