Is ai.dinglebear/cortex safe to use?

ai.dinglebear/cortex has no known CVEs as of the latest MCPpedia security scan. It requires authentication to connect, which limits unauthorized access. Licensed under MIT.

How do I install ai.dinglebear/cortex?

ai.dinglebear/cortex supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can ai.dinglebear/cortex do?

ai.dinglebear/cortex provides 12 tools: llm_invocations, Contents, Ingestion, Correlation, Interfaces and 7 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with ai.dinglebear/cortex?

ai.dinglebear/cortex is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is ai.dinglebear/cortex actively maintained?

ai.dinglebear/cortex is actively maintained — last commit was 1 day ago. It has 3 GitHub stars.

ai.dinglebear/cortex

@dinglebear/cortex

Self-hosted homelab log intelligence over MCP, CLI, and REST with SQLite/FTS.

3 372/wk 12 tools GitHub npm

No known CVEs

MIT license

Actively maintained

Last commit 1d ago

Works with most clients

Transport: stdio, sse, http

12 tools · ~592 tok

Grade B · 0.3% of 200K ctx

MCPpedia last refreshed this data 14h ago

Edit this pageView history

ai.dinglebear/cortex is an MCP server that self-hosted homelab log intelligence over MCP, CLI, and REST with SQLite/FTS. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 85/100 on MCPpedia's security, maintenance and efficiency rubric.

Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "cortex": {
      "env": {
        "CORTEX_DB_PATH": "/absolute/path/to/cortex.db"
      },
      "args": [
        "-y",
        "cortex-rmcp",
        "mcp"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/ai-dinglebear-cortex)](https://mcppedia.org/s/ai-dinglebear-cortex)

Read me

What ai.dinglebear/cortex does

Self-hosted homelab log intelligence over MCP, CLI, and REST with SQLite/FTS.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@dinglebear/cortex' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

85/100across 5 weighted dimensions

How we score →

0255075100

−15

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @dinglebear/cortex against OSV.dev.

Inventory

Tools (12)

Click any tool to inspect its schema.

~592 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is ai.dinglebear/cortex safe to use?: ai.dinglebear/cortex has no known CVEs as of the latest MCPpedia security scan. It requires authentication to connect, which limits unauthorized access. Licensed under MIT.
How do I install ai.dinglebear/cortex?: ai.dinglebear/cortex supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can ai.dinglebear/cortex do?: ai.dinglebear/cortex provides 12 tools: llm_invocations, Contents, Ingestion, Correlation, Interfaces and 7 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with ai.dinglebear/cortex?: ai.dinglebear/cortex is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is ai.dinglebear/cortex actively maintained?: ai.dinglebear/cortex is actively maintained — last commit was 1 day ago. It has 3 GitHub stars.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "cortex": {
      "env": {
        "CORTEX_DB_PATH": "/absolute/path/to/cortex.db"
      },
      "args": [
        "-y",
        "cortex-rmcp",
        "mcp"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/ai-dinglebear-cortex)](https://mcppedia.org/s/ai-dinglebear-cortex)

Read me

What ai.dinglebear/cortex does

Self-hosted homelab log intelligence over MCP, CLI, and REST with SQLite/FTS.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@dinglebear/cortex' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

Cortex

Self-hosted homelab log intelligence over MCP, CLI, and REST with SQLite/FTS.

It collects logs and operational evidence, stores them in SQLite with FTS5 search, and exposes one shared intelligence layer through CLI, REST, MCP, and a bundled browser workspace.

Cortex began as a syslog receiver. It now covers network logs, Docker, managed files, OpenTelemetry logs, host heartbeats, fleet inventory, shell and agent activity, and Claude, Codex, and Gemini transcripts. It correlates those sources into timelines, incidents, and an evidence-backed topology graph without making the graph a second source of truth.

At a glance

Area	What Cortex provides
Ingest	UDP/TCP syslog, OTLP/HTTP logs, Docker logs and events, managed file tails, host heartbeats, AI transcripts, shell history, agent command records, and fleet inventory
Storage	SQLite in WAL mode, FTS5 full-text search, bounded metadata, retention, storage budgets, maintenance jobs, checkpoints, and 43 sequential schema migrations
Investigation	Search, filtering, context, timelines, patterns, anomaly comparison, cross-source correlation, recurring error signatures, deterministic incident bundles, and graph explanations
Fleet intelligence	SSH and API inventory collectors, host state, service topology, container and route relationships, redacted evidence, and rebuildable graph projections
AI operations	Claude, Codex, and Gemini session indexing; skill, MCP, and hook event extraction; incident clustering; and guarded local LLM assessments
Interfaces	Native CLI, one action-dispatched MCP tool, authenticated REST APIs, MCP prompts and resources, an MCP Apps search widget, and a bundled investigation workspace
Operations	Setup and repair, diagnostics, Compose control, backup, integrity checks, WAL checkpoints, vacuum, update workflows, agents, and health endpoints

[!IMPORTANT] Cortex is designed for a trusted homelab or small private fleet. It is not a clustered log warehouse, a general-purpose SIEM, or a safe place to expose unauthenticated administrative surfaces to the public internet.

Quick start
How Cortex is built
Ingestion
Investigation and intelligence
Fleet inventory and graph
AI session intelligence
Alerts and notifications
Interfaces
Configuration
Authentication and trust boundaries
Storage and maintenance
Deployment and distribution
Operations
Development and verification
Documentation
Current boundaries
License

Quick start

Install the CLI

The npm launcher is the fastest path for local CLI and stdio MCP use:

npx -y @dinglebear/cortex --help
npx -y @dinglebear/cortex mcp

Install it permanently with:

npm install --global @dinglebear/cortex
cortex --version

The launcher requires Node.js 18 or newer. It downloads a checksum-verified native release binary and currently supports Linux x64 and Windows x64.

Build from source with the current stable Rust toolchain:


... [View full README on GitHub](https://github.com/dinglebear-ai/cortex#readme)

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

85/100across 5 weighted dimensions

How we score →

0255075100

−15

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @dinglebear/cortex against OSV.dev.

Inventory

Tools (12)

Click any tool to inspect its schema.

~592 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is ai.dinglebear/cortex safe to use?: ai.dinglebear/cortex has no known CVEs as of the latest MCPpedia security scan. It requires authentication to connect, which limits unauthorized access. Licensed under MIT.
How do I install ai.dinglebear/cortex?: ai.dinglebear/cortex supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can ai.dinglebear/cortex do?: ai.dinglebear/cortex provides 12 tools: llm_invocations, Contents, Ingestion, Correlation, Interfaces and 7 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with ai.dinglebear/cortex?: ai.dinglebear/cortex is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is ai.dinglebear/cortex actively maintained?: ai.dinglebear/cortex is actively maintained — last commit was 1 day ago. It has 3 GitHub stars.