Elasticsearch Knowledge Graph for MCP
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Alternatives to Elasticsearch Knowledge Graph for MCP
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- AlicenseNot gradedqualityDmaintenanceAn Elasticsearch-based AI memory system optimized for Chinese that enables persistent knowledge storage and complex entity relationship management via the Model Context Protocol. It features advanced semantic search using the IK analyzer and supports multi-zone memory isolation for specialized knowledge graphs.11 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to store, search, and relate typed memories with a graph-native knowledge base via the Model Context Protocol.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceProvides persistent, intelligent memory using Elasticsearch with hierarchical categorization and semantic search for LLM contexts.8MIT
- AlicenseNot gradedqualityCmaintenanceEnables secure and efficient interaction with Elasticsearch clusters through the Model Context Protocol, providing tools for data management, search, and export.30 npm1MIT
- AlicenseAqualityDmaintenanceA comprehensive Model Context Protocol server that integrates Elasticsearch search with file operations, document validation, and version control to transform AI assistants into powerful knowledge management systems.2725 PyPI27MIT

LogicMem MCP Serverofficial
AlicenseBqualityBmaintenanceProvides persistent memory, reasoning, agent-to-agent sharing, and immutable audit trail for AI agents via the Model Context Protocol.121MIT
TDQS
Scored across 20 tools
Most tools have distinct purposes, such as create_entities vs. update_entities or list_zones vs. zone_stats. However, some overlap exists: open_nodes and get_recent both retrieve entity details, and copy_entities vs. move_entities could be confused, though descriptions clarify differences.
Tool names follow a consistent verb_noun pattern throughout, such as create_entities, delete_relations, and inspect_files. All use snake_case with clear, descriptive verbs, making the set predictable and easy to navigate.
With 20 tools, the count is slightly high but reasonable for managing a knowledge graph with zones, entities, and relations. It covers operations like CRUD, inspection, and zone management, though it might feel heavy compared to simpler servers.
The toolset provides comprehensive coverage for a knowledge graph domain, including entity and relation CRUD, zone management (create, delete, merge, list), search capabilities, and utilities like time retrieval. No obvious gaps are present; agents can perform full lifecycle operations.