semvec/pypi-packages huggingface dataset:
timem-mcp 0.1.3
TiMEM MCP Server - Model Context Protocol server for TiMEM Engine
License: MIT
Requires Python: >=3.8
Keywords: ai, mcp, memory, model-context-protocol, timem

# TiMEM MCP Server

[Model Context Protocol](https://modelcontextprotocol.io) server for [TiMEM Engine](https://timem.cloud), providing memory management tools for AI applications.

## Get Your API key

To use this server, you need to obtain an API key from [TiMEM Engine](https://console.timem.cloud).


## Configure and Use

### Configure

Add to your AI IDE configuration:

```json
{
  "mcpServers": {
    "TiMEM-MCP": {
      "command": "uvx",
      "args": ["timem-mcp"],
      "env": {
        "TiMEM_API_KEY": "<your-api-key>",
        "TiMEM_API_HOST": "https://api.timem.cloud",  // optional
        "TiMEM_USER_ID": "<your-user-id>" // optional
      }
    }
  }
}
```

The server reads configuration from environment variables:

| Variable | Required | Default | Description |
|----------|----------|---------|-------------|
| `TiMEM_API_KEY` | Yes | - | Your TiMEM Engine API key |
| `TiMEM_USER_ID` | No | - | User identifier for memory operations |
| `TiMEM_API_HOST` | No | `https://api.timem.cloud` | TiMEM Engine API endpoint |

### Add Rules

Add the following rules to your AI IDE:

```text
当识别到“请记住”或你认为需要积累的记忆、经验时，请调用create_memory tool；

当你认为需要检索历史记忆时，调用search_memories搜索相关记忆。
```

```text
When you identify "please remember" or you think you need to accumulate memories or experiences, please call the create_memory tool;

When you think you need to retrieve past memories, call the search_memories tool.
```


### Use

Restart your AI IDE and chat!

## Available Tools

### `create_memory`

Create memories from conversation history.

**Parameters:**
- `messages` (required): List of message objects with `role` and `content`
- `session_id` (required): Session identifier
- `expert_id` (optional): Expert ID, default "default"
- `domain` (optional): Business domain, default "general"


### `search_memories`

Search and retrieve stored memories.

**Parameters:**
- `query` (optional): Search keywords
- `layer` (optional): Memory layer (L1-L5)
- `domain` (optional): Business domain
- `limit` (optional): Result count, default 10


## Development

```bash
# Run with MCP Inspector
npx @modelcontextprotocol/inspector uvx --from <your-local-path> timem-mcp -e TiMEM_API_HOST=http://localhost:8000 -e TiMEM_API_KEY=<your-api-key>
```

## License

MIT License - see LICENSE file for details.