MCP DuckDB Knowledge Graph Memory Server
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Related Servers
- FlicenseNot gradedqualityDmaintenanceA persistent graph-database memory server for Claude and other LLM agents, built on the Model Context Protocol and powered by DuckDB.-
- AlicenseBqualityFmaintenanceA persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.96MIT
- AlicenseAqualityDmaintenanceAn improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.10191 npm889MIT
- AlicenseNot gradedqualityFmaintenanceA persistent memory server for Claude Code that captures session context and tool outputs to inject relevant history into future sessions. It enables long-term recall through semantic search and automatic context management, allowing for more consistent and context-aware coding interactions.10 npm253ISC
- AlicenseNot gradedqualityDmaintenanceAn MCP server that gives Claude persistent memory by storing conversation context, entities, and enabling semantic search across sessions.13 npm1MIT
- AlicenseNot gradedqualityCmaintenanceA persistent memory system using a local knowledge graph that enables Claude to remember information about users across chats, with advanced search, graph traversal, and filtering capabilities for entities, relations, and observations.MIT
TDQS
Scored across 8 tools
Most tools have distinct purposes targeting different aspects of the knowledge graph (entities, relations, observations, nodes), though 'open_nodes' and 'search_nodes' could potentially overlap in functionality if opening involves searching. The descriptions clarify that 'open_nodes' accesses specific named nodes while 'search_nodes' performs query-based lookup, but agents might still confuse them in some scenarios.
All tools follow a consistent verb_noun pattern with snake_case naming (e.g., add_observations, create_entities, delete_relations). The verbs are clear and appropriate for the actions (add, create, delete, open, search), and there are no deviations in style or convention throughout the set.
With 8 tools, this server is well-scoped for a knowledge graph memory system. Each tool appears to serve a specific and necessary function for managing entities, relations, observations, and nodes, without being overly sparse or bloated. The count aligns well with the domain's typical CRUD and query operations.
The tool set provides strong coverage for core knowledge graph operations, including creation, deletion, and querying of entities, relations, and observations. A minor gap is the lack of update tools (e.g., update_entities or update_relations), which might require workarounds like delete-and-recreate, but the surface is otherwise comprehensive for the stated purpose.