# Memvid MCP Server
An [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server for [Memvid](https://memvid.com/), enabling AI agents to use persistent, file-based memory.
## Features
- **Project-based Memory**: Create and manage isolated memory files (`.mv2`) for different projects.
- **Add Content**: Store text documents, code snippets, and metadata.
- **Semantic Search**: Find relevant content using Memvid's hybrid search (lexical + semantic).
- **Ask Memory (Optional)**: Ask natural language questions about your stored data (requires OpenAI API Key).
## Installation
```bash
npm install -g memvid-mcp-server
# or
bun add -g memvid-mcp-server
```
## Configuration
This server can be used with any MCP-compliant client (e.g., Claude Desktop, Cursor).
### Environment Variables
| Variable | Description | Required |
| ---------------------- | -------------------------------------------------------------------------------------------------------- | ------------- |
| `OPENAI_API_KEY` | Your OpenAI API Key. Required to enable the `ask_memory` tool and for semantic embeddings in some modes. | No (Optional) |
| `MEMVID_LOCAL_STORAGE` | Set to `"1"` to store memory files in `./memvid_mcp` (current directory) instead of `~/.memvid_mcp`. | No (Optional) |
### Claude Desktop Configuration
Add the following to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"memvid": {
"command": "npx",
"args": ["-y", "memvid-mcp-server@latest"],
"env": {
"OPENAI_API_KEY": "sk-...",
"MEMVID_LOCAL_STORAGE": "0"
}
}
}
}
```
> **Note:** If you do not provide `OPENAI_API_KEY`, the `ask_memory` tool will not be available, but you can still use `create_or_open_memory`, `add_content`, and `search_memory` (lexical mode).
## Tools
1. **`create_or_open_memory`**: Initialize a new project memory or open an existing one.
2. **`add_content`**: Add text and metadata to the memory.
3. **`search_memory`**: Search your memory. Use `query="*"` to list all recent items.
4. **`ask_memory`**: (Optional) Ask questions about your memory using an LLM.
## Development
```bash
# Install dependencies
bun install
# Run locally
bun run src/index.ts
# Build
bun build ./src/index.ts --compile --outfile server
```
## Credits
This MCP Server is a wrapper around the powerful **Memvid SDK**.
Full credit goes to the Memvid team for their excellent technology.
- **NPM Package**: [@memvid/sdk](https://www.npmjs.com/package/@memvid/sdk)
- **Documentation**: [docs.memvid.com](https://docs.memvid.com)
