CodeGraphContext
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<h1>Installation</h1>
<h2 id="installation-guide">🧩 Installation Guide</h2>
<p>Welcome to <strong>CodeGraphContext</strong>! This guide provides a clear and seamless path to installing and configuring the tool, from prerequisites to launching your server.</p>
<h2 id="prerequisites">⚙️ Prerequisites</h2>
<p>Ensure the following are installed before you begin:</p>
<ul>
<li><strong>Python</strong>: Version 3.8 or higher.</li>
<li><strong>AI Agentic Coding Tool</strong>: An MCP-compatible AI assistant (e.g., Gemini, Claude) if you plan to use the MCP server.</li>
</ul>
<h2 id="getting-started">🚀 Getting Started</h2>
<p>Follow these steps to set up <strong>CodeGraphContext</strong> effortlessly.</p>
<h3 id="1-install-from-pypi">1. Install from PyPI</h3>
<p>Install the <code>codegraphcontext</code> package directly from PyPI using pip:</p>
<pre><code class="language-bash">pip install codegraphcontext
</code></pre>
<h3 id="2-run-the-setup-wizard">2. Run the Setup Wizard</h3>
<p>Launch the interactive setup wizard to configure your Neo4j database and development environment:</p>
<pre><code class="language-bash">cgc setup
</code></pre>
<p>The wizard guides you through a series of intuitive prompts to tailor your setup.</p>
<h2 id="step-by-step-guide-for-the-setup-wizard">🧭 "Step-by-Step Guide for the Setup Wizard"</h2>
<p>When you run <code>cgc setup</code>, the wizard offers a thoughtful journey through configuration. Follow these steps to complete your setup with ease:</p>
<p><strong>1. Select Your Database Location</strong></p>
<p>Choose where your Neo4j database will reside:</p>
<ul>
<li><strong>Local (Recommended)</strong>: Host Neo4j on your machine for simplicity. </li>
<li><strong>Docker</strong>: With Docker installed, the wizard crafts a <code>docker-compose.yml</code> file and launches a Neo4j container seamlessly. </li>
<li><strong>Local Binary</strong>: On Debian-based systems (e.g., Ubuntu) or Mac Systems, the wizard installs Neo4j directly with your permission. </li>
<li><strong>Hosted</strong>: Connect to a remote Neo4j instance, such as AuraDB, by providing your database URI, username, and password. </li>
<li><strong>Existing Instance</strong>: For an existing Neo4j server (local or remote), enter its connection credentials.</li>
</ul>
<p><strong>2. Configure Your Development Environment</strong></p>
<p>Integrate CodeGraphContext with your preferred development tool for a harmonious workflow. Select from supported options:</p>
<ul>
<li>VS Code</li>
<li>Cursor</li>
<li>Windsurf</li>
<li>Claude</li>
<li>Gemini CLI</li>
<li>ChatGPT Codex</li>
<li>Cline</li>
<li>RooCode</li>
<li>Amazon Q Developer</li>
</ul>
<p>The wizard automatically updates configuration files to align with your choice.
Upon completing the prompts, the wizard creates two essential files:</p>
<ul>
<li><strong><code>mcp.json</code></strong>: Placed in your working directory, this file configures the MCP server. </li>
<li><strong><code>.env</code></strong>: Stored securely in <code>~/.codegraphcontext</code>, this file safeguards your Neo4j credentials.</li>
</ul>
<p>These files ensure smooth communication between CodeGraphContext, your Neo4j instance, and your AI assistant.</p>
<h3 id="3-start-the-server">3. Start the Server</h3>
<p>Once configuration is complete, launch the MCP server with:</p>
<pre><code class="language-bash">cgc start
</code></pre>
<p>Your <strong>CodeGraphContext</strong> server is now active, ready to power AI-assisted graph queries.</p>
<h2 id="next-steps">Next Steps</h2>
<p>With <strong>CodeGraphContext</strong> installed and configured, you’re ready to explore its AI-powered capabilities. Happy coding ✨!</p>
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