Serves coding agents with project-specific knowledge (decisions, conventions, constraints) over MCP and provides verification verdicts on whether code still complies.
Serves reusable SDLC agent roles and review checklists over MCP, enabling AI coding agents to execute structured product analysis, solution architecture, code review, and release management tasks in GitHub-first projects.
Provides coding agents with verified recommendations, version-specific breakage traps, design systems, and installable skills over MCP, enabling safer stack and dependency decisions without requiring an API key.
Enables AI agents to access unified development tools including code generation, documentation synchronization, test case rendering, and architecture graph queries through a single MCP server.
Enables MCP-compatible AI agents to connect to SoluCortex projects, recall relevant technical decisions, conventions, risks, and architecture before working, and record new memories afterward.
Empower any MCP-compatible AI Agent(MCP Client) with engineering-grade capabilities to understand, modify, run, and deliver real-world code repositories.