# docs-rag-mcp

> Use this tool when you need to efficiently search and retrieve information from local markdown files. It solves problems related to document retrieval and information discovery by utilizing TF-IDF retrieval to rank relevant documents. The tool takes markdown files as input and outputs full documents as resources, making it ideal for use cases where quick access to specific documents is necessary.

Canonical page: https://skillsregistry.net/skills/shrish346-docs-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/shrish346-docs-rag-mcp

## Description

Searches local markdown files using TF-IDF retrieval and serves full documents as resources.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/cp0xfnl6fp)
- **Repository:** <https://github.com/shrish346/docs-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": "shrish346-docs-rag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shrish346-docs-rag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shrish346-docs-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