Metrx MCP Server — AI agent cost intelligence tools for LLM agents. Track spend, optimize models, manage budgets, detect waste, and prove ROI.
Metrx MCP Server — AI agent cost intelligence tools for LLM agents. Track spend, optimize models, manage budgets, detect waste, and prove ROI.
This starts the server with sample data so you can explore all 23 tools instantly.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| metrx_get_cost_summary | Comprehensive cost summary — total spend, call counts, error rates, and optimization opportunities |
| metrx_list_agents | List all agents with status, category, cost metrics, and health indicators |
| metrx_get_agent_detail | Detailed agent info including model, framework, cost breakdown, and performance history |
| metrx_get_optimization_recommendations | AI-powered cost optimization recommendations per agent or fleet-wide |
| metrx_apply_optimization | One-click apply an optimization recommendation to an agent |
| metrx_route_model | Model routing recommendation for a specific task based on complexity |
| metrx_compare_models | Compare LLM model pricing and capabilities across providers |
| metrx_get_budget_status | Current status of all budget configurations with spend vs. limits |
| metrx_set_budget | Create or update a budget with hard, soft, or monitor enforcement |
| metrx_update_budget_mode | Change enforcement mode of an existing budget or pause/resume it |
| metrx_get_alerts | Active alerts and notifications for your agent fleet |
| metrx_acknowledge_alert | Mark one or more alerts as read/acknowledged |
| metrx_get_failure_predictions | Predictive failure analysis — identify agents likely to fail before it happens |
| metrx_create_model_experiment | Start an A/B test comparing two LLM models with traffic splitting |
{
"mcpServers": {
"metrx": {
"command": "npx",
"args": [
"@metrxbot/mcp-server"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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