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Manage agent credentials, spending, approvals, and audit trails safely.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "ai.marchward/mcp-server" MCP server from askskill: Run: claude mcp add 'ai-marchward-mcp-server' -- npx -y @marchward/mcp-server
Design a runtime control setup for our internal AI agent: store API keys in the MCP server, limit each task to a $20 budget, require human approval above the cap, and keep a complete audit log.
A runtime control plan covering credential mediation, budget limits, approval rules, and audit logging.
I want an AI agent to require approval before any write action in production. Explain how to configure approval gates, define allowed actions, and track failures with this MCP tool.
A configuration recommendation for high-risk controls, including approval flow, permission boundaries, and auditing.
Plan credential management for a multi-agent system: different agents access different services, credentials must not be exposed to the model, every call must be traceable, and spending caps should be set per agent.
A multi-agent credential governance plan with credential isolation, traceability, and per-agent spending controls.
Enable enterprise auth, token validation, and access control for AI agents.
Securely authorize AI agents to sign up for SaaS dev tools within budget limits.
Protect MCP-connected agents with PII redaction, rate limits, and policy enforcement.
Govern and audit AI agents with safety checks, reasoning, and session controls.
Audit AI agent permissions by scanning credential, injection, and reach risks.
Add OAuth auth, scope enforcement, and delegation auditing to MCP agents.