# SRC (Structured Repo Context)

> Use this tool when you need to transform complex codebases into AI-ready context for efficient searching and analysis. It solves problems of navigating large repositories and understanding cross-file relationships through semantic search and call graph analysis. The SRC tool takes in codebases as input and outputs an indexed context that enables hybrid vector and keyword searches, ideal for use cases where AI assistants require a deep understanding of repository structures.

Canonical page: https://skillsregistry.net/skills/kvnpetit-structured-repo-context-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kvnpetit-structured-repo-context-mcp

## Description

An MCP server and CLI tool that transforms codebases into AI-ready context through semantic search, call graph analysis, and incremental indexing. It enables AI assistants to perform hybrid vector and keyword searches to understand complex repository structures and cross-file relationships.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n6ar60aw53)
- **Repository:** <https://github.com/kvnpetit/structured-repo-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": "kvnpetit-structured-repo-context-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kvnpetit-structured-repo-context-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kvnpetit-structured-repo-context-mcp/pull`

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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