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18 trust tools for AI agents — verify, score, route, compare, and delegate with confidence.
Security Report
GARL Protocol's MCP server and backend demonstrate solid security fundamentals with proper cryptographic practices (ECDSA-secp256k1), input validation, and HTML/CSV injection mitigations. However, several moderate concerns exist: API key ownership verification uses SHA-256 hashes instead of secure comparison in some code paths, rate limiting relies on in-memory storage without persistence (vulnerable to restarts), and the code truncation prevents full analysis. The server's permissions (network_http, file_read for config, env_vars for secrets) are appropriate for its trust-verification purpose, but some validation gaps and error handling inconsistencies merit attention. Supply chain analysis found 14 known vulnerabilities in dependencies (2 critical, 4 high severity). Package verification found 1 issue (1 critical, 0 high severity).
4 files analyzed · 26 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
What You'll Need
Set these up before or after installing:
Environment variable: GARL_API_KEY
Environment variable: GARL_AGENT_ID
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-garl-protocol-mcp-server": {
"env": {
"GARL_API_KEY": "your-garl-api-key-here",
"GARL_AGENT_ID": "your-garl-agent-id-here"
},
"args": [
"-y",
"garl-frontend"
],
"command": "npx"
}
}
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