Brain-MCP
Related Servers
Alternatives to Brain-MCP
No user-submitted related servers found.
Related Servers
AlicenseAqualityCmaintenanceProvides persistent memory capabilities for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.2563 npmMIT- AlicenseBqualityCmaintenanceProvides persistent memory for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.5063 npmMIT
- FlicenseAqualityAmaintenanceProvides persistent adaptive memory management with tools for storing, recalling, contextualizing, and consolidating memories, along with graph queries and feedback mechanisms.18-
- FlicenseBqualityDmaintenanceEnables persistent memory for AI systems by providing tools for episodic, semantic, and procedural data storage through a vector-and-graph-enhanced database. It allows models to maintain long-term continuity using similarity search, thematic clustering, and identity tracking.241-

Hebbrix MCP Serverofficial
AlicenseAqualityAmaintenanceProvides long-term memory and a temporal knowledge graph for AI agents, enabling persistent memory and reasoning across sessions.3330 PyPI2MIT- AlicenseAqualityAmaintenanceCognitive memory engine for AI agents with 5,100+ knowledge modules, circadian rhythm awareness, emotional state tracking (PAD model), and hybrid semantic search. Supports persistent per-user memory, project-scoped contexts, and multi-protocol access.2623Apache 2.0
TDQS
Scored across 24 tools
Most tools have distinct purposes, but some overlap exists. For example, 'getThinkingProgress' and 'getThinkingStats' both provide statistics about thinking processes, which could cause confusion. However, the descriptions clarify that one focuses on a specific thought chain while the other gives overall statistics, helping to differentiate them.
Tool names follow a highly consistent verb_noun pattern throughout, such as 'addLongTermMemory', 'getActiveChains', and 'updateLongTermMemory'. All tools use camelCase with clear, descriptive verbs and nouns, making them predictable and easy to understand.
With 24 tools, the count is borderline high for a cognitive processing server. While the domain is complex, this many tools might feel heavy and could overwhelm agents, though each tool appears to serve a specific function in memory and thought management.
The tool set provides comprehensive coverage for cognitive processing, including CRUD operations for memories (add, get, update, delete), thought chain management (start, branch, complete, pause, resume), and system monitoring (stats, progress). There are no obvious gaps, supporting full lifecycle management of thoughts and memories.