mcp-server-decisions
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to record and retrieve architectural decision records, check precedent before making decisions, and avoid repeating past mistakes or contradicting settled choices.92 PyPI4Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to test load-bearing assumptions through an evidence-driven pipeline, detect sycophancy and causal errors, calibrate confidence, and route decisions to act, revise, or halt.MIT
- AlicenseNot gradedqualityDmaintenanceAn LLM-native decision tracking system that captures unexpected engineering outcomes as 'pressure events' to build a persistent learning foundation. It enables AI assistants to manage cases, log surprises, and promote recurring insights into global or project-specific knowledge bases.6 npmMIT
- AlicenseNot gradedqualityBmaintenanceThe decision system for agentic engineering: keeps your project's decisions, rationale, and rejected paths in plain files and surfaces them to AI coding agents before they plan or change code.11Apache 2.0
- AlicenseAqualityDmaintenanceAuto-captures decision context from multi-agent workflows to preserve the 'why' behind every choice. Enables task traceability, reasoning retrieval, and continuous improvement across planning and implementation sessions.175 npm6MIT
- AlicenseNot gradedqualityDmaintenancePersistent decision memory and contradiction detection for AI coding agents. Enforces architectural consistency across sessions — the agent cannot code until it loads prior decisions. Human resolves conflicts on a dashboard or in chat.1MIT
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: querying decisions, recording a decision, recording a prediction for that decision, and recording the outcome. There is no overlap or ambiguity.
All tool names follow the same pattern: a verb followed by a noun, using lowercase and hyphens (e.g., record-decision). The naming is perfectly consistent.
Four tools cover the core workflow of managing decisions with predictions and outcomes. The count is appropriate for this focused domain, not too few or too many.
The tool set covers the main lifecycle: querying, recording decisions, adding predictions, and logging outcomes. Missing update or delete functionality, but the core workflow is complete.