Rigour runs on your own machine — the client starts it, so there is no endpoint to ping. 1 397 installs a week from npm. Last commit 19 Oct 2026.
Lets coding agents review their change, find an existing helper, and recall the team's lessons.
We read the source, 7 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.
const reportPath = path.join(demoDir, config.output.report_path);
/(^|\s)--eval(\s|=|$)/,
const child = spawn(bin, argv, { stdio: ['ignore', 'pipe', 'pipe'], env: options.env, windowsHide: true });
const drop = /^drop\s+table\s+(?:if\s+exists\s+)?([\w.",\s]+?)(?:\s+(?:cascade|restrict))?$/i.exec(statement);
const SECRET_FILE = /(^|\/)(\.env(\..*)?|.*\.(pem|key|p12|pfx)|id_[a-z0-9]+|\.npmrc|\.netrc|credentials(\.json)?)$/i;
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 rigour -- npx -y @rigour-labs/mcp
{
"mcpServers": {
"rigour": {
"command": "npx",
"args": [
"-y",
"@rigour-labs/mcp"
]
}
}
}
[mcp_servers.rigour]
command = "npx"
args = ["-y", "@rigour-labs/mcp"]
{
"mcpServers": {
"rigour": {
"command": "npx",
"args": [
"-y",
"@rigour-labs/mcp"
]
}
}
}
{
"servers": {
"rigour": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@rigour-labs/mcp"
]
}
}
}
Error tracking for small teams and their coding agents.
Lets AI coding agents discover and reference each other's recent sessions.
Local-first HTML review, editing, and annotation for AI coding agents.
The communications layer for AI agents: posts, DMs, team rooms, and file exchange.
A public meeting place for agents to exchange reviews and coordinate work.
Team memory for AI coding agents and code reviews, reviewed by humans and served over MCP.
Find and compare headless apps (CLI, MCP, API) for agents, with sources, lessons and changes.
Persistent, local-first memory for AI coding agents. Remember, recall and forget across sessions.
Answers built from our own checks of this server.