opendrs
Related Servers
Alternatives to opendrs
No user-submitted related servers found.
Related Servers
AlicenseAqualityDmaintenanceEnables AI agents to screen GitHub repositories and pull requests for risk analysis, generating risk scores, findings, and merge-readiness signals.5MIT- AlicenseNot gradedqualityDmaintenanceConnect engineering metrics, DORA performance, deploy risk scoring, and PR health to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.MIT
- AlicenseAqualityBmaintenanceEnables code-review gating by converting a git diff into a typed verdict with safety probabilities, severity, and recommended actions for auto-merge or human review.11MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to analyze git diffs for behavior-aware change reports, map downstream blast radius, and enforce deterministic risk gates through the Model Context Protocol.26 npm4MIT

CodePeel MCP Serverofficial
AlicenseAqualityDmaintenanceEnables AI agents to review code diffs for bugs, security issues, and bad patterns, and generate fixes.4MIT- AlicenseNot gradedqualityBmaintenanceEnables coding agents to scout, rank, and preflight software work before implementation, returning evidence-backed ACT, VERIFY, or SKIP decisions for issues and pull requests.74 npm2MIT
TDQS
Scored across 6 tools
While most tools target distinct functions (e.g., scoring a diff vs listing hotspots), there is significant conceptual overlap between `list_hotspots` and `explain_file_risk`. A user might find these boundary definitions slightly confusing when deciding which tool to use for a specific task.
All tools follow a highly predictable and consistent snake_case verb_noun pattern throughout. The names are descriptive and adhere strictly to the chosen convention.
The server is highly specialized in code risk assessment and review workflows. With 6 tools, the set is perfectly scoped, providing comprehensive coverage without unnecessary bloat or excessive complexity.
For its stated purpose—risk-aware development and automated review—the tools cover discovery (hotspots), quantitative assessment (score_diff), qualitative assessment (review_brief), and proactive workflow aid (self_check_items). No major gap in the risk-review lifecycle is apparent.