RCLL

MCP server · by rcll

Knowledge & Memory npm v0.1.0

Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.

View source ↗ Website ↗ Generate config for multiple servers More servers

Install

Pin version registry version 0.1.0

npm
npx -y fleet-memory-mcp

npm
npx -y fleet-memory-mcp@0.1.0

Setup by client

Pick your client — the config below is generated for this server (local stdio). Copy respects the “Pin version” switch above.

claude_desktop_config.json

{
  "mcpServers": {
    "fleet-memory": {
      "command": "npx",
      "args": [
        "-y",
        "fleet-memory-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "fleet-memory": {
      "command": "npx",
      "args": [
        "-y",
        "fleet-memory-mcp@0.1.0"
      ]
    }
  }
}

Format verified against the official Claude Desktop docs ↗.

terminal

claude mcp add fleet-memory -- npx -y fleet-memory-mcp

claude mcp add fleet-memory -- npx -y fleet-memory-mcp@0.1.0

Format verified against the official Claude Code docs ↗.

.cursor/mcp.json

{
  "mcpServers": {
    "fleet-memory": {
      "command": "npx",
      "args": [
        "-y",
        "fleet-memory-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "fleet-memory": {
      "command": "npx",
      "args": [
        "-y",
        "fleet-memory-mcp@0.1.0"
      ]
    }
  }
}

Format verified against the official Cursor docs ↗.

.vscode/mcp.json

{
  "servers": {
    "fleet-memory": {
      "command": "npx",
      "args": [
        "-y",
        "fleet-memory-mcp"
      ]
    }
  }
}

{
  "servers": {
    "fleet-memory": {
      "command": "npx",
      "args": [
        "-y",
        "fleet-memory-mcp@0.1.0"
      ]
    }
  }
}

Format verified against the official VS Code docs ↗.

mcp_config.json

{
  "mcpServers": {
    "fleet-memory": {
      "command": "npx",
      "args": [
        "-y",
        "fleet-memory-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "fleet-memory": {
      "command": "npx",
      "args": [
        "-y",
        "fleet-memory-mcp@0.1.0"
      ]
    }
  }
}

Format verified against the official Windsurf docs ↗.

Environment variables

Defined in the server's official registry manifest. Required secrets are shown as <YOUR_…> placeholders in the configs above.

FLEET_URL — Base URL of the fleet-memory backend (self-hosted). Defaults to http://127.0.0.1:5100. The pre-rebrand name HINDSIGHT_URL is still read as a fallback.
FLEET_BANK — Default memory bank ID for retain/recall. The pre-rebrand variable MEMPALACE_BANK is still read as a fallback. Migrating from hindsight-mempalace-mcp? Set this to mempalace-main to keep reading your existing bank; see mc

GitHub

最近更新于 62 天前 · MIT license

About this server

RCLL Self hosted shared memory for a team of AI agents. Storage + structure in one system. RCLL — team memory for agent fleets. Built on Hindsight (github.com/vectorize io/hindsight, MIT). [!IMPORTANT] You are looking at a read only mirror. The canonical repository is godcrm.ai/git/holetron lab/flee…

Summary from the project README — github.com/Holetron-lab/fleet-memory

Distributed as npm, listed under Knowledge & Memory. Review our MCP security guide before granting access to real data.

Frequently asked questions

What does the RCLL MCP server do?

How do I install RCLL?

Run the install command shown above, then paste the config for your client (Claude Desktop, Claude Code, Cursor, VS Code or Windsurf) into its 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 service it calls may require its own API key and account.

Which clients support RCLL?

Any MCP-compatible client can use it, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and custom agents.

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Publish this server? Link back with a badge on your README or site — copy either snippet.

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