Kagura Memory Cloud MCP Server

by kagura-ai Your server? Claim it

answering

Kagura Memory Cloud is answering right now. Last checked 13 min ago. Last commit 10 Oct 2026.

Persistent memory for AI assistants: store, search, and connect knowledge across conversations.

Uptime history 18 days of history · worst day 98%

18 days agonow

100.0%

Uptime 24h

91 of 91 checks

—

Tools

hidden behind auth

1407 ms

Response time

average over 24h

Stars

last commit 10 Oct 2026

What the code does

We read the source, 1 d ago · rules ccca72095570

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 backend/src/cli/create_admin.py:84, backend/src/cli/reset_password.py:89

        result = subprocess.run(

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.

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.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add memory-cloud --transport http https://memory.kagura-ai.com/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "memory-cloud": {
      "url": "https://memory.kagura-ai.com/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.memory-cloud]
url = "https://memory.kagura-ai.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "memory-cloud": {
      "url": "https://memory.kagura-ai.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "memory-cloud": {
      "url": "https://memory.kagura-ai.com/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URL	Transport	State	Latency	Checked
https://memory.kagura-ai.com/mcp	streamable-http	sign-in	1212 ms	13 min ago

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Kagura Memory Cloud — questions

Answers built from our own checks of this server.

Why is there no tool list for Kagura Memory Cloud?

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 Kagura Memory Cloud 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 1407 ms. The bar chart above shows every period we have measured.

How do I connect Kagura Memory Cloud?

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 sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.

How do you sign in to Kagura Memory Cloud?

No API key is involved. Kagura Memory Cloud answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.

How fast is Kagura Memory Cloud?

It answers our handshake in 1407 ms on average, which is faster than 3% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Kagura Memory Cloud open source?

Yes — it is published under the Apache-2.0 licence, written in Python, 12 stars on GitHub and 9 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.