mcpbeat

Cathedral — Persistent Memory for AI Agents MCP Server

io.github.AILIFE1/cathedral-mcp
answering

Cathedral — Persistent Memory for AI Agents is answering right now. Last checked 5 min ago. 119 installs a week from pypi. Last commit 13 Jun 2026.

Persistent memory and drift detection for AI agents across session restarts.

Installs per day peak 32 · avg 14 · +23% w/w
a month agotoday
Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
152 ms
Response time
average over 24h
119
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

run in your terminal
claude mcp add cathedral-mcp --transport http https://cathedral-ai.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "cathedral-mcp": {
      "url": "https://cathedral-ai.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.cathedral-mcp]
url = "https://cathedral-ai.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "cathedral-mcp": {
      "url": "https://cathedral-ai.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "cathedral-mcp": {
      "url": "https://cathedral-ai.com/mcp"
    }
  }
}

This endpoint answered with an authorization challenge — the server is running, but you need an API key or OAuth to use it.

Endpoints

URLTransportStateLatencyChecked
https://cathedral-ai.com/mcp streamable-http needs key 171 ms 5 min ago

Cathedral — Persistent Memory for AI Agents — questions

Answers built from our own checks of this server.

Why is there no tool list for Cathedral — Persistent Memory for AI Agents?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is Cathedral — Persistent Memory for AI Agents working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 152 ms. The bar chart above shows every period we have measured.
How do I connect Cathedral — Persistent Memory for AI Agents?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You will need your own key or an OAuth login: it refuses anonymous clients.
Does Cathedral — Persistent Memory for AI Agents need an API key?
Yes. Every time we knock, Cathedral — Persistent Memory for AI Agents answers with an authorization challenge instead of its tool list — that is how we know it is running and gated rather than broken. Bring your own credentials and it will talk.
How fast is Cathedral — Persistent Memory for AI Agents?
It answers our handshake in 152 ms on average, which is faster than 73% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Cathedral — Persistent Memory for AI Agents?
The pypi package cathedral-mcp was installed 119 times in the last week. Week over week that is +23%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Cathedral — Persistent Memory for AI Agents open source?
Yes — it is published under the MIT licence, written in Python and 9 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.