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MCP Tracker
MCP server
MCP tracker server - monitor.py
Supposed to pull metrics, logs, provide debugging suggestions
In user MCP, add function to record metric -
def record_metric(server_name: str, metric_name: str, value: float, unit: str = "", tags: dict[str, Any] = {}) -> str:
supabase.table("mcp_metrics").insert({
"server_name": server_name,
"metric_name": metric_name,
"value": value,
"unit": unit,
"tags": tags
}).execute()
Record metric from mcp.tool function as -
# Send temperature as metric
record_metric(
server_name="weather-mcp",
metric_name=f"forecast_temp_{name}",
value=temp,
unit=unit,
tags={"wind": wind, "description": desc}
}
Streamlit dashboard for metrics
To run -
streamlit run dashboard.py
Open http://localhost:8501 to view metrics dashboard
