monoscope-tech/monoscope

Monoscope lets you ingest and explore your logs, traces and metrics. We store these in S3 compatible buckets. Query in natural language via LLMs.

What it solves

Monoscope provides an affordable, open-source observability platform for managing logs, metrics, and traces. It eliminates the high cost of proprietary storage by using S3-compatible object storage and simplifies data exploration through natural language querying and AI-driven anomaly detection.

How it works

Monoscope ingests telemetry data via an OpenTelemetry-native pipeline and stores it in S3 using the TimeFusion engine. It provides several interfaces for interaction:

  • Natural Language Interface: Uses LLMs to translate plain English queries into technical queries (KQL).
  • AI Agents: Scheduled agents that analyze data for anomalies and send automated email reports.
  • MCP Server: Implements the Model Context Protocol, allowing AI clients like Claude Desktop or Cursor to search events and triage issues directly.
  • CLI: A stable JSON-emitting command-line tool that can be chained for automated triage pipelines.

Who it’s for

DevOps engineers, SREs, and developers who need a scalable, self-hostable observability stack that avoids vendor lock-in and leverages AI to reduce the manual effort of incident triage.

Highlights

  • S3-Native Storage: Keeps data in your own buckets to reduce costs and avoid lock-in.
  • AI-Powered Analysis: Built-in agents for anomaly detection and natural language data exploration.
  • OpenTelemetry Native: Supports over 750 integrations out of the box.
  • Agentic Ecosystem: Includes an MCP server and specialized Claude Code skills for automated incident investigation.

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