# sourcerer-mcp

> sourcerer-mcp — yveslambert60-sourcerer-mcp. Use this tool when you need to efficiently search and navigate through large codebases, reducing unnecessary token usage. It solves problems of cumbersome code discovery and token waste, ideal for use cases involving semantic code search and git integration. The sourcerer-mcp tool takes in code queries and outputs relevant code results, streamlining development workflows.

Canonical page: https://skillsregistry.net/skills/yveslambert60-sourcerer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yveslambert60-sourcerer-mcp

## Description

MCP for semantic code search & navigation that reduces token waste

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-10-17

## Source

- **Source listing:** [GitHub](https://github.com/YvesLambert60/sourcerer-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": "yveslambert60-sourcerer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yveslambert60-sourcerer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yveslambert60-sourcerer-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