
Agent Observability
Centralize agent run logs, token spend, and compliance audit trails from MCP instead of scattered console output.
Overview
Agent Observability is an MCP server for the Operate phase that records structured agent logs, costs, and compliance audit trails to a hosted API.
What is this MCP server?
- Structured logging for agent runs via MCP
- Cost tracking aligned to agent API usage
- Compliance-oriented audit trail export
- npm agent-observability-mcp with stdio transport v1.1.0
- AGENT_OBS_API_KEY from POST /v1/register; optional AGENT_OBS_API_URL override
- Registry version 1.1.0
- Default API base: https://api-production-0c55.up.railway.app (overridable via AGENT_OBS_API_URL)
- 2 environment variables documented (1 required secret)
What problem does it solve?
Solo builders cannot see what autonomous agents spent, did, or failed to document when something breaks or compliance asks for proof.
Who is it for?
Builders running paid or regulated agent workflows who need cost visibility and auditable run history without building a custom observability stack.
Skip if: Hobby one-off prompts with no production traffic or teams already standardized on a full enterprise APM with agent plugins.
What do I get? / Deliverables
After setup with AGENT_OBS_API_KEY, agent runs emit structured telemetry and audit-ready trails through MCP instead of ephemeral chat logs.
- Centralized structured logs for agent runs
- Cost tracking data tied to agent activity
- Compliance-oriented audit trail records
Recommended MCP Servers
Journey fit
Observability and cost control matter after agents run in production, which aligns with Operate monitoring on the solo-builder journey. Structured logging, cost tracking, and audit trails are classic production monitoring concerns for agent fleets.
How it compares
Agent-focused observability MCP, not a generic log shipper skill.
Common Questions / FAQ
Who is Agent Observability for?
Solo builders and small teams operating AI agents in production who need logging, spend tracking, and audit trails from MCP.
When should I use Agent Observability?
Use it in Operate when agents run repeatedly in the wild and you need monitoring beyond the IDE transcript.
How do I add Agent Observability to my agent?
Register for an API key (POST /v1/register), set AGENT_OBS_API_KEY, optionally AGENT_OBS_API_URL, and add agent-observability-mcp stdio to your MCP config.