Analyze software dependencies for licenses, vulnerabilities, SBOMs, and policy compliance.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-semclone" yet — see the docs or source repo.
Run software composition analysis on this project, identify license types and known vulnerabilities for all third-party dependencies, and summarize the highest-priority issues.
A dependency report with license details, vulnerability findings, risk levels, and remediation priorities.
Generate a standard-format SBOM for the current repository, listing all direct and transitive dependencies with versions, sources, and license information.
A structured SBOM file or summary suitable for auditing, archiving, and supply chain security reviews.
Check this project against the team’s open-source compliance policy, flag disallowed licenses, components exceeding vulnerability thresholds, and dependencies that violate release requirements.
A policy validation report listing violations, trigger reasons, and whether the project passes release gates.
Safely drive Ansible and Terraform automation in Semaphore with a read-first MCP server.
Discover, manage, and execute tools across MCP servers with natural language.
Index codebases semantically and find relevant code using natural language queries.
Safely lets AI agents use threat analysis and security operations tools.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Analyze AI security, scan vulnerabilities, and monitor code leaks efficiently.