How Codex and Claude Code Understand the Project Context at a Glance

When building a product on your own, writing code isn’t the only repetitive task. Every time you open Codex or Claude Code, you find yourself repeatedly explaining “what you’re currently building,” “what design and documentation changes have been made recently,” and “how far the deployment has progressed.”

Snapside’s MCP integration reduces this repetition. It enables Codex and Claude Code to directly read the product history accumulated within a single project and use it as context for the tasks at hand.

Instead of having to explain things across multiple tools,

product context isn’t confined to a single place. Requirements are in Notion, screens are updated in Figma, implementations are stored on GitHub, and the results are deployed to Vercel. If AI coding tools only read the repository, they can understand the code but struggle to grasp why the code is the way it is today.

Snapside organizes changes across each service into a unified timeline. Codex and Claude Code, connected via MCP, read this timeline to instantly grasp the flow between documentation, design, code, and deployment.

Instead of explaining the project to the AI from scratch every time, let it read the product history that’s already been recorded.

What You Can View via MCP

Connected AI systems can access the following information through Snapside’s ` read_timeline ` tool :

• Project name and description
• Notion document changes
• Figma design changes
• GitHub commits, pull requests, and releases
• Vercel deployments
• Previous Codex and Claude Code Work Sessions
• Time, description, and source link for each event

You can also narrow your search by date, source, event type, or keywords. For more detailed information, use ` read_timeline_event