AI & MemoryMCP RegistryremoteB · 68

Tempreon — Personal AI Memory MCP server

Name: Tempreon — Personal AI Memory
Author: tempreon.com

com.tempreon · Updated 6d ago

Person-owned AI memory: portable context for any MCP client.

At a glance

Tempreon — Personal AI Memory is an MCP server in the AI & Memory category. It is hosted remotely and connects over HTTP, and declares no required credentials. It scores B (68/100) on the MCP Skills Hub health score as of Oct 27, 2026.

Source 0

One-click install

VS Code VS Code Insiders Cursor

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install Tempreon — Personal AI Memory in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install Tempreon — Personal AI Memory in Claude CodeAnthropic's agentic CLI

Add the server

bash

claude mcp add --transport http tempreon https://api.tempreon.com/functions/v1/tempreon-mcp/mcp

2
Verify it's connected
bash
```
claude mcp list
```
Sharing it with your team?
Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).
Use it in a session
Ask Claude to use the tools this server exposes. It discovers them automatically.

How to install Tempreon — Personal AI Memory in Claude DesktopDesktop app (MCP config)

Open your MCP config
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this server

json

{
  "mcpServers": {
    "tempreon": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.tempreon.com/functions/v1/tempreon-mcp/mcp"
      ]
    }
  }
}

Why the wrapper?
This is a remote (HTTP) server and Claude Desktop only launches local processes, so mcp-remote proxies the connection. It will open a browser window if the server needs OAuth.
Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.

How to install Tempreon — Personal AI Memory in CursorAI-first code editor

Create / edit .cursor/mcp.json in your project

json

{
  "mcpServers": {
    "tempreon": {
      "url": "https://api.tempreon.com/functions/v1/tempreon-mcp/mcp"
    }
  }
}

Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.

How to install Tempreon — Personal AI Memory in Codex CLIOpenAI coding agent

Add to ~/.codex/config.toml

toml

[mcp_servers.tempreon]
command = "npx"
args = ["-y", "mcp-remote", "https://api.tempreon.com/functions/v1/tempreon-mcp/mcp"]

Why the wrapper?
Codex runs MCP servers as local processes, so mcp-remote bridges this HTTP endpoint to stdio.
Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.

How to install Tempreon — Personal AI Memory in WindsurfCodeium's agentic IDE

Edit ~/.codeium/windsurf/mcp_config.json

json

{
  "mcpServers": {
    "tempreon": {
      "serverUrl": "https://api.tempreon.com/functions/v1/tempreon-mcp/mcp"
    }
  }
}

Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.

How to install Tempreon — Personal AI Memory in ClineVS Code autonomous agent

Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.

Add the server

json

{
  "mcpServers": {
    "tempreon": {
      "type": "streamableHttp",
      "url": "https://api.tempreon.com/functions/v1/tempreon-mcp/mcp"
    }
  }
}

How to install Tempreon — Personal AI Memory in VS CodeCopilot / MCP support

Create .vscode/mcp.json

json

{
  "servers": {
    "tempreon": {
      "type": "http",
      "url": "https://api.tempreon.com/functions/v1/tempreon-mcp/mcp"
    }
  }
}

Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.

What tools does Tempreon — Personal AI Memory expose?

This server requires credentials before it will list its tools, so we cannot enumerate them here. Connect it in your client to see what it offers.

What the code can do

This is a remote server — nothing is installed or run on your machine, so there is no local code to analyze. What it can reach is described above: your requests go to the provider's host.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

Third-party hosted service — Your requests and any data in them are sent to api.tempreon.com.
No local execution — Nothing is installed or run on your machine.

Last commit 26 days ago — Actively maintained.
0 GitHub stars — Very little community usage so far.

Client compatibility

Claude Code: NativeClaude Desktop: Via mcp-remoteCursor: NativeCodex CLI: Via mcp-remoteWindsurf: NativeCline: NativeVS Code: Native

Health score

B · 68

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

Maintenance30%100%
Last commit 26 days ago.
Adoption20%0%
0 stars.
Transparency20%75%
3/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✗ discoverable tool list.
Provenance15%75%
Links to its own repository; package linkage unverified.
Packaging15%75%
Remote endpoint; authentication requirements not declared.

Documentation

Full README

Tempreon

The MCP layer between you and every AI tool. Your voice, your decisions, your judgment. Across Claude, ChatGPT, Cursor, and any MCP-capable client.

tempreon.com · Documentation · Pricing · Use cases · About

What Tempreon is

Tempreon is a portable knowledge layer about you, connected to AI tools through the Model Context Protocol (MCP). Where a company knowledge base brings a company's knowledge to AI, Tempreon brings *you* to AI — your voice, your decisions, your accumulated knowledge, your judgment — across every LLM you use.

Where most memory systems store and recall, Tempreon learns and grows. The model changes. The layer travels. The work compounds.

What it does

Persistent identity layer. Your Core Imprint, Knowledge Vault, Instincts, and captured patterns travel with you across every AI tool you connect.
Cross-LLM continuity. Knowledge captured in Claude is available in ChatGPT, Cursor, Codex, and any MCP-capable client. No re-explaining.
Learning, not just memory. Tempreon doesn't only store what you said — it learns from how you actually work, what you decide, and refines those patterns over time.
Person-centered, not company-centered. Built around the individual operator, consultant, founder, or knowledge worker — not the team or department.

See tempreon.com/use-cases for how operators, consultants, founders, sales professionals, knowledge workers, and others put Tempreon to work.

How it works

Create your Tempreon account at tempreon.com. Complete the 13-dimension onboarding to seed your Core Imprint (~15 minutes).
Connect a Bridge. Generate a Bridge URL from your dashboard, paste it into your MCP client (Claude Desktop, ChatGPT, Cursor, etc.), and authorize via OAuth in your browser.
Use any AI tool. Your Tempreon layer is available across every connected client. As you work, Tempreon captures knowledge and refines instincts in the background.

For terminology specific to Tempreon (Core Imprint, Knowledge Vault, Forge Journey, Bridges, Instincts, and more), see the glossary.

Supported clients

Excerpt — the full document is on GitHub.

Alternatives to Tempreon — Personal AI Memory

Maintain Tempreon — Personal AI Memory? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

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Catalog data refreshed Oct 27, 2026. Something wrong? Report it.