June 2025 performance summary for semgrep/mcp. Focused on improving onboarding and security guidance for MCP/Cursor/OpenAI, delivering consolidated docs and one-click installation flow, and refining remediation guidance for security vulnerabilities. This work reduces onboarding friction, accelerates adoption, and strengthens the system's security posture across the MCP integration surface.

May 2025 monthly summary for semgrep/mcp. Key features delivered: CI/CD Pipeline Security Hardening (pin actions/upload-artifact to specific SHA256 hashes ensuring secure, deterministic CI/CD runs) and Documentation update (experimental server status and global MCP setup). Major bugs fixed: none observed. Overall impact: increased security and reliability of CI/CD, clearer onboarding for global MCP deployment, enabling safer scaling and faster developer throughput. Technologies demonstrated: secure CI/CD configuration, precise artifact pinning, clear technical documentation, and cross-repo collaboration.

April 2025 monthly summary focused on onboarding, documentation, and release-readiness for MCP deployments. Delivered consolidated and improved documentation, onboarding materials, and release notes across two MCP repositories. Also fixed a critical user-visible issue to ensure accurate information. These efforts enhanced developer onboarding, reduced support friction, and clarified deployment paths (CLI/Docker) and connection guidance (SSE).

In March 2025, delivered a cohesive set of MCP-related enhancements across three repositories, focusing on documentation, onboarding, branding, and security scanning capabilities. The work improves developer productivity, accelerates onboarding, and enables security automation with Semgrep MCP server integrations, while maintaining a strong emphasis on business value through clear guidance, local development ergonomics, and consistent documentation.

February 2025: Delivered a focused documentation feature for semgrep-docs that clarifies privacy data isolation in multi-tenant deployments, including spelling and grammar improvements. This work reduces risk of misinterpreting data handling and enhances customer trust by clearly stating that data and code from different customers are never mixed in Semgrep deployments.