ForgeCraft runs on your own machine — the client starts it, so there is no endpoint to ping. 69 installs a week from npm. Last commit 14 Sep 2026.
Production engineering standards for AI coding assistants. Setup once, remove when done.
We read the source, 20 h ago · rules 3dff92dd89df
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.
const hasFile = (rel: string) => fs.existsSync(path.join(base, rel));
const result = spawnSync(cmd, {
- Implement row-count and distribution checks between stages. A sudden drop or spike in row count (> 20% deviation from baseline) should trigger an alert and pause downstream processing.
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 forgecraft -- npx -y forgecraft-mcp
{
"mcpServers": {
"forgecraft": {
"args": [
"-y",
"forgecraft-mcp"
],
"command": "npx"
}
}
}
[mcp_servers.forgecraft]
command = "npx"
args = ["-y", "forgecraft-mcp"]
{
"mcpServers": {
"forgecraft": {
"args": [
"-y",
"forgecraft-mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"forgecraft": {
"args": [
"-y",
"forgecraft-mcp"
],
"command": "npx"
}
}
}
Productivity framework for DevOps engineers using AI assistance (Claude Code) while working on PoCs
Engineering decisions, change impact, documentation audits, and CI evidence for coding assistants.
Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.
Persistent engineering memory for AI coding agents. Survives refactors, knows when it is stale.
AI coding standards that enforce production-grade code with DDD, SOLID, TDD guardrails.
SQL analytics and data engineering for AI Assistants and IDEs
Context engineering for AI coding agents: product context, project missions, and 360 memory.
Always-on performance engineering for your own code: proven pull requests, the merge stays yours.
Answers built from our own checks of this server.