CLS++ Memory MCP Server

by rajamohan1950 Your server? Claim it

not responding

CLS++ Memory is listed as active in the registry but did not answer our last check. 122 installs a week from pypi.

Cross-LLM persistent memory: store context once, recall it from any AI model.

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 123 · avg 29 · -45% w/w

a month agotoday

Uptime history 48 days of history · worst day 0%

48 days agonow

11.0%

Uptime 24h

10 of 91 checks

—

Tools

hidden behind auth

1134 ms

Response time

average over 24h

122

Installs / week

npm and PyPI

CLS++ Memory does not always answer

Over the last week it answered 13.8% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add cls-memory --transport http https://www.clsplusplus.com/mcp

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

{
  "mcpServers": {
    "cls-memory": {
      "url": "https://www.clsplusplus.com/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.cls-memory]
url = "https://www.clsplusplus.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "cls-memory": {
      "url": "https://www.clsplusplus.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "cls-memory": {
      "url": "https://www.clsplusplus.com/mcp"
    }
  }
}

This one needs environment variables set before it will start: CLS_API_KEY (Your CLS++ API key (create one at https://www.clsplusplus.com/profile#api-keys)), CLS_API_URL (CLS++ API base URL). The author declared them in the registry entry; get the values from the project itself.

Endpoints

URL	Transport	State	Latency	Checked
https://www.clsplusplus.com/mcp	streamable-http	answering	125 ms	15 min ago

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CLS++ Memory — questions

Answers built from our own checks of this server.

Is CLS++ Memory working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 10 of 91 checks got a reply (11.0%), average response time 1134 ms. The bar chart above shows every period we have measured.

Is CLS++ Memory still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

The registry lists CLS++ Memory as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect CLS++ Memory?

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.

Does CLS++ Memory need an API key?

No. CLS++ Memory completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. This is what we observed, not what the docs claim.

How fast is CLS++ Memory?

It answers our handshake in 1134 ms on average, which is faster than 6% 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.

How many people use CLS++ Memory?

The pypi package clsplusplus was installed 122 times in the last week. Week over week that is -45%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.