RepoRescue MCP
Related Servers
Alternatives to RepoRescue MCP
No user-submitted related servers found.
Related Servers
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- AlicenseNot gradedqualityAmaintenanceAn evidence-first integration decision service that assesses GitHub repositories and returns transparent scores, adoption recommendations, and verification gates.MIT

repo-doctorofficial
AlicenseNot gradedqualityCmaintenanceMCP server that produces scored, evidence-cited audits of public GitHub repos via tools for fetching metadata, reading files, scanning git history, and checking hygiene.MIT- FlicenseNot gradedqualityDmaintenanceScans GitHub repositories for security vulnerabilities by cloning, performing static analysis, secret detection, build verification, and AI-powered OWASP-aligned code review, producing a scored SECURITY.md report.-
- AlicenseNot gradedqualityBmaintenanceEnables MCP-compatible clients to audit public GitHub repositories and receive structured launch-readiness reports with evidence-backed findings, reproducible scoring, and ready-to-paste launch copy.9 npm2MIT
- AlicenseNot gradedqualityCmaintenanceExposes repository reconnaissance tools — file listing and verbatim reading, regex search, dependency-tree parsing across Python/Node/Rust/Go, and test-coverage ingestion — so agents can gather line-numbered evidence from real source files. This lets an audit pipeline physically re-verify every claim and drop findings that cannot be located in the code.MIT
TDQS
Scored across 4 tools
The four tools have largely distinct roles: probing the Windows environment, running Python snippets, inspecting a GitHub repository, and routing full-project reproduction. The only possible overlap is between rescue_python_snippet and reproduce_python_project, but their descriptions clearly separate snippet-level execution from repository-level routing.
Three tools follow a verb_noun snake_case pattern, while windows_environment_probe is a noun phrase and does not fit the imperative style. The naming is still readable and not chaotic, but the deviation prevents a higher score.
Four tools is a compact, well-scoped count for this server. Each tool has a defined responsibility, and there is no sign of unnecessary duplication or bloat.
The set supports evidence gathering but leaves key rescue workflows incomplete: there is no actual repair/apply operation, no way to run a full project in this server, and reproduce_python_project explicitly refuses to execute. Additionally, windows_environment_probe returns a script but has no matching tool to ingest the result, so agents can easily hit dead ends.