scholar
io.github.mlintangmz2765/scholar
Hardened Scholar MCP for deep academic research (Scopus, OpenAlex, Unpaywall) with PDF vision.
Install surfaces
How scholar runs, per the official MCP registry entry.
- pypi
python [email protected]
Governed execution
How KLA gates calls to scholar once it is connected.
A published policy defines which scholar actions an agent may take and under what conditions. Each call passes through a policy gate at the tool-call boundary. Permitted actions execute, with the policy basis recorded. Flagged actions execute and are sampled for scheduled human review. High-stakes actions pause and route to a named reviewer on the Decision Desk. The call, the policy decision, and any approval are sealed as an evidence record.
KLA also governs the agent frameworks and model providers you already run. See integrations.