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 your actual tools, data, and workflows, with the access controls and observability an enterprise needs.
How it works
I have built MCP servers (including a Trello MCP) ahead of official support, so the patterns are battle-tested rather than theoretical. We identify the highest-leverage tools to expose, build the integrations, and design multi-agent workflows scoped to real tasks instead of open-ended autonomy. Your engineers leave able to extend the system themselves.
Typical outcomes
A working, maintainable agentic system wired into your environment, plus the architectural patterns to grow it. Read more in designing MCP systems for real teams.
See also enterprise AI deployment.