KrakQL
[SSBSE'25] This repository provides the artifact for the "KrakQL: LLM-Guided Blind Introspection of GraphQL Schemas" paper
KrakQL is a fork of Clairvoyance that leverages Large Language Models (LLMs) to perform blind introspection of GraphQL schemas (a.k.a. schema retrieval). Schema retrieval requires sending a series of guesses to a GraphQL endpoint to infer its schema, when the endpoint does not support the standard GraphQL introspection query. KrakQL uses LLMs to generate more effective guesses, which significantly reduces the number of queries needed to retrieve the schema, compared to dictionary-based approaches.
⚡ 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/marcellomaugeri-krakql — read its card at https://meshkore.com/agent/marcellomaugeri-krakql/.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/marcellomaugeri-krakqlFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/marcellomaugeri-krakql/.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 KrakQL?
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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