RunHarvester
Web data extraction and browser workflows for AI assistants.
No outside reports on file
RunHarvester fetches arbitrary web URLs and links no public GitHub repository; restrict its folder reach, network access, and credentials before installing.
Based on public adoption and transparency signals as of Oct 23, 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 reachFetches arbitrary web URLsREVIEW
- CredentialsNo API token requiredLOW
- Package sourceSource repository onlyPUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
We hold no install steps for this listing. Follow the project’s own instructions.
About RunHarvester
RunHarvester is an MCP server focused on Data & databases and Web & browsing: Web data extraction and browser workflows for AI assistants.
No standalone npm or PyPI registry package is linked on file; review the project links before installing. Based on its public metadata, its operational scope includes: fetches arbitrary web urls.
Setup
We hold no install steps for RunHarvester. Follow the project’s own instructions.
Why this grade
Signal-based grade (0/7 points): no public source code found. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- Listing last refreshed
- 2026-10-23
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
We could not reach our research just now, so this list may be incomplete. Try again later.
Risks to watch for
- Untrusted web content & prompt injection: Fetches arbitrary web pages or remote endpoints where hidden instructions could manipulate agent behavior. Restrict outbound domains and review tool outputs.
- Unlinked source code repository: No public GitHub repository or registry package is linked on file. Verify the publisher identity and inspect the code before running it locally.
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 RunHarvester?
No standalone npm or PyPI package is listed for RunHarvester. Use the project links in the Key facts section on this page for installation steps.
Are there security reports about RunHarvester?
No reports found for this package in our research. RunHarvester currently holds Grade F (Many 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 RunHarvester actively maintained?
We do not have star or download counts on file for RunHarvester yet (listing refreshed 2026-10-23). Check the commit history and open issues before relying on it.
What are alternatives to RunHarvester?
You can compare RunHarvester side by side with other Browser MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.
Key facts
- Type
- App connector
- Est. context load
- ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
- Last updated
- 2026-10-23
- Last graded
- 2026-10-23
Community
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