Architecture Drift MCP
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- AlicenseAqualityBmaintenanceEnables AI agents and developers to independently verify code and documentation claims against the repository, producing evidence-backed audit reports and pull-request checks.14MIT
- AlicenseAqualityBmaintenanceEnables coding agents to analyze a repository evidence-first, answering questions as verifiable claims with source evidence, targeted test observations, and reference resolution.53Apache 2.0
- AlicenseBqualityBmaintenanceChecks AI agents' claims against primary evidence, with no model; observes only what you grant.8232 PyPIApache 2.0
- AlicenseAqualityBmaintenanceEnables a coding agent to checkpoint a workspace, rescan it after work, and compare actual filesystem and git changes against the agent's claimed paths and statements, returning confirmed, contradicted, unreported, and unverifiable evidence.4371 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables verification of portfolio claims by resolving citations to exact supporting sentences at build time, providing read-only tools to list work, find evidence, check stack mentions, and read case studies while failing the build on any unverifiable claim.MIT
- AlicenseNot gradedqualityCmaintenanceEnables checking what a device or agent reported against independent evidence, answering Worked, Problem found, or Not verified while always showing the evidence and stating its limits. Adds a night check that aggregates results across devices and keeps timing straight, leaving items without independent evidence as Not verified instead of guessing.Apache 2.0
TDQS
Scored across 10 tools
Each tool has a clearly distinct responsibility, from audit lifecycle (create/list/get) to the analysis pipeline (discover/extract/compare/adjudicate) to output generation (propose/build). No two tools appear to perform overlapping actions, making misselection unlikely.
All tool names follow a consistent verb_noun pattern using snake_case, with specific verbs like create, list, get, discover, extract, compare, adjudicate, propose, and build. There is no mixing of conventions or ambiguous verbs.
Ten tools is within the optimal range for a specialized workflow. Each tool contributes a unique step in the architecture drift detection process without redundancy or unnecessary bloat.
The tool set covers the full drift detection workflow: audit creation, source discovery, claim/fact extraction, comparison, adjudication, patch proposal, and report generation. Minor gaps exist such as no explicit audit deletion or patch application, but these are not core to the domain.