creedspace-mcp

creedspace-mcp

AI safety guardrails for any LLM in ~10 seconds: constitutional-AI content evaluation over MCP, with six configurable personas.

Category
Visit Server

README

creedspace-mcp-server

Universal MCP server for Creed Space - AI safety guardrails in 10 seconds.

npm version smithery badge License: MIT

Available in

The server is published to the canonical MCP catalogues, so registry-aware clients can discover and install it directly — or use any command in Quick Start below.

  • npm — @creedspace/mcp-server, the package every install path resolves to.
  • Official MCP Registry — io.github.Creed-Space/creedspace-mcp-server.
  • GitHub — source, issues, and the server.json manifest.
  • Smithery — nell/creedspace, a gateway-fronted Streamable HTTP endpoint.

Also rolling out across the wider MCP ecosystem: mcp.directory, mcpservers.org, PulseMCP (via the registry ingest), and mcp.so.

Quick Start

# STDIO transport (Claude Desktop, OpenAI Codex)
npx @creedspace/mcp-server --persona ambassador

# HTTP transport (OpenAI Agents SDK)
npx @creedspace/mcp-server --transport http --port 3100

# Test API connection
npx @creedspace/mcp-server test

What is Creed Space?

Creed Space provides personalized AI safety guardrails through Constitutional AI personas. Each persona enforces specific values and behaviors, ensuring AI assistants operate within defined ethical boundaries.

  • 🛡️ Reduces harmful AI outputs via constitutional evaluation of every response
  • 🎯 Refuses dangerous prompts according to the active persona's values
  • 🚀 10-second setup with any MCP-compatible AI

Available Personas

Persona Icon Purpose
Ambassador 🤝 Professional communication
Nanny 👶 Child-safe interactions
Sentinel 🛡️ Privacy and security focus
Godparent 🕊️ Religious and ethical guidance
Muse 🎨 Creative exploration
Anchor ⚓ Reality grounding

Installation

Option 1: Use with npx (Recommended)

# No installation needed - just run!
npx @creedspace/mcp-server --persona ambassador

Option 2: Global Installation

npm install -g @creedspace/mcp-server
creedspace-mcp --persona ambassador

Option 3: Project Dependency

npm install @creedspace/mcp-server

Claude Desktop Integration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "creedspace": {
      "command": "npx",
      "args": ["@creedspace/mcp-server", "--persona", "ambassador"]
    }
  }
}

Then restart Claude Desktop to load the Creed Space guardrails.

Configuration

Environment Variables

# .env file
CREEDSPACE_API_URL=https://api.creed.space
CREEDSPACE_API_KEY=your-api-key-here  # Optional
CREEDSPACE_DEFAULT_PERSONA=ambassador

Command Line Options

creedspace-mcp \
  --persona ambassador \
  --url https://api.creed.space \
  --api-key YOUR_KEY \
  --cache-ttl 300000 \
  --offline

# HTTP Transport Options
creedspace-mcp \
  --transport http \
  --port 3100 \
  --host localhost \
  --api-key YOUR_KEY \
  --cors \
  --cors-origin http://localhost:3000 \
  --stateless

Transport Types

Transport Use Case Platforms
stdio (default) Local subprocess communication Claude Desktop, OpenAI Codex
http HTTP server for remote/local connections OpenAI Agents SDK, custom integrations

Configuration File

# Generate example configs
creedspace-mcp --generate-config

# Use config file
creedspace-mcp --config creedspace.json

Available MCP Tools

The server provides 16 tools to MCP clients:

Constitutions

  • get_constitution - Get the merged constitution for a persona
  • get_constitution_by_id - Get a specific constitution by ID
  • search_constitutions - Search the constitution library

Personas

  • list_personas - List all available personas
  • set_persona - Switch the active persona
  • get_active_persona - Get the currently active persona
  • get_uvc_qualities - Get desired/disliked/never qualities
  • get_system_prompt - Get a complete persona system prompt
  • preview_export - Preview the export configuration

Runtime guardrails

  • adjudicate - Get a policy decision kernel for a request
  • attest_response - Validate a response against the active creed
  • get_anchor - Get a compact non-negotiable-rules anchor
  • heartbeat - Periodic re-anchoring to prevent context drift
  • clear_cache - Clear the local cache

Multi-scale value handshake

  • perform_multi_scale_handshake - N-party value handshake across micro/meso/macro scales
  • get_scale_attestation - Get an attestation record with hash chain

Programmatic Usage

import { CreedSpaceMCPServer } from '@creedspace/mcp-server';

// Start server programmatically
const server = new CreedSpaceMCPServer({
  persona: 'ambassador',
  apiUrl: 'https://api.creed.space',
  cacheEnabled: true
});

await server.start();
// Use the API client directly
import { CreedSpaceClient } from '@creedspace/mcp-server';

const client = new CreedSpaceClient();
const personas = await client.getPersonas();
const constitution = await client.getMergedConstitution('ambassador');

Platform Integration Examples

OpenAI Agents SDK (HTTP Transport)

from agents import Agent
from agents.mcp import MCPServerStreamableHttp

# Start the server first:
# npx @creedspace/mcp-server --transport http --port 3100

server = MCPServerStreamableHttp(
    url="http://localhost:3100/mcp",
    name="creedspace"
)

agent = Agent(
    name="safe-agent",
    tools=[server.get_tools()]
)

# The agent now has access to Creed Space safety tools

OpenAI Codex (STDIO Transport)

Add to ~/.codex/config.toml:

[mcp_servers.creedspace]
command = "npx"
args = ["@creedspace/mcp-server", "--persona", "ambassador"]

[mcp_servers.creedspace.env]
CREEDSPACE_API_URL = "https://api.creed.space"

VS Code / Cursor

{
  "mcp.servers": {
    "creedspace": {
      "command": "npx",
      "args": ["@creedspace/mcp-server", "--persona", "ambassador"]
    }
  }
}

Continue.dev

{
  "models": [{
    "provider": "openai",
    "mcp_servers": [{
      "command": "npx",
      "args": ["@creedspace/mcp-server"]
    }]
  }]
}

LangChain

from langchain.tools import MCPTool

creedspace = MCPTool(
    command="npx",
    args=["@creedspace/mcp-server", "--persona", "ambassador"]
)

Testing

# Test API connection
npx @creedspace/mcp-server test

# Test with specific URL
npx @creedspace/mcp-server test --url http://localhost:8000

Offline Mode

The server includes intelligent caching for offline usage:

# Enable offline mode with cached data
creedspace-mcp --offline --persona ambassador

Development

# Clone the repository
git clone https://github.com/Creed-Space/creedspace-mcp-server.git
cd creedspace-mcp-server

# Install dependencies
npm install

# Build TypeScript
npm run build

# Run in development mode
npm run dev

# Run tests
npm test

API Documentation

Full API documentation available at https://api.creed.space/api-docs

Support

License

MIT © Nell Watson


Building critical AI safety infrastructure that shapes autonomous AI-human value interaction.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured