What this is
AI is only as useful as the context and tools it can reach. I design and build multi-agent systems and Model Context Protocol (MCP) integrations that connect AI assistants to real tools, data, and workflows, with the access controls and observability an enterprise needs.
How it works
I have built MCP servers ahead of official support, so the patterns are battle-tested rather than theoretical. The approach: identify the highest-leverage tools to expose, build the integrations, and design multi-agent workflows scoped to real tasks instead of open-ended autonomy. The engineers who run it leave able to extend the system themselves.
Typical outcomes
A working, maintainable agentic system wired into the environment, plus the architectural patterns to grow it.
See also enterprise AI deployment.