YouTube Search Assistant With ADK, MCP And Gemma 3 MCP Server

Build AI Agent using Google ADK , MCP and Gemma 3 model. That is what the youtube search assistant with adk, mcp and gemma 3 mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

A practical implementation demonstrating YouTube search functionality using Google's Agent Development Kit (ADK), Model Context Protocol (MCP), and the Gemma 3 model via Ollama.

Getting it running

Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.

What it needs from you

Configuration is passed through the environment: SERP_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by arjunprabhulal; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against YouTube Search Assistant With ADK, MCP And Gemma 3's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

• Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.