Ragfeed
Web pages, PDFs and search results as LLM-ready Markdown or chunks. Firecrawl-compatible, EU-hosted.
No outside reports on file
Ragfeed reads local files 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 filesReads local filesNOTED
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- 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 Ragfeed
Ragfeed is an MCP server focused on Web & browsing and Files & documents: Web pages, PDFs and search results as LLM-ready Markdown or chunks. Firecrawl-compatible, EU-hosted.
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: reads local files.
Setup
We hold no install steps for Ragfeed. 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
- 2026-10-24
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
- Local file read access: Reads local documents or database files. Point it only at the specific files needed for the task so sensitive workspace files remain out of reach.
- 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 Ragfeed?
No standalone npm or PyPI package is listed for Ragfeed. Use the project links in the Key facts section on this page for installation steps.
Are there security reports about Ragfeed?
No reports found for this package in our research. Ragfeed 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 Ragfeed actively maintained?
We do not have star or download counts on file for Ragfeed yet (listing refreshed 2026-10-24). Check the commit history and open issues before relying on it.
What are alternatives to Ragfeed?
You can compare Ragfeed 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
- Est. context load
- ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
- Last updated
- 2026-10-24
- Last graded
- 2026-10-24
Community
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