STATA-MCP Repro
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- FlicenseBqualityDmaintenanceStructured workspace runtime for long-running coding agents, providing controlled workspace capabilities with task state, snapshots, checkpoints, drift detection, verification evidence, audit logs, and structured handoff.20-
- FlicenseBqualityBmaintenanceEnables AI coding assistants to run a machine-verified DESIGN→PLAN→EXECUTE→VERIFY→COMPLETE workflow with human approval gates, state integrity checks, and DAG task scheduling.7-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to maintain project continuity through a file-based state hub with tasks, phases, and handoff snapshots. Provides MCP tools for reading and updating project state, with gatekeeping enforced via real-state evaluation and per-tool authorization.2MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to turn local projects into persistent workspaces, providing file editing, command execution, Git integration, and cross-session history management.-
- AlicenseNot gradedqualityAmaintenanceRun dynamic, multi-agent workflow scripts — agent(), parallel(), pipeline() — over real coding agents (Claude Code and OpenAI Codex), with deterministic journaling, resume, token budgets, and git-worktree isolation.7Apache 2.0
- FlicenseNot gradedqualityCmaintenanceEnables multiple AI coding agents to coordinate on a shared software project by registering, claiming tasks, declaring file intents, publishing structured change reports, and handing off context, with a local dashboard showing state in near real time.-
TDQS
Scored across 22 tools
Active tools have distinct purposes across planning, project management, run lifecycle, data inspection, and output retrieval. Deprecated tools are clearly labeled with redirecting messages, so misselection is unlikely despite some overlap in names.
All tools use snake_case, but there is a clear split: active tools favor object_verb naming (e.g., run_prepare, data_inspect) while deprecated tools use verb_object naming (e.g., write_dofile, read_file). This mixed pattern reduces readability, though deprecated markers mitigate confusion.
The total of 22 tools is heavy, and 9 of them are deprecated, artificially inflating the surface. The active 13 tools form a well-scoped set, but the obsolete entries should be removed to bring the count into an ideal range.
The active tool chain covers the full reproducibility lifecycle: plan preparation and approval, project initialization, run preparation/execution/monitoring, and artifact retrieval. Minor gaps like lack of list operations for runs or projects are workable.