Creedspace MCP Server runs on your own machine — the client starts it, so there is no endpoint to ping. 101 installs a week from npm. Last commit 6 Aug 2026.
Constitutional-AI safety guardrails for any LLM — personas, constitutions, adjudication.
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.
postinstall: node -e "try{const f='./dist/postinstall.js';require('fs').existsSync(f)&&require(f)}catch{}"
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 creedspace-mcp-server -- npx -y @creedspace/mcp-server
{
"mcpServers": {
"creedspace-mcp-server": {
"args": [
"-y",
"@creedspace/mcp-server"
],
"command": "npx"
}
}
}
[mcp_servers.creedspace-mcp-server]
command = "npx"
args = ["-y", "@creedspace/mcp-server"]
{
"mcpServers": {
"creedspace-mcp-server": {
"args": [
"-y",
"@creedspace/mcp-server"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"creedspace-mcp-server": {
"args": [
"-y",
"@creedspace/mcp-server"
],
"command": "npx"
}
}
}
Constitutional guardrails and loop detection for AI agents
Static linter for CLAUDE.md-style agent constitution files: 10 operational-guardrail checks.
Static linter for CLAUDE.md-style agent constitution files: 10 operational-guardrail checks.
Merge gates and safety checks for AI coding agents via MCP.
Operational memory for AI agents: code graph, session memory & guardrails. No context rot.
Runtime constitutional verification for AI answers — claim reasoning, ECS, red team, audits.
Security guardrails for AI agent payments
Audit AI/LLM features for governance guardrails: confidence, fallback, validation, human-in-loop.
Answers built from our own checks of this server.