Server data from the Official MCP Registry
Causal graph memory engine for AI agents with scoring, activation, and forgetting
About
Causal graph memory engine for AI agents with scoring, activation, and forgetting
Security Report
Genesys is a well-engineered AI memory system with thoughtful permission scoping and solid authentication patterns for a multi-tenant MCP server. The codebase demonstrates strong security practices around ownership verification, org boundary enforcement, and credential handling. Minor code quality issues (broad exception handling, incomplete input validation on some paths) are present but do not constitute security vulnerabilities. Permissions align appropriately with the server's purpose as a memory management and causal graph engine. Supply chain analysis found 6 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue (1 critical, 0 high severity).
3 files analyzed · 12 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
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: OPENAI_API_KEY
Environment variable: ANTHROPIC_API_KEY
Environment variable: GENESYS_EMBEDDER
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-rishimeka-genesys-memory": {
"env": {
"OPENAI_API_KEY": "your-openai-api-key-here",
"GENESYS_EMBEDDER": "your-genesys-embedder-here",
"ANTHROPIC_API_KEY": "your-anthropic-api-key-here"
},
"args": [
"genesys-memory"
],
"command": "uvx"
}
}
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