Nuramem MCP MCP server

Nuramem provides cross-model persistent memory for individuals and teams. The MCP server allows AI assistants to load a shared context of decisions, plans, and references at the start of every session, enabling consistent recall across different models like Claude, ChatGPT, and Gemini. It supports saving specific information and querying past decisions to maintain continuity.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

OAuth sign-inEndpoint checked 2026-10-05Operated by LeadHash LLC

MCP endpoint (Streamable HTTP)

https://mcp.nuramem.ai/mcp

Vendor documentation

What you can do with it

Load persistent user memory at session start
Save decisions and deadlines via natural language
Query latest decisions on specific topics
Share context across team projects

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http nuramem-mcp https://mcp.nuramem.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add nuramem-mcp --url https://mcp.nuramem.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable nuramem-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "nuramem-mcp": {
      "url": "https://mcp.nuramem.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "nuramem-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.nuramem.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start nuramem-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "nuramem-mcp": {
      "type": "http",
      "url": "https://mcp.nuramem.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http nuramem-mcp https://mcp.nuramem.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "nuramem-mcp": {
      "url": "https://mcp.nuramem.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "nuramem-mcp": {
      "serverUrl": "https://mcp.nuramem.ai/mcp"
    }
  }
}

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