adm-mcp
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- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to read and manage a Git-native decision ledger, providing tools for querying decisions, evidence, cross-repository workspaces, validation, and commit tracing, all operating locally and without a cloud service.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to store and retrieve design decisions as Markdown in git repositories, and check new proposals against historical decisions via MCP.MIT

Tently MCPofficial
AlicenseNot gradedqualityAmaintenanceEnables coding agents such as Claude Code and Cursor to check a team's learned decisions from pull requests, reviews, and docs before writing code, showing whether breaking them is blocking or advisory. It also provides locally computed symbol impact/blast-radius analysis so source code never leaves the machine.175 npm1MIT- AlicenseNot gradedqualityBmaintenanceProvides AI coding agents with git-native persistent memory and a dependency-aware task graph, letting them record and fuzzy-recall architectural decisions, lessons, and gotchas while creating, claiming, and completing tasks that auto-unblock downstream work. Stores everything as plain JSON and Markdown committed inside the repository, so context stays branch-aware, team-shared, and reviewable in pull requests.6 npmMIT
- AlicenseNot gradedqualityAmaintenanceThe 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
- FlicenseNot gradedqualityCmaintenanceEnables preserving, querying, and managing engineering decisions with reasoning and evidence through CLI, HTTP API, and MCP tools.16-
TDQS
Scored across 7 tools
Most tools have clearly distinct purposes: record vs. supersede, search vs. conflict checking, and linking requirements. Minor overlap exists because list_constraints covers a subset of what search_decisions can return, and get_context_for_task also surfaces constraints, so an agent may occasionally hesitate between lookup and context tools.
All seven tools use consistent snake_case and are verb-first (record_decision, search_decisions, get_context_for_task, list_constraints, supersede_decision, check_conflicts, link_requirement). The pattern is predictable and none of the names are misleading.
Seven tools is well within the ideal 3–15 range for a decision and constraint management server. Each tool maps to a distinct operation, and none feels padded or redundant.
The surface covers the core ADR/constraint lifecycle: record, search, context retrieval, supersede, conflict checking, and requirement linking. Minor gaps exist, such as no direct get-by-id or delete/unlink operation, but supersede and search largely compensate for these.