TalentLMS
io.github.mindstone/mcp-server-talentlms
TalentLMS MCP server: users, courses, groups, branches, reporting, and assessments
Install surfaces
How TalentLMS runs, per the official MCP registry entry.
- npm
npx @mindstone/[email protected]
Governed execution
How KLA gates calls to TalentLMS once it is connected.
A published policy defines which TalentLMS 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.