# codebase-context-mcp

> Use this tool when you need to efficiently analyze and map your codebase for AI coding agents, reducing redundant discoveries and token waste. It provides a comprehensive overview of your repository, solving problems of manual file-by-file analysis and optimizing agent performance. By inputting your codebase and outputting a detailed map, it streamlines AI coding workflows and improves overall productivity.

Canonical page: https://skillsregistry.net/skills/oh-namgyu-codebase-context-mcp  
JSON: https://api.skillsregistry.net/v1/skills/oh-namgyu-codebase-context-mcp

## Description

Static codebase analysis as MCP tools — give AI coding agents a map of your repo instead of letting them burn half their tokens rediscovering it file by file.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ydz92e2j3z)
- **Repository:** <https://github.com/oh-namgyu/codebase-context-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "oh-namgyu-codebase-context-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oh-namgyu-codebase-context-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oh-namgyu-codebase-context-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt