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MCP server for delegating tasks to specialized AI assistants in Cursor, Claude, and Gemini
MCP server for delegating tasks to specialized AI assistants in Cursor, Claude, and Gemini
Set these up before or after installing:
Environment variable: AGENTS_DIR
Environment variable: AGENT_TYPE
Environment variable: EXECUTION_TIMEOUT_MS
Environment variable: SESSION_ENABLED
Environment variable: SESSION_DIR
Environment variable: SESSION_RETENTION_DAYS
Environment variable: AGENTS_SETTINGS_PATH
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-shinpr-sub-agents-mcp": {
"env": {
"AGENTS_DIR": "your-agents-dir-here",
"AGENT_TYPE": "your-agent-type-here",
"SESSION_DIR": "your-session-dir-here",
"SESSION_ENABLED": "your-session-enabled-here",
"AGENTS_SETTINGS_PATH": "your-agents-settings-path-here",
"EXECUTION_TIMEOUT_MS": "your-execution-timeout-ms-here",
"SESSION_RETENTION_DAYS": "your-session-retention-days-here"
},
"args": [
"-y",
"sub-agents-mcp"
],
"command": "npx"
}
}
}This is a well-structured MCP server for executing AI sub-agents through various CLI tools. The code demonstrates good security practices with proper input validation, authentication handling, and error management. Minor code quality issues exist around broad exception handling and some input validation edge cases, but overall the server is secure and appropriate for its intended purpose. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
4 files analyzed · 7 issues found
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