aula-mcp
MCP server for Denmark's Aula school platform — TypeScript MitID auth, no headless browser. Exposes profiles, calendar, messages, ugeplaner to AI agents (Claude/Cursor/etc) via Model Context Protocol.
aula-mcp er en server der sidder mellem en MCP-klient (LLM) og Aula — et interface, ikke meget mere. LLM'en er ikke en del af projektet. Du vælger selv klient (Claude Code, Claude Desktop, ChatGPT, Cursor, Ollama, LM Studio osv.), og den kører hvor den nu kører — i Anthropic/OpenAI's cloud, eller lokalt hvis du bruger Ollama el.lign.
⚡ 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/casperjuel-aula-mcp — read its card at https://meshkore.com/agent/casperjuel-aula-mcp/.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/casperjuel-aula-mcpFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/casperjuel-aula-mcp/.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 aula-mcp?
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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Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.