/samples/Recent content in Samples on MCP Toolbox for DatabasesHugoen/samples/deploy_adk_agent/Mon, 01 Jan 0001 00:00:00 +0000/samples/deploy_adk_agent/<h2 id="before-you-begin">Before you begin</h2> <p>This guide assumes you have already done the following:</p> <ol> <li>Completed the <a href="/documentation/getting-started/local_quickstart/">Python Quickstart (Local)</a> and have a working ADK agent running locally.</li> <li>Installed the <a href="https://cloud.google.com/sdk/docs/install">Google Cloud CLI</a>.</li> <li>A Google Cloud project with billing enabled.</li> </ol> <h2 id="step-1-deploy-mcp-toolbox-to-cloud-run">Step 1: Deploy MCP Toolbox to Cloud Run</h2> <p>Before deploying your agent, your MCP Toolbox server needs to be accessible from the cloud. We will deploy MCP Toolbox to Cloud Run.</p> <p>Follow the <a href="/documentation/deploy-to/cloud-run/">Deploy to Cloud Run</a> guide to deploy your MCP Toolbox instance.</p>/samples/prompts_quickstart_gemini_cli/Mon, 01 Jan 0001 00:00:00 +0000/samples/prompts_quickstart_gemini_cli/<h2 id="before-you-begin">Before you begin</h2> <p>This guide assumes you have already done the following:</p> <ol> <li>Installed <a href="https://www.postgresql.org/download/">PostgreSQL 16+ and the <code>psql</code> client</a>.</li> </ol> <h2 id="step-1-set-up-your-database">Step 1: Set up your database</h2> <p>In this section, we will create a database, insert some data that needs to be accessed by our agent, and create a database user for Toolbox to connect with.</p> <ol> <li> <p>Connect to postgres using the <code>psql</code> command:</p> <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-bash" data-lang="bash"><span class="line"><span class="cl">psql -h 127.0.0.1 -U postgres </span></span></code></pre></div><p>Here, <code>postgres</code> denotes the default postgres superuser.</p>