ReasonGraph Cloud memory MCP Server

by primaxiom-memory Your server? Claim it

answering

ReasonGraph Cloud memory is answering right now. Last checked moments ago. Last commit 16 Sep 2026.

Graph memory for AI agents: entities, cause-effect links, cross-session recall, time travel.

Uptime history 17 days of history · worst day 99%

17 days agonow

100.0%

Uptime 24h

92 of 92 checks

—

Tools

hidden behind auth

142 ms

Response time

average over 24h

Stars

last commit 16 Sep 2026

What the code does

We read the source, 4 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.

Builds a file path from a variable src/reasongraph/_extraction.py:378

        onnx_path = os.path.join(cache, self.onnx_file)

Executes code built at runtime src/reasongraph/_extraction.py:670

    def eval(self):

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 0 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add reasongraph --transport http https://memory.primaxiom.ai/mcp

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

{
  "mcpServers": {
    "reasongraph": {
      "url": "https://memory.primaxiom.ai/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.reasongraph]
url = "https://memory.primaxiom.ai/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "reasongraph": {
      "url": "https://memory.primaxiom.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "reasongraph": {
      "url": "https://memory.primaxiom.ai/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, but you need an API key from its owner to call it.

Endpoints

URL	Transport	State	Latency	Checked
https://memory.primaxiom.ai/mcp	streamable-http	needs key	125 ms	0 min ago

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ReasonGraph Cloud memory — questions

Answers built from our own checks of this server.

Why is there no tool list for ReasonGraph Cloud memory?

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 ReasonGraph Cloud memory working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 142 ms. The bar chart above shows every period we have measured.

How do I connect ReasonGraph Cloud 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. You will need your own key: it refuses anonymous clients.

Does ReasonGraph Cloud memory need an API key?

Yes. Every time we knock, ReasonGraph Cloud memory 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 ReasonGraph Cloud memory?

It answers our handshake in 142 ms on average, which is faster than 88% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is ReasonGraph Cloud memory open source?

Yes — it is published under the MIT licence, written in Python and 1 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.