Agent Observability
LocalAbout Agent Observability
Agent observability: structured logging, cost tracking, and compliance audit trails
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y agent-observability-mcpAGENT_OBS_API_KEYSecretAPI key for the Agent Observability service (get one at POST /v1/register)AGENT_OBS_API_URLURL of the Agent Observability API (defaults to https://api-production-0c55.up.railway.app)Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
3Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| agent_id | string | No | Identifier for the agent generating this log |
| metadata | object | No | Structured metadata: provider, cost_usd, latency_ms, tokens_used, model, etc. |
| severity | enum | No | Event severity level (default: info)debug | info | warning | error | critical |
| event_type | string | Yes | Type of event: 'api_call', 'decision', 'transaction', 'error', 'state_change' |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.