Kawa Code MCP
OfficialRelated Servers
Alternatives to Kawa Code MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceTeam-aware memory for AI coding assistants that tracks intent, records decisions, and detects real-time conflicts before commit.25305 npm-
- AlicenseAqualityAmaintenanceEnables AI coding assistants to contribute to and query a team-shared project memory, storing human-confirmed decisions with source and scope so work can continue across machines.12Apache 2.0
- AlicenseNot gradedqualityAmaintenanceFederated, privacy-first shared memory for AI coding assistants that lets you capture, review, and share team knowledge via git without a central server.4 npmApache 2.0
- AlicenseNot gradedqualityBmaintenanceA shared memory and coordination layer for AI coding agents that provides a tamper-evident timeline, conflict awareness, and attribution for multi-agent coding workflows.41 npm7Apache 2.0
- AlicenseNot gradedqualityDmaintenanceShared team memory for AI coding agents with Bayesian confidence scoring and temporal decay, enabling persistent storage and retrieval of engineering patterns across sessions.11 npm13MIT
- AlicenseAqualityAmaintenanceLocal-first memory layer for AI coding agents — captures issues, attempts, fixes, and decisions, and warns at git commit before you repeat a mistake.17330 PyPI833MIT
TDQS
Scored across 25 tools
Tools are mostly distinct, with clear descriptions differentiating similar ones like get_session_decisions and get_project_decisions. However, there is some potential confusion between check_active_intent and get_intent_changes, and between pre_edit_decision_check and pre_edit_acknowledge, though descriptions help.
All tool names use snake_case, which is consistent. However, the naming pattern varies: some use verb_noun (e.g., check_active_intent), while others use more complex prefixes like pre_edit_ or arbiter_. This minor inconsistency prevents a perfect score.
25 tools is on the higher end, but the scope of the server—managing intents, decisions, and conflicts—justifies the count. Some tools could be merged (e.g., get_session_decisions and get_project_decisions), but overall the number is reasonable for the domain.
The tool surface covers the full lifecycle of intents and decisions, including creation, activation, tracking, conflict detection, and resolution. Minor gaps exist, such as no tool to list all active intents (only team intents), and no direct deletion tool for intents, but these are manageable.