opentrace

OpenTrace is a self-hosted observability/incident investigation server for AI coding agents. It ingests application logs/metrics via an SDK, connects read-only to Postgres for database investigation, runs health checks and alert watches, and exposes its capabilities to agents through MCP tools (no UI).

Evaluated Mar 30, 2026 (22d ago)
Repo ↗ Monitoring observability logging monitoring debugging mcp ai-agents self-hosted go postgres sqlite alerting
⚙ Agent Friendliness
72
/ 100
Can an agent use this?
🔒 Security
70
/ 100
Is it safe for agents?
⚡ Reliability
24
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
85
Documentation
75
Error Messages
--
Auth Simplicity
75
Rate Limits
80

🔒 Security

TLS Enforcement
90
Auth Strength
80
Scope Granularity
50
Dep. Hygiene
50
Secret Handling
70

README claims HTTPS via Caddy with automatic Let's Encrypt and that the server listens on localhost only. It describes rate limiting for auth endpoints, no telemetry/external calls, per-user revocable MCP tokens, and Bearer token auth for SDK ingestion. It also states Postgres access is validated as SELECT-only via SQL AST parsing with configurable timeouts/row limits. Dependency hygiene and precise secrets handling (logging/redaction) are not evidenced beyond claims; version/CVE status not provided.

⚡ Reliability

Uptime/SLA
0
Version Stability
35
Breaking Changes
20
Error Recovery
40
AF Security Reliability

Best When

You want an AI coding assistant to query your production signals (logs/errors/DB stats/health/alerts) via MCP, with everything hosted inside your environment.

Avoid When

You cannot allow agent access to production telemetry or to an internal MCP-connected service, or you require a conventional REST/GraphQL developer API rather than MCP tools.

Use Cases

  • AI-assisted log search and distributed trace assembly
  • Error grouping by fingerprint with stack traces and impact
  • Investigate slow queries using read-only Postgres introspection and EXPLAIN plans
  • Uptime monitoring via scheduled HTTP health checks
  • Create threshold alerts (e.g., error rate, latency, request volume)
  • Assess code/deploy risk by correlating commits with production behavior
  • Generate regression tests from production error data
  • Team management (invite, revoke tokens, audit logs)

Not For

  • Running as a managed SaaS (it is self-hosted)
  • High-availability/enterprise environments without validating operational readiness (no SLA stated)
  • Direct write access to production databases (DB access described as read-only)
  • Providing a public UI/dashboard to end users (explicitly no UI)

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
Yes
Webhooks
No

Authentication

Methods: Admin account created via connect script (first setup) Per-user MCP tokens stored in local .mcp.json Bearer token authentication for SDK log ingestion
OAuth: No Scopes: No

The README describes API key/Bearer token auth for ingestion and per-user MCP tokens; it does not describe OAuth or fine-grained OAuth scopes.

Pricing

Free tier: No
Requires CC: No

No pricing model described; appears self-hosted.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Agents may need to respect tool-level constraints such as SQL SELECT-only validation, row limits, and timeouts when using database tools.
  • Because the MCP server is described as self-hosted and locally configured via .mcp.json, agents must be connected to the correct project/token for team actions.
  • No explicit idempotency/retry guidance is provided in the README; agents should avoid assuming safe re-execution of state-changing operations (e.g., creating watches/users) without confirmation.

Alternatives

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Scores are editorial opinions as of 2026-03-30.

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