A policy-aware MCP server for GitHub and GitHub Actions that enables safe AI-assisted infrastructure workflows—inspecting repositories, preparing branches and pull requests, and constrained remote mutations behind explicit preview-bound approval tokens.
MCP server that equips AI agents with dev workflow tools including GitHub project management, conventional commits, visual regression testing, Jira/Confluence integration, and a persistent memory knowledge graph.
An MCP server implementing Spec-Driven Development workflows for AI-agent CLIs and IDEs like Claude Code and Cursor, enabling spec-first development with automated workflow guidance and quality checks.
MCP server for auditable repository self-maintenance, turning GitHub issues and failed CI into independently verified pull requests with full audit trails, human approvals, and runbook archival.
An MCP server that exposes 41 Azure DevOps tools to AI assistants, enabling management of pipelines, repositories, pull requests, releases, work items, test management, and wikis through natural language.