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 alternative to expensive observability platforms. It allows users to store massive amounts of telemetry data (logs, metrics, and traces) in their own S3-compatible storage to avoid vendor lock-in and high storage costs, while adding an AI layer for easier data exploration and monitoring.

How it works

Monoscope ingests telemetry data via an OpenTelemetry-native pipeline and stores it using the TimeFusion engine in S3 buckets. It provides several ways to interact with this data:

  • Natural Language Interface: Users can query their telemetry using plain English via LLMs.
  • AI Agents: Scheduled agents analyze data to detect anomalies and send automated email reports.
  • MCP Server: It 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 or used by AI agents.

Who it’s for

It is designed for developers and DevOps engineers who need a unified view of their system's health but want to maintain ownership of their data in S3 and reduce the cost of observability.

Highlights

  • S3-Native Storage: Stores years of data affordably in user-owned buckets.
  • AI-Powered Analysis: Includes natural language querying and scheduled anomaly detection agents.
  • OpenTelemetry Native: Supports over 750 integrations out of the box.
  • Agentic Ecosystem: Provides a dedicated MCP server and CLI designed for integration with AI coding agents like Claude Code.

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