RUN IN TERMINAL
claude mcp add aircll-fleet-memory -- npx -y fleet-memory-mcp
ADD TO claude_desktop_config.json
{
"mcpServers": {
"aircll-fleet-memory": {
"command": "npx",
"args": ["-y", "fleet-memory-mcp"]
}
}
}
ADD TO .vscode/mcp.json
{
"mcpServers": {
"aircll-fleet-memory": {
"command": "npx",
"args": ["-y", "fleet-memory-mcp"]
}
}
}
ADD TO .cursor/mcp.json
{
"mcpServers": {
"aircll-fleet-memory": {
"command": "npx",
"args": ["-y", "fleet-memory-mcp"]
}
}
}
About This MCP Server
Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the stdio transport.
Package
fleet-memory-mcp on npm
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on npm.
What tools does it provide?
The RCLL server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.
