by PatrickSys · MCP Server · ★ 44
codebase-context Map your team's conventions before your AI agent starts searching. You're tired of AI agents writing code that "just works" but still misses how your team actually builds things. They search too broadly, pick generic examples, and spend tokens exploring before they understand the shape of the repo. changes the first step. Start with a bounded conventions map that shows the architecture, dominant patterns, and strongest local examples. Then search for the exact file, symbol, or workflow you need.
| Stars | 44 |
| Forks | 10 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 71.4987072348293/100 |
| Open Issues | 6 |
| Last Updated | 2026-05-11 |
| Created | 2025-11-24 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~156k |
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codebase-context is Generate a map of your codebaseto help AI Agents understand your architecture, coding conventions and patterns. Discoverable with Semantic Search. It is categorized as a MCP Server with 44 GitHub stars.
codebase-context is primarily written in TypeScript. It covers topics such as ai-agents, ai-coding, claude.
You can find installation instructions and usage details in the codebase-context GitHub repository at github.com/PatrickSys/codebase-context. The project has 44 stars and 10 forks, indicating an active community.