mcpbeat Sign in

Cathedral — Persistent Memory for AI Agents MCP Server

answering

Cathedral — Persistent Memory for AI Agents is answering right now. Last checked 13 min ago. 99 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 41 · avg 20 · -30% w/w
a month agotoday
Uptime history 47 days of history · worst day 99%
47 days agonow
100.0%
Uptime 24h
91 of 91 checks
Tools
hidden behind auth
162 ms
Response time
average over 24h
99
Installs / week
npm and PyPI

What the code does

We read the source, 21 h ago · rules 3dff92dd89df

Capabilities

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.

Runs an external command cathedral_council_v2.py:345
        result = subprocess.run(
Secret passed into the image build mcp-server/Dockerfile:4
# Glama verification key - server starts and responds to MCP introspection
# Replace with your real key from cathedral-ai.com
ENV CATHEDRAL_API_KEY=glama-check

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

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.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 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 one needs environment variables set before it will start: CATHEDRAL_API_KEY (Your Cathedral API key from cathedral-ai.com), CATHEDRAL_BASE_URL (Cathedral API base URL (for self-hosted instances)), CATHEDRAL_SANITISE (Set to 1 to enable prompt injection filtering on memory content). The author declared them in the registry entry; get the values from the project itself.

This endpoint answered with an authorization challenge. The server is running, but it did not say what kind of credentials it expects.

Endpoints

URLTransportStateLatencyChecked
https://cathedral-ai.com/mcp streamable-http needs auth 197 ms 13 min ago

Alternatives to Cathedral — Persistent Memory for AI Agents

same job, measured the same way
Goldhold
by jerrysrodz

Persistent memory for AI agents. Search, store, and recall across sessions.

30 installs/wk answering
Memory
by velixarai

Persistent memory for AI assistants. Store, search, and recall across sessions.

146 installs/wk local only
Central Intelligence
by alekseimarchenko

Persistent memory for AI agents. Store, recall, and share knowledge across sessions.

71 installs/wk local only
Memoir
by bighippoman

Structured session journals for AI agents. Persistent memory across sessions.

30 installs/wk local only
Memorykit
by rapozoantonio

Cognitive memory for AI coding assistants — persistent memory across sessions

110 installs/wk local only
MCP Memory
by infoinlet-marketplace

Persistent searchable memory for AI agents — save/get/search across sessions, tags.

28 installs/wk local only
Total Recall
by bas-more

Persistent, verified, cross-session memory for AI agents. 26 tools. SQLite + sync.

71 installs/wk local only
Total Recall
by avi-bendetsky

Persistent, verified, cross-session memory for AI agents. 26 tools. SQLite + sync.

local only

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 162 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 credentials: 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 162 ms on average, which is faster than 74% 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 99 times in the last week. Week over week that is -30%. 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, 10 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.