@dinglebear/cortex

by dinglebear · Cloud & Infra · MCP server

@dinglebear/cortex is an MCP server by dinglebear. Self-hosted log aggregation and investigation for homelabs: syslog, Docker, OTLP, and AI transcripts in SQLite/FTS, exposed over MCP, CLI, and REST. It is listed in Cloud & Infra.

Category: Cloud & Infra
Author: dinglebear
GitHub stars: Not on GitHub
This week: Tracking since 19 Oct 2026
Language: JavaScript
License: AGPL-3.0-only (open source)
Last update: 2026-10-01 (23 days ago)
Links: Source npm

mcp
mcp-server
model-context-protocol
rust
self-hosted
claude-code
codex
gemini
homelab
logs
observability
sqlite
+6 more

How to install @dinglebear/cortex

@dinglebear/cortex is published on npm as @dinglebear/cortex, and it is listed in the official MCP Registry. These steps assume it runs as a local stdio server, which is the usual setup.

Check the README. Confirm the start command and note any API keys or environment variables it needs (pass them with -e KEY=value or an env block). You need Node.js for npx.

Add it to Claude Code from a terminal:

claude mcp add cortex -- npx -y @dinglebear/cortex

Or add it to Cursor or Claude Desktop in .cursor/mcp.json or claude_desktop_config.json:

{
  "mcpServers": {
    "cortex": {
      "command": "npx",
      "args": [
        "-y",
        "@dinglebear/cortex"
      ]
    }
  }
}

Restart the client and check it. Run claude mcp list, or open the client's MCP settings, and confirm @dinglebear/cortex and its tools are listed. The install guide covers VS Code and Codex.

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Frequently asked questions

What is @dinglebear/cortex?

@dinglebear/cortex is an MCP server by dinglebear in the Cloud & Infra category. Self-hosted log aggregation and investigation for homelabs: syslog, Docker, OTLP, and AI transcripts in SQLite/FTS, exposed over MCP, CLI, and REST. It is listed in Cloud & Infra. It is written in JavaScript. It is licensed under AGPL-3.0-only. It was last updated 23 days ago.

Is @dinglebear/cortex free and open source?

Yes. @dinglebear/cortex is published under the AGPL-3.0-only license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

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