Mcp Server Agent Analytics
Wire your coding agent into fleet-wide token spend, latency, error spikes, and anomaly views without building a custom dashboard first.
Overview
io.github.joepangallo/mcp-server-agent-analytics is an MCP server for the Grow phase that exposes AI agent fleet performance, cost, anomaly, and trend data to your coding agent.
What is this MCP server?
- Track AI agent fleet performance metrics and trends over time
- Surface cost attribution and spend patterns across agent workloads
- Detect anomalies in usage, failures, or latency for fleet review
- Stdio MCP transport via npm package mcp-server-agent-analytics v1.1.1
- Designed for builders running multiple agents or automated coding pipelines
- Server schema version 1.1.1
- Single npm package with stdio transport
- Published identifier mcp-server-agent-analytics on npm registryType
What problem does it solve?
You are running agents in production but cannot see fleet-wide spend, slowness, or failure spikes without leaving the agent to dig through logs and invoices.
Who is it for?
Indie builders operating more than one agent workflow who want conversational access to performance and cost rollups.
Skip if: Teams that need a full SaaS APM suite with alerts, SLOs, and on-call paging without any local analytics backend.
What do I get? / Deliverables
Your agent can pull fleet analytics and trend signals on demand so you catch costly or broken runs before they compound.
- MCP-accessible fleet performance and trend queries from your agent
- Cost and anomaly signals surfaced in agent-driven reviews
- Repeatable analytics checks before scaling agent usage
Recommended MCP Servers
Journey fit
After you ship agents to real users, the bottleneck shifts from feature velocity to knowing whether runs are healthy and affordable—this server targets that compounding phase. Analytics is the canonical shelf for cost and performance rollups across many agent sessions, distinct from one-off debug in operate/errors.
How it compares
MCP analytics bridge for agent fleets, not a standalone observability dashboard product.
Common Questions / FAQ
Who is mcp-server-agent-analytics for?
Solo and indie builders who ship AI agents and want their coding assistant to read fleet performance, costs, anomalies, and trends through MCP.
When should I use mcp-server-agent-analytics?
Use it in the Grow phase once agents run regularly and you need to monitor spend, reliability, and trend shifts without manual spreadsheet work.
How do I add mcp-server-agent-analytics to my agent?
Install the npm package mcp-server-agent-analytics, register the server in your agent’s MCP config with stdio transport, and follow the agent-analytics repo setup for your data source.