# Claude RAG MCP Pipeline

> Use this tool when you need to search and query personal document collections using semantic search and conversational AI. It solves problems of information retrieval and knowledge discovery in large document sets, preserving context across exchanges. The pipeline takes in personal documents (PDF, Word, Markdown, text) and outputs relevant search results, enabling efficient and intuitive access to information.

Canonical page: https://skillsregistry.net/skills/kenjisekino-claude-rag-mcp-pipeline  
JSON: https://api.skillsregistry.net/v1/skills/kenjisekino-claude-rag-mcp-pipeline

## Description

Enables Claude Desktop to search and query personal document collections (PDF, Word, Markdown, text) using semantic search and conversational AI with full context preservation across exchanges.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s72jhdwwuj)
- **Repository:** <https://github.com/kenjisekino/claude-rag-mcp-pipeline>

## 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": "kenjisekino-claude-rag-mcp-pipeline"
    }
  }
}
```

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