rush
Related Servers
Alternatives to rush
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Related Servers
- AlicenseNot gradedqualityAmaintenanceAutonomous spec-to-product coding-agent CLI. Its MCP server exposes 34 tools over stdio: project state and task-queue ops, memory retrieve/store, code search, quality and verification reports, repo hotspots/co-changes, and structured findings/learnings.3,973 npm1,096Business Source 1.1
- AlicenseNot gradedqualityNot gradedmaintenanceLocal-first codebase intelligence and task context for coding agents, via CLI, MCP, and local HTTP.933 PyPI1Apache 2.0
- AlicenseNot gradedqualityCmaintenanceAnalyzes codebases to produce structured quality health reports with risk-scored modules based on git churn, test coverage, and test-to-source mapping, acting as an MCP server for AI coding agents and a standalone CLI.MIT
- AlicenseNot gradedqualityCmaintenanceExposes 11 agent-native QA tools over stdio so coding agents can discover a project, analyze risk, select the smallest relevant test set, generate and dry-run tests, triage failures, propose tiered heals, analyze flakes, generate quality reports, and evaluate release readiness. Planning and healing tools stay read-only or propose-only, while execution defaults to dry-run, keeping agent actions safe and evidence-backed.MIT
- -licenseNot gradedqualityNot gradedmaintenanceProvides comprehensive code quality tools including linting, security scanning, TypeScript checking, and testing through a single MCP server. Integrates multiple quality analysis tools like Biome, ESLint, and Playwright for streamlined development workflows.-
- AlicenseNot gradedqualityDmaintenanceCode linting and style checking tools for AI agents, exposed as an MCP server. Supports style checks, naming conventions, complexity analysis, dead code detection, and import analysis.32 npmMIT
TDQS
Scored across 79 tools
Many tools fall into the same broad audit/scan bucket, such as rush_review, rush_lint, rush_slop, rush_dead, and rush_complexity, making selection genuinely ambiguous. Test-related tools like rush_test, rush_e2e, rush_snapshot, and rush_visual also blur together, and the deprecated rush_attest_generate alias adds extra confusion.
All tools share the rush_ prefix and snake_case, which keeps the naming readable. However, the operation part is inconsistent: some are nouns, some are verbs, and some are long descriptive phrases, so there is no predictable verb_noun or noun_verb convention.
With 79 tools, this is an extreme over-scoped MCP surface and far exceeds the threshold where a tool set remains navigable. Many related scanners could be consolidated into a single parameterized scan/audit tool, and the sheer count severely harms discoverability.
The inferred domain is a broad engineering-quality and release-readiness assistant, and the tool set covers static analysis, testing, security, release planning, AI evaluation, context management, and agent coordination. Some gaps remain—many findings can only be remediated by rush_fix and several tools depend on external engines—but agents can generally work around these.