Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.
Install
Run one of the commands below, then add the client config underneath.
npx -y fleet-memory-mcpClient configuration
Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.
{
"mcpServers": {
"fleet-memory": {
"command": "npx",
"args": [
"-y",
"fleet-memory-mcp"
]
}
}
}About this server
RCLL is listed in the Knowledge & Memory category of the MCPNav directory. It is distributed as npm and can be loaded by any client that speaks the Model Context Protocol.
Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.
Frequently asked questions
What is the RCLL MCP server?＋
RCLL is an MCP server by rcll. Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.
How do I install RCLL?＋
Install it with: npx -y fleet-memory-mcp. Then add the JSON config to your client's MCP settings and restart the client.
Is RCLL free to use?＋
The MCP server itself is free to install. The source is public on https://github.com/Holetron-lab/fleet-memory. Any third-party API it calls (such as a search or maps API) may require its own key and billing.
Which clients support RCLL?＋
Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.