"Understanding Cline Rules Automation" matching MCP connectors:
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Customer support answers, refund rules, and escalation limits for AI assistants
Desk keeps a support team’s approved answers, refund rules, and escalation limits, then lets an assistant read that policy before it replies. A 14-day trial, then Pro. The price is only at checkout.
Search, inspect and inject full source modules (code + AI rules + MCP) pinned to a Git commit.
No-code databases, forms, portals and AI sites. Manage records and automation via natural language.
Team memory for coding agents: rules you approve, served to every agent, and which ones it cited.
DM is shared context for human + AI teams. Before a task, a connected agent asks DM for the approved Rules, Skills and Decisions that apply, within a token budget and with the reason each one applies. After the task, the agent submits what it learned as a proposal, and a person decides what becomes shared. Approved context is reused on later tasks without waiting for a new approval. Connect with just the URL: DM supports OAuth discovery and dynamic client registration, so there's no client ID or
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
The second brain your AI agents share. It builds itself from your work and keeps itself current.
