B — Some risk signals Graded October 16, 2026Minor concerns worth a quick check.Based on public adoption and transparency signals as of October 16, 2026. Our opinion, not a code audit or security guarantee.
App connector · Files & documents
note-gen
Capture first. Organize later. A local-first Markdown app that turns scattered records into clear notes with AI.
Bottom line: Signal-based grade (4/7 points): very widely starred on GitHub, public source code. This reflects adoption and transparency, not a code audit.
- Popularity score
- 46/100
- Rank
- Not ranked: outside the 500 most popular tools
- GitHub stars
- 12.9k
What it does
note-gen is a local-first Markdown application that captures unstructured notes and records, then uses AI to automatically organize and clarify them. It prioritizes keeping data on your machine while leveraging AI for intelligent note synthesis and structuring.
Who it’s for
Knowledge workers, researchers, and builders who accumulate scattered notes and want AI-assisted organization without cloud storage. Teams or individuals seeking a privacy-preserving alternative to cloud note-taking apps.
Copy-paste setup
Check these steps against the project’s own instructions before running anything.
Verify against the repo README at https://github.com/codexu/note-gen (opens external site) for the latest MCP connector configuration. Typical MCP server setup involves cloning the repo, installing dependencies (npm install), and configuring it in Claude Desktop's claude_desktop_config.json under mcpServers. Exact JSON schema and command details should be confirmed in the repository's documentation.
Risks
- Local data access: The app has broad filesystem access to read/write notes; malicious prompts could exfiltrate sensitive data if AI processing pipes raw content to external APIs without explicit user consent.
- AI model injection: Unvetted notes fed directly to language models may expose private information; confirm whether sensitive data is sanitized before model processing.
- Supply-chain transparency: Limited recent npm activity (0 weekly downloads reported) raises questions about ongoing maintenance and security patch velocity.
- Credential handling: If the connector integrates with external AI services, verify that API keys and credentials are properly scoped and never logged or cached insecurely.
- Prompt injection via notes: Adversarial note content could manipulate AI behavior; validate that user input is properly escaped before LLM processing.
How to stay secure
note-gen Security Hardening Guide
Least-privilege permissions
- Restrict file access: Only grant the app permission to read/write your notes folder—not your entire computer. Prevent access to Downloads, Documents, or other sensitive directories.
- Disable cloud sync by default: Keep notes stored locally only. If cloud features are available, explicitly opt-in and review what data is being sent before enabling.
- Limit AI service credentials: If you connect external AI (like OpenAI), use API keys with minimal permissions (read-only or specific endpoint access only, not account admin).
- Review folder structure: Store notes in a dedicated, isolated folder separate from financial records, passwords, or personal documents.
Network isolation
- Monitor outbound connections: Use your device's built-in firewall or a monitoring tool to confirm the app only connects to services you've explicitly authorized (e.g., your chosen AI provider).
- Disable external AI by default: Run the app in local-only mode if possible. Only enable cloud AI processing when absolutely necessary, and only for non-sensitive notes.
- Check for background syncing: Verify the app isn't automatically uploading notes in the background; disable any auto-sync features and use manual export only.
- Use a VPN or network logs: On shared networks, monitor what data leaves your device using a VPN or network inspection tool.
Monitoring
- Audit API calls: If the app connects to external services, periodically check what data is being sent (use browser developer tools or network monitoring software).
- Review version updates: Check the npm project page or GitHub regularly for security patches. Avoid using the app if no updates have been released in 6+ months.
- Enable app logging: Turn on detailed logs (if available) to see what files the app reads and what it sends to AI models—review logs weekly for unexpected activity.
- Backup your notes: Maintain encrypted offline backups to detect if notes are accessed or modified without your knowledge.
Red flags to watch for
- Unexplained network activity: If the app uses significant internet bandwidth while you're just editing notes locally, it may be exfiltrating data.
- Missing or vague privacy policy: If the developer doesn't clearly explain how notes are processed and stored, assume the worst and don't use the app with sensitive data.
- Prompt injection in AI responses: If the AI suddenly follows instructions embedded in your notes (e.g., "ignore previous rules"), the app isn't properly isolating user content from AI prompts.
- Credentials visible in logs or cache: If you find your API keys, passwords, or note content stored unencrypted in temporary files or application logs, stop using the app immediately and revoke any exposed credentials.
Alternatives
- Obsidian with AI plugins (local-first, strong privacy model, wider ecosystem)
- Logseq (open-source, local-first knowledge graph, integrated AI options)
- Notion with AI (cloud-based but managed infrastructure, enterprise trust model)
- Apple Notes with on-device AI (tightly integrated, minimal data exfiltration risk)