CLI runs on your own machine — the client starts it, so there is no endpoint to ping. 762 installs a week from npm. Last commit 25 Oct 2026.
Cross-tool decision memory for AI coding agents: search your decision graph, check changes over MCP.
We read the source, 6 h ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
try { inContainer = process.platform === 'linux' && (fs.existsSync('/.dockerenv') || fs.existsSync('/run/.containerenv') || set(process.env['container'])); } catch { /* unknown is not a container */ }
spawn(command: string, args: string[], options: SpawnOptions): ChildProcess;
return path.join(stateHomeFor(env, home, platform), 'align-cli');
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add cli -- npx -y @aligndottech/cli
{
"mcpServers": {
"cli": {
"command": "npx",
"args": [
"-y",
"@aligndottech/cli"
]
}
}
}
[mcp_servers.cli]
command = "npx"
args = ["-y", "@aligndottech/cli"]
{
"mcpServers": {
"cli": {
"command": "npx",
"args": [
"-y",
"@aligndottech/cli"
]
}
}
}
{
"servers": {
"cli": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@aligndottech/cli"
]
}
}
}
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
Local-first shared memory for AI coding agents: one searchable store, served over MCP. MIT.
Git-backed org memory for AI agents — hybrid search, tables, files & a URI graph over MCP.
Shared memory for coding agents and their teams: docs, epics, tasks and decisions over MCP.
Event-sourced knowledge graph memory for AI coding agents with semantic search
Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.
Cross-session memory for AI agents with a Source Receipt for every memory, over MCP.
Local personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.
Answers built from our own checks of this server.