iTerm MCP Server

# mcp-memory-libsql [](https://smithery.ai/server/mcp-memory-libsql) A high-performance, persistent memory system for the Model Context Protocol (MCP) powered by libSQL. This server provides vector search capabilities and efficient knowledge storage using libSQL as the backing store. <a href="https://glama.ai/mcp/servers/22lg4lq768"> <img width="380" height="200" src="https://glama.ai/mcp/servers/22lg4lq768/badge" alt="Glama badge" /> </a> ## Features - 🚀 High-performance vector search using libSQL - 💾 Persistent storage of entities and relations - 🔍 Semantic search capabilities - 🔄 Knowledge graph management - 🌐 Compatible with local and remote libSQL databases - 🔒 Secure token-based authentication for remote databases ## Configuration This server is designed to be used as part of an MCP configuration. Here are examples for different environments: ### Cline Configuration Add this to your Cline MCP settings: ```json { "mcpServers": { "mcp-memory-libsql": { "command": "npx", "args": ["-y", "mcp-memory-libsql"], "env": { "LIBSQL_URL": "file:/path/to/your/database.db" } } } } ``` ### Claude Desktop with WSL Configuration For a detailed guide on setting up this server with Claude Desktop in WSL, see [Getting MCP Server Working with Claude Desktop in WSL](https://scottspence.com/posts/getting-mcp-server-working-with-claude-desktop-in-wsl). Add this to your Claude Desktop configuration for WSL environments: ```json { "mcpServers": { "mcp-memory-libsql": { "command": "wsl.exe", "args": [ "bash", "-c", "source ~/.nvm/nvm.sh && LIBSQL_URL=file:/path/to/database.db /home/username/.nvm/versions/node/v20.12.1/bin/npx mcp-memory-libsql" ] } } } ``` ### Database Configuration The server supports both local SQLite and remote libSQL databases through the LIBSQL_URL environment variable: For local SQLite databases: ```json { "env": { "LIBSQL_URL": "file:/path/to/database.db" } } ``` For remote libSQL databases (e.g., Turso): ```json { "env": { "LIBSQL_URL": "libsql://your-database.turso.io", "LIBSQL_AUTH_TOKEN": "your-auth-token" } } ``` Note: When using WSL, ensure the database path uses the Linux filesystem format (e.g., `/home/username/...`) rather than Windows format. By default, if no URL is provided, it will use `file:/memory-tool.db` in the current directory. ## API The server implements the standard MCP memory interface with additional vector search capabilities: - Entity Management - Create/Update entities with embeddings - Delete entities - Search entities by similarity - Relation Management - Create relations between entities - Delete relations - Query related entities ## Architecture The server uses a libSQL database with the following schema: - Entities table: Stores entity information and embeddings - Relations table: Stores relationships between entities - Vector search capabilities implemented using libSQL's built-in vector operations ## Development ### Publishing Due to npm 2FA requirements, publishing needs to be done manually: 1. Create a changeset (documents your changes): ```bash pnpm changeset ``` 2. Version the package (updates version and CHANGELOG): ```bash pnpm changeset version ``` 3. Publish to npm (will prompt for 2FA code): ```bash pnpm release ``` ## Contributing Contributions are welcome! Please read our contributing guidelines before submitting pull requests. ## License MIT License - see the [LICENSE](LICENSE) file for details. ## Acknowledgments - Built on the [Model Context Protocol](https://github.com/modelcontextprotocol) - Powered by [libSQL](https://github.com/tursodatabase/libsql)