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Provide a zero-secret MCP gateway with risk scoring, auditing, and human approval.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "IdentArk Gateway" MCP server from askskill: Run: claude mcp add --transport http 'io-identark-gateway' 'https://api.identark.io/v1/mcp/rpc'
Connect my AI agent to IdentArk Gateway, enable human approval for high-risk MCP calls, and keep a complete audit trail.
An integration and control plan explaining how to intercept, approve, and audit high-risk calls.
Help me design a policy with IdentArk Gateway: allow low-risk calls automatically and send medium/high-risk calls to review.
A suggested risk-tiering workflow covering both auto-approval and human review paths.
I want to audit my AI agent's MCP calls with IdentArk Gateway. List the audit fields and review process I should focus on.
An audit checklist centered on call records, risk scores, and approval outcomes.
Developers or DevOps teams can use it to add risk scoring, auditing, and human approval to AI agents that call MCP tools. This improves control over agent actions without exposing secrets.
When an AI agent may perform sensitive or high-impact actions, teams can route high-risk calls into human review through this gateway. It fits cases that need a balance between automation speed and security oversight.
It is an MCP gateway for AI agents focused on zero-secret access, risk scoring, audited calls, and human-in-the-loop approval. It is useful for adding security and governance to agent tool usage.
Yes. The original description explicitly mentions human-in-the-loop approval, indicating that manual approval is one of its core capabilities.
The provided material does not include installation steps, runtime details, or dependency requirements. For exact prerequisites and deployment instructions, see the source repository.
Provides compliance guardrails for AI agents to operate safely within regulations.
Help AI agents discover and run enterprise tools securely.
Securely expose OpenAPI endpoints as MCP tools with auth, limits, and auditing.
Add OAuth auth, scope enforcement, and delegation auditing to MCP agents.
Verify and manage AI agent identity trust for safer agent operations.
Enforce policies, require approvals, and audit MCP tool calls.