MCP Memory Server
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- AlicenseNot gradedqualityDmaintenanceProvides AI coding assistants with persistent, context-rich memory of a codebase, including documentation and git history, enabling recall across sessions.104Apache 2.0
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- AlicenseNot gradedqualityFmaintenanceProvides AI coding assistants with persistent project memory by capturing development checkpoints during git commits, branch switches, and inactivity. It enables seamless task resumption through tools that retrieve session history, momentum, and synthesized re-entry briefings.8 npm3MIT

Doclea MCPofficial
AlicenseNot gradedqualityCmaintenanceProvides persistent memory for AI coding assistants, storing and retrieving architectural decisions, patterns, and solutions across sessions using semantic search, while also offering git integration for commit messages and code expertise mapping.MIT
TDQS
Scored across 19 tools
Most tools have distinct purposes, but there is some overlap between 'update_file_metadata' and 'parse_file_metadata' that could cause confusion, as both involve metadata handling. Additionally, 'get_file_last_editor' and 'update_last_editor' are closely related but serve different functions, which is acceptable. Overall, the tools are well-differentiated with only minor ambiguities.
The tool names follow a consistent verb_noun pattern throughout, such as 'add_changelog_entry', 'find_files_with_metadata', and 'update_file_metadata'. All tools use snake_case without deviation, making the naming highly predictable and readable. This consistency aids in easy identification and usage by agents.
With 19 tools, the count is slightly high but reasonable for a memory server that manages project metadata, changelogs, and sessions. The tools cover various aspects like file operations, session management, and metadata handling, so each seems to earn its place. However, it borders on being heavy, which could overwhelm agents if not well-organized.
The tool set provides comprehensive coverage for project memory management, including CRUD operations for metadata, changelogs, and approvals, as well as session lifecycle management. Tools like 'start_session', 'add_session_step', and 'get_project_memory' ensure full session handling, while others cover file-specific actions and metadata updates, leaving no obvious gaps for the domain.