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MCP-native agent evaluation and observability server for AI agents
MCP-native agent evaluation and observability server for AI agents
Set these up before or after installing:
Environment variable: IRIS_API_KEY
Environment variable: IRIS_DB_PATH
Environment variable: IRIS_LOG_LEVEL
Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-iris-eval-mcp-server": {
"env": {
"IRIS_API_KEY": "your-iris-api-key-here",
"IRIS_DB_PATH": "your-iris-db-path-here",
"IRIS_LOG_LEVEL": "your-iris-log-level-here"
},
"args": [
"-y",
"@iris-eval/dashboard"
],
"command": "npx"
}
}
}This is a well-structured MCP server for agent evaluation and observability with proper authentication support, appropriate security measures, and minimal security concerns. The codebase demonstrates good practices with input validation, secure credential handling through environment variables, and permissions that align well with its stated purpose as a developer tool. Supply chain analysis found 6 known vulnerabilities in dependencies. Package verification found 1 issue (1 critical, 0 high severity).
Scanned 8 files · 10 findings
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
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