# code-rag-mcp

> code-rag-mcp — nicksulia-code-rag-mcp. Use this tool when you need to perform comprehensive code searches, retrieve symbol definitions, or manage repository relations across multiple repositories. It solves problems related to code discovery, symbol resolution, and repository management, enabling AI assistants to efficiently navigate and understand complex codebases. The tool accepts repository inputs and returns relevant code results, symbol definitions, and call hierarchies, making it ideal for use cases involving large-scale code analysis and development.

Canonical page: https://skillsregistry.net/skills/nicksulia-code-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nicksulia-code-rag-mcp

## Description

Enables AI assistants to perform hybrid semantic and lexical code search across multiple repositories, retrieve symbol definitions and call hierarchies, and manage repository relations through MCP tools.

## Trust

- **Trust score (0–1):** 0.03
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h4su9st57q)
- **Repository:** <https://github.com/nicksulia/code-rag-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": "nicksulia-code-rag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nicksulia-code-rag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nicksulia-code-rag-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