Nauro
Decision system for software built with AI
No outside reports on file
Nauro is distributed via PyPI (nauro); review its source code, dependencies, and requested permissions before use.
Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionRuns shell or system commandsREVIEW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourcePyPI (nauro)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
uvx nauroAbout Nauro
Nauro is an MCP server focused on General: Decision system for software built with AI.
It is published on PyPI as nauro and hosted on GitHub at Nauro-AI/nauro (11 GitHub stars, 255 PyPI downloads, last repository push on 2026-10-23). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.
Setup
Check these steps against the project’s own instructions before running anything.
Run the PyPI package nauro in an isolated environment:
uvx nauro
See https://github.com/Nauro-AI/nauro (opens external site) for required environment variables.
Why this grade
Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 11
- PyPI downloads
- 255
- Listing last refreshed
- 2026-10-28
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
No reports found for this package in our research (last checked 2026-10-30).
Risks to watch for
- Dependency & version pinning: Distributed via PyPI (nauro). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.
How to lower the risk
Least-privilege permissions
- Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
- Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.
Network isolation
- Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
- If your IT team can, limit which websites and services it is allowed to contact.
Monitoring
- Check its activity history or logs weekly at first, and look at what it changed or sent.
- Turn on alerts for new logins or unusual usage on any account it connects to.
Red flags to watch for
- It asks for more access than its job requires, or prompts you to paste passwords.
- It suddenly updates with new owners, or starts contacting unfamiliar websites.
Questions
How do I install Nauro?
Run uvx nauro (or pip install nauro) in your terminal, or add the server entry to your claude_desktop_config.json or .cursor/mcp.json as shown in the Setup section on this page. Full setup docs and environment variables are in github.com/Nauro-AI/nauro.
Are there security reports about Nauro?
No reports found for this package in our research (last checked 2026-10-30). Nauro currently holds Grade D (High risk signals) based on public adoption and transparency signals. Key risk areas to watch include dependency & version pinning:.
Is Nauro actively maintained?
Nauro has 11 GitHub stars and 255 PyPI downloads, with its latest repository commit pushed on 2026-10-23. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/Nauro-AI/nauro before pinning it in production.
What are alternatives to Nauro?
Compare Nauro side by side with similar MCP servers in the Related tools section on this page, or browse all MCP servers on AgentArmorHQ.
README badge and team notes
Maintain or use Nauro? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/nauro-ai-nauro)HTML embed:
<a href="https://agentarmorhq.com/skills/nauro-ai-nauro"><img src="https://agentarmorhq.com/api/badge/nauro-ai-nauro" alt="AgentArmorHQ Risk Grade for Nauro" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "nauro-ai-nauro"Share with your security lead
Need sign-off to use Nauro? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: Nauro
- **Listing URL:** https://agentarmorhq.com/skills/nauro-ai-nauro
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 11 GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** Runs shell or system commands
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** PyPI (nauro)
#### Recommended Hardened Setup
- **Command:** `uvx nauro`
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- App connector
- Publisher
- Nauro-AI
- Source code
- github.com/Nauro-AI/nauro
- Install command
- pip install nauro
- Est. context load
- ~500 tokens / turn (~3 tool schemas, 0.25% of 200k context)
- Popularity
- 11 GitHub stars, 255 PyPI downloads
- Last updated
- 2026-10-28
- Last graded
- 2026-10-22
Community
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