coldstart runs on your own machine — the client starts it, so there is no endpoint to ping. 103 installs a week from npm. Last commit 29 Oct 2026.
Codebase memory for AI agents: an AST index plus agent-written notes that self-stale.
We read the source, 4 d 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.
execFileSync(bin, args, { cwd, stdio: 'ignore', timeout: 4000, windowsHide: true });
const filePath = path.join(cwd, relFile);
mb.innerHTML = morder.filter(([k])=>fr[k]).map(([k,v])=>
Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.
curl -s -X POST "https://api.cloudflare.com/client/v4/zones/${{ secrets.CF_ZONE_ID }}/purge_cache" \
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 coldstart -- npx -y @cstart/coldstart
{
"mcpServers": {
"coldstart": {
"command": "npx",
"args": [
"-y",
"@cstart/coldstart"
]
}
}
}
[mcp_servers.coldstart]
command = "npx"
args = ["-y", "@cstart/coldstart"]
{
"mcpServers": {
"coldstart": {
"command": "npx",
"args": [
"-y",
"@cstart/coldstart"
]
}
}
}
{
"servers": {
"coldstart": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cstart/coldstart"
]
}
}
}
Persistent codebase intelligence that gives AI assistants memory across sessions
Persistent codebase intelligence that gives AI assistants memory across sessions
Persistent code memory for AI agents: notes pinned to files and symbols that survive refactors.
Code-pinned team memory for AI coding agents — typed artifacts, MCP-native, self-host.
Shared, git-tracked working memory for AI agents on the same codebase.
Persistent engineering memory for AI coding agents. Survives refactors, knows when it is stale.
Persistent memory for AI agents, for code, research and everyday life. Stale facts retire.
AGENTS.md and project memory for AI coding agents that stays correct: rules checked against git
Answers built from our own checks of this server.