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Lucid Observability Agent

БесплатноНе проверен

MCP server for monitoring, diagnosing, and auto-correcting observability issues across platform services, integrating with Sentry and PostgreSQL for error track

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Описание

MCP server for monitoring, diagnosing, and auto-correcting observability issues across platform services, integrating with Sentry and PostgreSQL for error tracking and billing pipeline health.

README

MCP server and OpenClaw plugin for monitoring, diagnosing, and auto-correcting observability issues across platform services. Connects to Sentry for error tracking, PostgreSQL for OpenMeter billing pipeline health, and ships with AI-powered diagnosis, incident runbooks, and cross-service correlation.

Unlike the official Sentry MCP server (which is a pure API wrapper), this agent adds:

  • Root cause analysis --- pattern matching against error titles, stack traces, and platform-specific knowledge
  • Cross-service correlation --- traces errors across multiple services via trace_id / run_id
  • Billing pipeline monitoring --- outbox health, dead letter recovery, usage anomaly detection
  • Incident runbooks --- 10 error categories with 5-phase playbooks (triage -> diagnose -> mitigate -> resolve -> postmortem)
  • Alert rule generation --- suggests Sentry alert rules based on actual error patterns
  • Production readiness auditing --- validates env vars, conventions, and configuration

v3.0.0 --- Dual entry point architecture: works as both an MCP server (Claude Code / Claude Desktop) and an OpenClaw plugin with slash commands and heartbeat support.

Quick Start

As MCP Server (Claude Code)

Install from npm and run directly:

npx lucid-obs-agent

Or add to your MCP config (~/.claude.json or Claude Desktop settings):

{
  "mcpServers": {
    "observability": {
      "command": "npx",
      "args": ["lucid-obs-agent"],
      "env": {
        "SENTRY_AUTH_TOKEN": "sntrys_...",
        "SENTRY_ORG": "your-org",
        "DATABASE_URL": "postgresql://..."
      }
    }
  }
}

Or run from source:

{
  "mcpServers": {
    "observability": {
      "command": "npx",
      "args": ["tsx", "/path/to/lucid-observability-agent/src/bin.ts"],
      "env": {
        "SENTRY_AUTH_TOKEN": "sntrys_...",
        "DATABASE_URL": "postgresql://..."
      }
    }
  }
}

As OpenClaw Plugin

  1. Install the package:
npm install lucid-observability-agent
  1. Add to your openclaw.json:
{
  "plugins": [
    {
      "id": "lucid-observability",
      "package": "lucid-observability-agent",
      "config": {
        "sentryAuthToken": "sntrys_...",
        "sentryOrg": "your-org",
        "databaseUrl": "postgresql://..."
      }
    }
  ]
}

The plugin registers all 16 tools, 3 resources, 3 prompts, and 2 slash commands automatically.

Environment Variables

Variable Required Description
SENTRY_AUTH_TOKEN Yes Sentry internal integration token (scopes: org:read, project:read, event:read, event:write)
SENTRY_ORG No Sentry org slug (overrides config default)
DATABASE_URL For metering tools PostgreSQL connection string for OpenMeter outbox
AGENT_CONFIG_PATH No Path to custom config JSON (see Configuration)

Tools (16)

Sentry (6)

Tool Description
sentry_list_issues List issues by project with Sentry search syntax
sentry_get_issue Full detail: stack trace, tags, contexts, cross-links
sentry_get_issue_events Event history with temporal pattern detection
sentry_resolve_issue Resolve, ignore, or unresolve issues
sentry_search_by_trace Find errors by OTel trace ID
sentry_project_stats Error rate trends over time

Diagnosis (2)

Tool Description
diagnose_issue Root cause analysis with configurable patterns
cross_correlate Cross-service error correlation via trace_id/run_id

OpenMeter (4)

Tool Description
openmeter_outbox_health Queue depth, dead letters, stuck leases
openmeter_usage_by_org Per-org token/tool usage breakdown
openmeter_dead_letter_retry Retry failed dead-letter events
openmeter_usage_anomaly Spike/drop detection vs rolling baseline

Configuration (2)

Tool Description
check_config_health Audit env vars for production readiness
check_conventions Verify service uses standard conventions

Auto-Fix (2)

Tool Description
suggest_alert_rules Generate Sentry alert configs from patterns
generate_runbook Incident runbook for 10 error categories

Resources (3)

URI Description
{platform}://conventions Span names, attribute keys, rules
{platform}://services Service topology and dependencies
{platform}://sampling Sampling strategy reference

Prompts (3)

Prompt Description
triage-issue 6-step issue triage workflow
production-readiness Full production audit scorecard
incident-response 4-phase incident response protocol

These prompts are also documented with full workflows in SKILL.md.

Commands (OpenClaw)

When running as an OpenClaw plugin, two slash commands are available:

Command Description
/obs-status Show observability agent status --- config, services, connections
/obs-check Run observability health checks --- config audit + outbox health

OpenClaw Heartbeat

OpenClaw supports autonomous monitoring via a HEARTBEAT.md file. The agent runs the checks on a schedule and reports findings without manual prompting.

Add a HEARTBEAT.md to your project root (or reference the checklist in SKILL.md):

## Observability Checks
- Run `openmeter_outbox_health` — alert if dead letters > 0 or stuck leases
- Run `sentry_list_issues` sorted by freq — flag issues with count > 100
- Run `check_config_health` — warn if any critical checks failing
- If issues found, run `diagnose_issue` and suggest resolution

The heartbeat runs these checks periodically and surfaces warnings or critical findings through OpenClaw's notification system.

Configuration

The agent ships with Lucid platform defaults (config/lucid.json). Override by setting AGENT_CONFIG_PATH:

AGENT_CONFIG_PATH=./my-config.json npx lucid-obs-agent

When using the OpenClaw plugin, pass the config path via plugin config:

{
  "configPath": "./config/my-config.json"
}

See config/example.json for a minimal config template.

Development

git clone https://github.com/daishizenSensei/lucid-observability-agent
cd lucid-observability-agent
npm install
npm run typecheck   # Verify types
npm run dev         # Start with tsx (hot reload)
npm run build       # Build with tsup to dist/
npm run start       # Run built output

Project Structure

src/
  bin.ts            # CLI entry point (MCP stdio server)
  index.ts          # Package re-export (core + mcp + openclaw)
  mcp.ts            # MCP server setup (tools, resources, prompts)
  openclaw.ts       # OpenClaw plugin entry (tools, commands, skills)
  core/
    tools/          # 16 tool definitions (ToolParamDef format)
    resources/      # 3 resource data providers
    commands/       # /obs-status, /obs-check handlers
    config/         # Config loading and defaults
    helpers/        # Sentry API, DB client, shared utils
    types/          # TypeScript type definitions

License

MIT

from github.com/daishizenSensei/lucid-observability-agent

Установка Lucid Observability Agent

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/daishizenSensei/lucid-observability-agent

FAQ

Lucid Observability Agent MCP бесплатный?

Да, Lucid Observability Agent MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Lucid Observability Agent?

Нет, Lucid Observability Agent работает без API-ключей и переменных окружения.

Lucid Observability Agent — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Lucid Observability Agent в Claude Desktop, Claude Code или Cursor?

Открой Lucid Observability Agent на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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