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Provides architecture visibility and control for agentic engineering teams.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.gjalla/mcp-server" MCP server from askskill: Run: claude mcp add 'io-gjalla-mcp-server' -- npx -y gjalla
Review the current project code and service structure, map core modules, dependencies, and key data flows, and point out weak spots in the architecture.
A clear architecture overview, module relationships, and risk points.
I need to change the authentication flow. First analyze which services, APIs, and tests will be affected, then recommend a low-risk implementation plan.
Affected scope, regression test suggestions, and implementation steps.
Review the system's observability design, assess whether logs, metrics, and tracing are sufficient, and suggest improvements.
Observability gaps and actionable improvement suggestions.
No documentation provided
Check the source repo for usage and examples.
Access and manage engineering docs with traceable support for requirements, tests, and impact analysis.
Manage project architecture, modules, and data flows locally with full privacy.
Navigate codebases with architecture-aware symbol lookup and layered structural analysis.
Build, deploy, and operate secure, observable AI agent MCP infrastructure.
Build MCP servers and custom agent tools faster with a development framework.
Analyze and manage software architecture graphs for impact, dependencies, and design decisions.