egnyte-remote
Secure integration between AI tools and Egnyte content with search, analysis, and workflow tools.
No outside reports on file
egnyte-remote is distributed via GitHub (sachin-shetty/egnyte-ai-samples); review its source code, dependencies, and requested permissions before use.
Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsNo API token requiredLOW
- Package sourceGitHub (sachin-shetty/egnyte-ai-samples)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/sachin-shetty/egnyte-ai-samples ↗
About Egnyte Remote
Egnyte Remote is an MCP server focused on Web & browsing: Secure integration between AI tools and Egnyte content with search, analysis, and workflow tools.
It is hosted on GitHub at sachin-shetty/egnyte-ai-samples. Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.
Setup
These use the package this listing points to. Check the project’s own instructions before running anything.
No npm or PyPI package is listed for this MCP server. Source code and setup steps: github.com/sachin-shetty/egnyte-ai-samples.
Why this grade
Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- Listing last refreshed
- 2026-10-29
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 GitHub (sachin-shetty/egnyte-ai-samples). 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 Egnyte Remote?
Egnyte Remote does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/sachin-shetty/egnyte-ai-samples.
Are there security reports about Egnyte Remote?
No reports found for this package in our research (last checked 2026-10-30). Egnyte Remote currently holds Grade D (High risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.
Is Egnyte Remote actively maintained?
We do not have star or download counts on file for Egnyte Remote yet (listing refreshed 2026-10-29). Check the commit history and open issues at github.com/sachin-shetty/egnyte-ai-samples before relying on it.
What are alternatives to Egnyte Remote?
You can compare Egnyte Remote side by side with other Search MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.
Key facts
- Type
- App connector
- Publisher
- sachin-shetty
- Source code
- github.com/sachin-shetty/egnyte-ai-samples
- Est. context load
- ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
- Last updated
- 2026-10-29
- Last graded
- 2026-10-24
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