MCP DuckDB Knowledge Graph Memory Server
@MCP-Mirror
关于 MCP DuckDB Knowledge Graph Memory Server
Mirror of
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"IzumiSy_mcp-duckdb-memory-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@IzumiSy/mcp-duckdb-memory-server",
"--client",
"claude"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is MCP DuckDB Knowledge Graph Memory Server?
MCP DuckDB Knowledge Graph Memory Server is a forked version of the official MCP Knowledge Graph Memory Server that replaces its JSON-based backend with DuckDB. It is designed for developers using MCP clients (e.g., Claude Desktop) who need persistent, scalable, and queryable memory storage for knowledge graphs.
How to use MCP DuckDB Knowledge Graph Memory Server?
Install automatically via Smithery (npx -y @smithery/cli install @IzumiSy/mcp-duckdb-memory-server --client claude) or manually by adding @Izumisy/mcp-duckdb-memory-server to claude_desktop_config.json with an optional MEMORY_FILE_PATH environment variable. A Docker image is also available. After setup, follow the provided interaction instructions to search and update memory during conversations.
Key features of MCP DuckDB Knowledge Graph Memory Server
- Replaces JSON backend with DuckDB for better performance and scalability
- SQL interface for complex, flexible queries
- Transaction support for data integrity
- Fuzzy search via Fuse.js on top of SQL results
- Embedded database – no external server required
- Supports indexing to improve search performance
Use cases of MCP DuckDB Knowledge Graph Memory Server
- Persistent memory for AI assistants across chat sessions
- Storing and querying large knowledge graphs with millions of entities
- Enabling rich conditional searches (e.g., “find all goals related to user X”)
- Maintaining atomic updates for concurrent MCP interactions
FAQ from MCP DuckDB Knowledge Graph Memory Server
How does this differ from the official Knowledge Graph Memory Server?
This version stores all data in a DuckDB database file instead of a JSON file, offering faster query performance, support for SQL queries, transaction safety, and better scalability for larger datasets.
What are the runtime requirements?
The server runs via npx (Node.js) and requires a Node.js runtime. Optionally, it can be used with Docker.
Where is the memory data stored?
Data is stored in a DuckDB database file. The path is set via the MEMORY_FILE_PATH environment variable (default location not specified).
Can it be used with other MCP clients besides Claude Desktop?
The README only provides configuration examples for Claude Desktop, but the server follows the MCP protocol and should work with any compatible MCP client.
Does it require authentication or special transport configuration?
No authentication or custom transport setup is mentioned in the README; it uses standard MCP stdio transport.
记忆与知识 分类下的更多 MCP 服务器
Docs MCP Server
araboldGrounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools
MemoryMesh
CheMiguel23A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.
RAG Documentation MCP Server
hannesrudolphAn MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
📓 GistPad MCP
lostintangent📓 An MCP server for managing your personal knowledge, daily notes, and re-usable prompts via GitHub Gists
Context Portal MCP (ConPort)
GreatScottyMacContext Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.
评论