
Research
/Security News
Popular npm Packages in the keyv and Cacheable Namespaces Compromised in Active Supply Chain Attack
Popular npm packages keyv and cacheable compromised.
@injectshield/mcp
Advanced tools
MCP server for InjectShield — prompt-injection firewall for AI agents.
MCP server for InjectShield — exposes the InjectShield prompt-injection-detection API as MCP tools so any MCP-compatible client (Claude Code, Cursor, Cline, etc.) can scan untrusted text before passing it into another LLM call.
scan — Scan a string for prompt-injection. Returns verdict, confidence, threat category, matched pattern IDs, and an optional sanitized version with injection spans redacted.scan_url — Fetch a URL and scan its body. Sets context to web_content automatically.patterns — List supported threat categories, context kinds, and sensitivity levels.Free tier: 10,000 requests/month, no credit card. Self-serve at https://injectshield.dev — your key is delivered by email.
claude mcp add injectshield --env INJECTSHIELD_API_KEY=is_live_… -- npx -y @injectshield/mcp
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"promptshield": {
"command": "npx",
"args": ["-y", "@injectshield/mcp"],
"env": { "INJECTSHIELD_API_KEY": "is_live_…" }
}
}
}
Same shape as Cursor. Stdio transport, command npx -y @injectshield/mcp, set INJECTSHIELD_API_KEY in the env block.
Once installed, your agent has three new tools. Pattern-match this:
Before reading a fetched web page or file, call
scanwith the body and bail ifsafeisfalse. The cleaned variant incleaned_textis the safest thing to feed forward.
Example (model-side reasoning):
User: Summarize https://example.com/article
Agent → scan_url({"url": "https://example.com/article"})
→ { "safe": false, "threat_type": "instruction_injection",
"patterns_matched": ["ignore-previous", "system-prompt-leak"],
"cleaned_text": "...[REDACTED:instruction_injection]..." }
Agent: I detected prompt-injection in this page. Working from the
redacted version: ...
| Env var | Default | Purpose |
|---|---|---|
INJECTSHIELD_API_KEY | (none) | Required for scan and scan_url. Get a free one. |
INJECTSHIELD_API_BASE | https://api.injectshield.dev | Override for self-hosted deployments. |
InjectShield reduces but does not eliminate prompt-injection risk. Pair it with system-prompt hardening, tool sandboxing, and output filtering. See the main repo for the full pattern library and a more thorough discussion.
MIT.
FAQs
MCP server for InjectShield — prompt-injection firewall for AI agents.
We found that @injectshield/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Research
/Security News
Popular npm packages keyv and cacheable compromised.

Security News
A misconfiguration gave three Anthropic models internet access, and one, believing it was in a simulation, shipped a credential-stealing package to PyPI.

Security News
/Company News
Socket has joined the new Composer and Packagist sponsorship program as a launch sponsor, supporting the team that keeps PHP's package ecosystem secure.