
MCP Memory LibSQL
A high-performance, persistent memory system for the Model Context Protocol (MCP) providing vector search capabilities and efficient knowledge storage using libSQL as the backing store.
joleyline
Tools
create_relations
Create relations between entities
delete_entity
Delete an entity and all its associated data (observations and relations)
delete_relation
Delete a specific relation between entities
create_entities
Create new entities with observations and optional embeddings
search_nodes
Search for entities and their relations using text or vector similarity
read_graph
Get recent entities and their relations
README
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:
{
"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.
Add this to your Claude Desktop configuration for WSL environments:
{
"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:
{
"env": {
"LIBSQL_URL": "file:/path/to/database.db"
}
}
For remote libSQL databases (e.g., Turso):
{
"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:
- Create a changeset (documents your changes):
pnpm changeset
- Version the package (updates version and CHANGELOG):
pnpm changeset version
- Publish to npm (will prompt for 2FA code):
pnpm release
Contributing
Contributions are welcome! Please read our contributing guidelines before submitting pull requests.
License
MIT License - see the LICENSE file for details.
Acknowledgments
- Built on the Model Context Protocol
- Powered by libSQL
Recommended Servers
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Playwright MCP Server
Provides a server utilizing Model Context Protocol to enable human-like browser automation with Playwright, allowing control over browser actions such as navigation, element interaction, and scrolling.
Apple MCP Server
Enables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.
contentful-mcp
Update, create, delete content, content-models and assets in your Contentful Space

Supabase MCP Server
A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface.
serper-search-scrape-mcp-server
This Serper MCP Server supports search and webpage scraping, and all the most recent parameters introduced by the Serper API, like location.
The Verge News MCP Server
Provides tools to fetch and search news from The Verge's RSS feed, allowing users to get today's news, retrieve random articles from the past week, and search for specific keywords in recent Verge content.
MCP Server Trello
Facilitates interaction with Trello boards via the Trello API, offering features like rate limiting, type safety, input validation, and error handling for seamless management of cards, lists, and board activities.
MCP DuckDB Knowledge Graph Memory Server
A memory server for Claude that stores and retrieves knowledge graph data in DuckDB, enhancing performance and query capabilities for conversations with persistent user information.