Inspiration

AI tools are powerful but fragmented. We built Nexus to unify intelligent agents, MCP tools, and Google Cloud into one seamless workspace.

What it does

Nexus is an AI workspace that connects agents with MCP servers and cloud services, enabling users to automate workflows, access tools, and complete tasks from a single interface.

How we built it

We built Nexus using Python, TypeScript, SQL, and Google Cloud technologies, integrating Gemini with the Model Context Protocol (MCP) to orchestrate agents and external tools.

Challenges we ran into

Integrating multiple MCP tools into a reliable, unified agent experience while keeping the system modular and responsive.

Accomplishments that we're proud of

  • Built a working multi-agent platform.
  • Integrated MCP tools with Google AI.
  • Created an extensible architecture for future growth.

What we learned

We learned that building effective AI agents depends as much on orchestration and tool integration as it does on the underlying models.

What's next for Nexus

We'll expand Nexus with more MCP integrations, smarter multi-agent collaboration, workflow automation, and deeper Google Cloud capabilities.

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