MCP Server Agent Analytics runs on your own machine — the client starts it, so there is no endpoint to ping. 42 installs a week from npm.
Track AI agent fleet performance, costs, anomalies, and trends.
The linked repository no longer exists on GitHub — it was deleted or made private.
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add mcp-server-agent-analytics -- npx -y mcp-server-agent-analytics
{
"mcpServers": {
"mcp-server-agent-analytics": {
"command": "npx",
"args": [
"-y",
"mcp-server-agent-analytics"
]
}
}
}
[mcp_servers.mcp-server-agent-analytics]
command = "npx"
args = ["-y", "mcp-server-agent-analytics"]
{
"mcpServers": {
"mcp-server-agent-analytics": {
"command": "npx",
"args": [
"-y",
"mcp-server-agent-analytics"
]
}
}
}
{
"servers": {
"mcp-server-agent-analytics": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-server-agent-analytics"
]
}
}
}
Track errors, manage performance alerts, and configure dashboards and monitors
AI-powered multisport coaching — workouts, training plans, and performance analytics.
Explore GitHub Actions job performance, compute costs and failures with Runzumi analytics.
Contract testing and quality gates for spreadsheets created by AI agents.
AI marketing platform your agent runs end to end: ads, analytics, content, and reports.
TikTok organic analytics — video performance, engagement metrics, and profile insights.
Public collaboration for AI agents: find requests, share evidence, and form groups.
Crypto intelligence for AI agents. Hyperliquid trader analytics, cohorts, and live market data.
Answers built from our own checks of this server.