MCP server by IvenKooLab · ★ 100 · updated today
Cross-session memory and hybrid RAG over your notes and docs. Local-first, with cited answers.
Choose your AI client and copy the config.
Add to claude_desktop_config.json — macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Then restart Claude. Setup guide
{
"mcpServers": {
"loci": {
"command": "uvx",
"args": [
"loci-rag"
]
}
}
}Or add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project). Setup guide
{
"mcpServers": {
"loci": {
"command": "uvx",
"args": [
"loci-rag"
]
}
}
}Or add to .vscode/mcp.json in your workspace. Setup guide
{
"servers": {
"loci": {
"type": "stdio",
"command": "uvx",
"args": [
"loci-rag"
]
}
}
}Cascade → Actions → Open MCP config file (often ~/.config/devin/mcp_config.json). Setup guide
{
"mcpServers": {
"loci": {
"command": "uvx",
"args": [
"loci-rag"
]
}
}
}Run in your terminal: Setup guide
claude mcp add loci -- uvx loci-ragCLI or add to ~/.codex/config.toml. Setup guide
codex mcp add loci -- uvx loci-rag[mcp_servers.loci]
command = "uvx"
args = ["loci-rag"]Cline panel → Configure MCP Servers, or ~/.cline/data/settings/cline_mcp_settings.json. Setup guide
{
"mcpServers": {
"loci": {
"command": "uvx",
"args": [
"loci-rag"
]
}
}
}Run the server directly:
uvx loci-rag"env") in the config.Basic persistent memory using a local knowledge graph of entities, relations and observations, so the assistant can remember information about you across chats.
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