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Monitor, policy-check, and audit every AI agent tool call.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "com.agenticcontrolplane/acp-mcp-server" MCP server from askskill: Run: claude mcp add --transport http 'com-agenticcontrolplane-acp-mcp-server' 'https://api.agenticcontrolplane.com/mcp'
When teams run multiple AI agents, this helps centralize visibility into each tool call to prevent runaway behavior and hard-to-trace actions. It fits scenarios that need governance, cost visibility, and audit trails.
If agents trigger high-risk or sensitive tools, it can add policy checks at the call layer to control which actions may run.
When you need to know what an AI agent called, how much it cost, and whether it is auditable, this tool provides a unified record view.
It is used to view, manage, and control every tool call made by AI agents, with a focus on policy checks, cost, and auditing. Based on the provided description, it is an MCP service for an agent control plane.
The provided information does not specify installation, runtime, or key requirements. See the source repository for exact prerequisites.
It is not just logging; it emphasizes policy checks, cost visibility, and audit control over AI agent tool calls. Compared with a regular logging tool, it is more focused on runtime governance.
Audit MCP servers and AI packages for security and supply chain risks.
Enforce policy checks on AI tool calls without exposing system credentials.
Build AI agent workflows and automate tasks using MCP-connected services.
Secure AI agents locally with cost controls, injection blocking, and action approvals.
Enable AI agents to communicate, route messages, and collaborate through MCP.
Add agentic tools with iterative reasoning and tool use to apps