If you're running multiple AI agents and need to understand where your API costs are going, this server gives you a cost center for your fleet. It tracks spend per agent, team, or project by logging LLM and tool calls against a built-in pricing table covering Claude, GPT, Gemini, and DeepSeek models. You can set budget caps with warn or block thresholds, pull cost breakdowns showing model-level detail and percentages, and surface anomalies when an agent's spending spikes above 2x normal. The fuzzy model name matching means you don't need exact strings, and the compare_models tool shows you cost per 1K tokens across everything you're using. Useful when you need attribution and guardrails across a multi-agent system.
claude mcp add --transport stdio io.github.mdfifty50-boop-agent-costcenter -- npx -y agent-costcenter-mcp