Tempreon — Claude Code MCP server: features and setup
Tempreon carries personal knowledge and work preferences across connected AI clients. Use it when you want those tools to draw on the same context instead of starting from scratch.
claude mcp add --transport http tempreon https://api.tempreon.com/functions/v1/tempreon-mcp/mcpWhat Tempreon — Personal AI Memory does
Tempreon keeps a personal layer of knowledge, decisions, and work patterns that connected AI clients can draw on. Context collected in one client can be available in another, such as Claude Code or Cursor. The service also refines its understanding of how you work as you use it.
This is a hosted MCP server using Streamable HTTP, so there is no local process or config file to maintain. Start by creating an account and completing the introductory setup; then generate a Bridge and approve access through OAuth in your browser. Account setup and authorization are required before a client can connect.
What it helps with
- carry personal context between AI clients
- reuse decisions captured in Claude Code from Cursor
- give an agent access to established work preferences
- avoid repeating background when switching AI tools
Example prompts for the agent
- Use my saved decisions to suggest an approach to this task.
- Compare this option with my work preferences and explain any differences.
- Apply the context I saved while using another AI client.
How to install Tempreon — Personal AI Memory
Platform CLI: remote server
claude mcp add --transport http tempreon https://api.tempreon.com/functions/v1/tempreon-mcp/mcpPlatform CLI: remote server
codex mcp add tempreon-personal-ai-memory --url https://api.tempreon.com/functions/v1/tempreon-mcp/mcpConfig file
{
"mcpServers": {
"tempreon-personal-ai-memory": {
"url": "https://api.tempreon.com/functions/v1/tempreon-mcp/mcp"
}
}
}Config file
{
"servers": {
"tempreon-personal-ai-memory": {
"type": "http",
"url": "https://api.tempreon.com/functions/v1/tempreon-mcp/mcp"
}
}
}Platform CLI: remote server
gemini mcp add -t http tempreon-personal-ai-memory https://api.tempreon.com/functions/v1/tempreon-mcp/mcpStep by step, with commands for each platform: How to add an MCP server to Claude Code, Codex, Cursor, VS Code, Gemini CLI and more
Questions about Tempreon — Personal AI Memory
How do I install Tempreon in Claude Code?
Run claude mcp add --transport http tempreon https://api.tempreon.com/functions/v1/tempreon-mcp/mcp. Then create a Tempreon account, complete the profile setup, and approve the connection through OAuth in your browser.
What does Tempreon do?
It keeps personal knowledge, decisions, and work patterns available across connected AI clients, giving them shared context.
Does Tempreon run locally?
No. It is a hosted MCP server over Streamable HTTP. Clients connect to its URL and use OAuth authorization.
