$ loading_
Encode business policies as executable rules for deterministic multi-agent decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OOSDK MCP Server" yet — see the docs or source repo.
Based on the following business policy, design an executable approval decision rule set and explain conditions, priorities, and output actions: purchases above 100,000 require finance review, security software requires security team approval, and urgent purchases can use an expedited path but must be logged.
A structured business rule definition with conditions, decision flow, and approval actions.
Design a multi-agent collaboration workflow for customer complaint handling involving support, risk control, and legal roles. Each role should have clear responsibilities, traceable decision paths, and no duplicated work.
A multi-role workflow plan including responsibilities, triggers, state transitions, and traceability mechanisms.
The current order risk policy needs updating: orders from high-risk regions should no longer be auto-rejected but sent to manual review; VIP customer orders can be downgraded by one risk level. Provide a policy update plan and explain its impact on the current decision flow.
An actionable policy update specification with impact analysis on decision logic and collaboration flow.
Enable web search and extensible microservice tools for LLM agents.
Give MCP-compatible AI agents persistent memory, goal tracking, and background monitoring.
Lets AI agents query, explore, and manage ontologies for structured knowledge work.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Manage, version, and query a governance-grade Markdown knowledge base.
Scale MCP task execution across nodes with auth and real-time streaming.