Saturday Materials runs on your own machine — the client starts it, so there is no endpoint to ping. 101 installs a week from npm. Last commit 21 Sep 2026.
Materials computing tools for AI agents: structures, engines, phonons, EOS, NEB, sampling, lineage.
We read the source, 3 d ago · rules 995398eba69f
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.
return spawn(this.python, [this.sidecar], {
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
Today is the operative word: we check Saturday Materials every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
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 saturday-materials -- npx -y @toki0413/mcp-server
{
"mcpServers": {
"saturday-materials": {
"command": "npx",
"args": [
"-y",
"@toki0413/mcp-server"
]
}
}
}
[mcp_servers.saturday-materials]
command = "npx"
args = ["-y", "@toki0413/mcp-server"]
{
"mcpServers": {
"saturday-materials": {
"command": "npx",
"args": [
"-y",
"@toki0413/mcp-server"
]
}
}
}
{
"servers": {
"saturday-materials": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toki0413/mcp-server"
]
}
}
}
Structural code-quality tools for AI coding agents.
Context Engineering Engine. Provides cognitive tools, memory structures, and agent patterns.
Structured, verifiable Unreal Engine editing for AI agents.
SEC filing MCP for AI agents — insider signals, 13F flow, material events. Pre-computed.
Engineering and GIS tools for energy and infrastructure sites, computed by real engines.
AEO tools for AI agents: crawler permissions, llms.txt, structured data, AI-readiness audit.
Code-map tools for AI agents: see a repo's structure first, then edit only what matters.
Structured execution trace and span logging for AI agents
Answers built from our own checks of this server.