Waggle-mcp
Most LLMs forget everything when the conversation ends. waggle-mcp fixes that by giving your AI a persistent knowledge graph it can read and write through any MCP-compatible client.
Knowledge & Memory (RAG)
0 platforms
0 features
Install
uvx waggle-mcp
Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
{
"mcpServers": {
"waggle-mcp": {
"command": "uvx",
"args": [
"waggle-mcp"
],
"env": {
"WAGGLE_MODEL": "<WAGGLE_MODEL>",
"WAGGLE_BACKEND": "<WAGGLE_BACKEND>",
"WAGGLE_DB_PATH": "<WAGGLE_DB_PATH>",
"MCP_PROXY_DEBUG": "<MCP_PROXY_DEBUG>",
"WAGGLE_HTTP_HOST": "<WAGGLE_HTTP_HOST>",
"WAGGLE_HTTP_PORT": "<WAGGLE_HTTP_PORT>",
"WAGGLE_LOG_LEVEL": "<WAGGLE_LOG_LEVEL>",
"WAGGLE_NEO4J_URI": "<WAGGLE_NEO4J_URI>"
}
}
}
}Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.
