Vulnerability Intel MCP
Defensive vulnerability intelligence search across public CVE/NVD and GitHub advisory APIs with CVSS
No outside reports on file
Vulnerability Intel MCP connects to external service APIs 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 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 reachConnects to outside service APINOTED
- 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 Vulnerability Intel MCP
Vulnerability Intel MCP is an MCP server focused on Developer tools and Web & browsing: Defensive vulnerability intelligence search across public CVE/NVD and GitHub advisory APIs with CVSS.
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: connects to outside service api.
Setup
We hold no install steps for Vulnerability Intel MCP. 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
- External API & account scope: Connects to third-party service APIs. Use a dedicated, least-privilege token scoped only to the workspaces or repositories this tool needs.
- 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 Vulnerability Intel MCP?
No standalone npm or PyPI package is listed for Vulnerability Intel MCP. Use the project links in the Key facts section on this page for installation steps.
Are there security reports about Vulnerability Intel MCP?
No reports found for this package in our research. Vulnerability Intel MCP 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 Vulnerability Intel MCP actively maintained?
We do not have star or download counts on file for Vulnerability Intel MCP yet (listing refreshed 2026-10-24). Check the commit history and open issues before relying on it.
What are alternatives to Vulnerability Intel MCP?
You can compare Vulnerability Intel MCP side by side with other GitHub, 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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