Agent♥︎Age
Catalog

Fanout

Official

by labstack · HTML

Investigate OpenTelemetry traces, metrics, and logs, and manage personal dashboards.

io.github.labstack/fanout MCP Server

The io.github.labstack/fanout MCP server investigates OpenTelemetry traces, metrics, and logs and manages personal dashboards. It ingests OpenTelemetry data, durably publishes it as atomic Parquet batches, and places an AI agent in front of the workflow in a single Go process with no external dependencies.

🛠️ Key Features

  • OpenTelemetry trace, metric, and log investigation
  • Personal dashboard management
  • Durably publishes ingested data as atomic Parquet batches
  • Single-binary, agent-native operation in one Go process

🚀 Use Cases

  • Observability workflows spanning traces, metrics, and logs
  • Storing and querying telemetry via Parquet batches
  • Creating and working with personal dashboards

⚡ Developer Benefits

  • Agent-native approach in a single Go process
  • Integration centered on OpenTelemetry and OTLP-related data handling
  • Output format aligned with Parquet for batch-based durability

⚠️ Limitations

  • Source data does not specify supported deployment environments beyond being “self-hosted” and “single-binary.”

Topics

ai-agentapmduckdbgolangloggingmcpmetricsmonitoringobservabilityopentelemetryotlpparquetself-hostedsingle-binarytracing