mcpField
S
Superlog

Superlog

Remote
superlog.shData & Analytics1.5kUpdated today

About Superlog

Superlog is an open-source observability workspace for OpenTelemetry data, aimed at teams debugging production systems. It ingests traces, logs, and metrics, groups noisy signals into incidents, and offers a local-first interface with pluggable investigation runners.

Key features

  1. 01Ingests OpenTelemetry traces, logs, and metrics
  2. 02Groups noisy signals into incidents
  3. 03Provides a local-first debugging workspace
  4. 04Supports pluggable investigation runners
  5. 05Includes a web app, API, and OTLP intake proxy

Use cases

  1. 01Debug production system incidents
  2. 02Organize incidents from noisy telemetry
  3. 03Query traces, logs, and metrics
  4. 04Run a local telemetry debugging workspace

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.superlog.sh/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README
Twitter post - 2

Last Commit Commit Activity MCP Toplist Apache 2.0 License
Discord Y Combinator P26 Follow @superlogYC on X

Website · Code · Skills · Helpers · Discord

About

Superlog is an open-source agentic telemetry system. It ingests traces, logs, and metrics, groups noisy signals into incidents, and watches your infra while you sleep.

Installation

You can install Superlog in your project by using our skills in your favourite coding agent:

Run npx skills add superloglabs/skills --all and use the skills to install Superlog in this project

What is Superlog?

Superlog is an open-core observability workspace for OpenTelemetry data. It ingests traces, logs, and metrics, groups noisy signals into incidents, and gives teams a local-first product surface for debugging production systems.

This repository contains the fully open-source, free community edition:

  • Web app and API
  • OTLP ingest proxy
  • Worker processes for incident grouping and background jobs
  • Postgres schema and ClickHouse-backed telemetry queries
  • Agent runner interfaces for pluggable investigation runtimes
  • A default community agent runner that records a local incident summary

We also provide a hosted Superlog Cloud edition with a free tier, a pay-to-go plan and monthly credit packs.

Quick Start

Prerequisites:

  • Node.js 20+
  • pnpm 9+
  • Docker

Install dependencies:

pnpm install

Start the local stack:

docker compose up -d
pnpm --filter @superlog/db db:migrate
pnpm dev

The default local services are:

  • Web: http://localhost:5173
  • API: http://localhost:4100
  • OTLP intake: http://localhost:4101

Development

Run typechecks:

pnpm typecheck

Repository Layout

  • apps/web - Vite/React frontend
  • apps/api - HTTP API
  • apps/proxy - OTLP intake proxy
  • apps/worker - background workers and agent orchestration
  • packages/db - Drizzle schema and migrations
  • packages/fingerprint - telemetry fingerprinting helpers

License

Superlog is licensed under the Apache License 2.0.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.