# AgenticRAG MCP Server

> Use this tool when you need to enhance code repository search and understanding with semantic capabilities. It solves problems of inefficient codebase navigation and knowledge retrieval by providing contextual understanding through self-evaluating retrieval loops. The AgenticRAG MCP Server takes in code repositories as input and outputs relevant, semantically searched results, ideal for use cases requiring intelligent code analysis and exploration.

Canonical page: https://skillsregistry.net/skills/aibozo-agenticrag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aibozo-agenticrag-mcp

## Description

An intelligent codebase processing server that provides agentic RAG capabilities for code repositories, enabling semantic search and contextual understanding through self-evaluating retrieval loops.

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vv0hnusk9w)
- **Repository:** <https://github.com/aibozo/agenticRAG-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": "aibozo-agenticrag-mcp"
    }
  }
}
```

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