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Persistent graph-backed conversational memory for AI agents.
About
Persistent graph-backed conversational memory for AI agents.
Security Report
5.5
Moderate5.5Moderate RiskValid MCP server (1 strong, 1 medium validity signals). 5 known CVEs in dependencies (0 critical, 4 high severity) Package registry verified. Imported from the Official MCP Registry.
7 files analyzed · 6 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.
What You'll Need
Set these up before or after installing:
Transport mode for the MCP server.
Environment variable: WAGGLE_TRANSPORT
Backend database type: sqlite for local use or neo4j for service deployments.
Environment variable: WAGGLE_BACKEND
Path to the SQLite memory database when WAGGLE_BACKEND is sqlite.
Environment variable: WAGGLE_DB_PATH
Default tenant ID for local or shared memory isolation.
Environment variable: WAGGLE_DEFAULT_TENANT_ID
Sentence-transformers model used for local embeddings.
Environment variable: WAGGLE_MODEL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-abhigyan-shekhar-waggle-mcp": {
"env": {
"WAGGLE_MODEL": "your-waggle-model-here",
"WAGGLE_BACKEND": "your-waggle-backend-here",
"WAGGLE_DB_PATH": "your-waggle-db-path-here",
"WAGGLE_TRANSPORT": "your-waggle-transport-here",
"WAGGLE_DEFAULT_TENANT_ID": "your-waggle-default-tenant-id-here"
},
"args": [
"waggle-mcp"
],
"command": "uvx"
}
}
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