# omni-rag-mcp

> Use this tool when you need to efficiently search and analyze large directories of files, as it provides token-efficient semantic search and analysis capabilities through hybrid search, directory overview, and structural analysis. It solves problems related to information discovery, dependency identification, and directory organization, and accepts directory paths as input, outputting relevant search results and analysis graphs. Ideal for use cases where comprehensive file system understanding is required, such as data science, research, or software development projects.

Canonical page: https://skillsregistry.net/skills/suyash2013-codebase-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/suyash2013-codebase-rag-mcp

## Description

Enables token-efficient semantic search and analysis over any directory of files through hybrid search, directory overview, structural analysis, and dependency graphs.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nkui902tfn)
- **Repository:** <https://github.com/Suyash2013/codebase-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": "suyash2013-codebase-rag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/suyash2013-codebase-rag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/suyash2013-codebase-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