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Provide governed, auditable, and idempotent agent execution for LLM workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nano-vm-mcp" yet — see the docs or source repo.
Use nano-vm-mcp to create a finite-state workflow for customer support tickets: intake, classify, draft reply, human approval, and send response. Make every step auditable, retry-safe, and idempotent.
A finite-state execution plan with state transitions, audit logging, and idempotency controls.
I have an AI agent that uses multiple tools. Design an execution gateway with nano-vm-mcp that records each decision, tool result, and exception handling step for audit and replay.
A traceable agent execution design describing log structure, event recording, and replay mechanisms.
Use nano-vm-mcp to design an execution mechanism for an order-processing agent that prevents duplicate charges or shipments during retries or concurrent triggers, and explain the idempotency strategy.
A safe execution plan for critical business actions, focusing on deduplication, retries, and idempotency guarantees.
Access confidential compute, inference, and an agent wallet over MCP.
Enforce permissions, approvals, sanitization, and audit for AI agent MCP calls.
Enforce policy checks on AI tool calls without exposing system credentials.
Securely expose OpenAPI endpoints as MCP tools with auth, limits, and auditing.
Add policy enforcement to stdio MCP servers and block denied tool calls.
Connect multiple MCP servers through one gateway for unified tool access.