GitLog AI
AI Strategy

Why Agents Need Context

In the age of coding agents, your repository history is a dataset. Don't let it go to waste.

The Problem

AI agents like Claude Dev or Cursor are powerful, but they often lack temporal context. They see the code as it is now, but they don't know why it changed or what the recent momentum has been.

The Solution: Structured History

By exposing your changelog and commit history via an MCP Server (like GitLog AI), you give agents the ability to:

  • Trace the root cause of a recent bug.
  • Understand the intent behind a new feature.
  • Draft release announcements that match the actual work done.

Example Config

json
{
  "mcpServers": {
    "gitlog": {
      "command": "npx",
      "args": ["-y", "gitlog-mcp"]
      // The agent can now "ask" your repo what happened last week
    }
  }
}