Magisterium MCP Server
Enables AI assistants to query the Magisterium API for authoritative Catholic Church teaching with citations.
README
[ARCHIVED] Built in 2025 before an official Magisterium MCP server existed, for personal use in Cursor. Archived now that I've moved tooling and the gap this filled has closed. Kept as a reference example of an MCP server integrating an external API — demonstrating early MCP adoption, end-to-end deployment, and AI-assistant integration.
Magisterium MCP Server
An MCP server that provides AI assistants with access to the Magisterium API for authoritative Catholic Church teaching with citations.
Exposes one tool — magisterium_query — that any MCP-compatible client (Claude Desktop, Claude Code, Cursor, etc.) can call.
Remote MCP Endpoint
The server is hosted at https://magisterium.stephens.page/mcp — no local install required.
Claude Code
Add to ~/.claude/settings.json:
{
"mcpServers": {
"magisterium": {
"type": "url",
"url": "https://magisterium.stephens.page/mcp"
}
}
}
OpenClaw
Add to ~/.openclaw/openclaw.json. OpenClaw's URL-based transport is in the schema but not yet fully supported at runtime (#55087), so use the stdio transport with a local install for now:
{
mcp: {
servers: {
"magisterium": {
command: "/bin/bash",
args: ["/path/to/magisterium_mcp_server/run-magisterium.sh"],
},
},
},
}
Once OpenClaw ships native HTTP MCP support, you can switch to the remote endpoint:
{
mcp: {
servers: {
"magisterium": {
url: "https://magisterium.stephens.page/mcp",
},
},
},
}
See the Local Setup section below for install instructions.
Claude Desktop / Cursor / Other MCP Clients
Use the Streamable HTTP URL https://magisterium.stephens.page/mcp in your client's MCP configuration. Refer to your client's docs for the exact format.
Local Setup (Optional)
If you prefer to run the server locally via stdio:
Prerequisites
- Node.js 18+ (check with
node --version) - Magisterium API key from magisterium.com
Install
git clone https://github.com/JacobStephens2/magisterium_mcp_server.git
cd magisterium_mcp_server
npm install
npm run build
Create a .env file with your API key (see .env.example):
MAGISTERIUM_API_KEY=sk_your_key_here
Verify it works:
npm test
Configuring MCP Clients for Local Use
Add to your MCP config (claude_desktop_config.json for Desktop, ~/.claude/settings.json for Claude Code):
{
"mcpServers": {
"magisterium": {
"command": "/bin/bash",
"args": ["/path/to/magisterium_mcp_server/run-magisterium.sh"]
}
}
}
Tool: magisterium_query
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
query |
string | yes | — | Question about Catholic Church teaching |
model |
string | no | magisterium-1 |
Model to use |
return_related_questions |
boolean | no | true |
Include related questions in response |
Example
{
"name": "magisterium_query",
"arguments": {
"query": "What does the Catholic Church teach about the Eucharist?"
}
}
The response includes the formatted teaching text, citations with document titles and authors, and optionally related follow-up questions.
Architecture
The server runs as a single Express process serving three endpoints:
/— Static frontend/api/query— REST API for the frontend/mcp— Streamable HTTP MCP endpoint for AI agents
Apache reverse-proxies /api and /mcp to the Node.js backend; TLS is terminated at the edge via Let's Encrypt.
Development
npm run build # Compile TypeScript to dist/
npm run dev # Watch mode — auto-rebuild on changes
npm start # Run the stdio MCP server
npm run web # Run the web server (REST API + MCP endpoint)
npm test # Test server responds to MCP handshake
The main source files are web-server.ts (Express server with REST + MCP endpoints) and mcp-magisterium.ts (stdio MCP server). After editing, run npm run build to recompile.
Troubleshooting
"Cannot find module" errors — Run npm install then npm run build.
"MAGISTERIUM_API_KEY environment variable is not set" — Ensure .env exists in the project root with your API key. The run-magisterium.sh wrapper script cds to the correct directory so dotenv can find it.
Server works manually but not in MCP client — Use the run-magisterium.sh wrapper script (not node directly). It ensures the working directory is correct regardless of how the client spawns the process.
"0 tools enabled" in Cursor — Fully quit and restart Cursor after adding the config. Check that the path in your config is correct and run-magisterium.sh is executable (chmod +x run-magisterium.sh).
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.