# ragtag-mcp

> Use this tool when you need to efficiently search and retrieve relevant information from large codebases and documentation. The ragtag-mcp server enables AI tools to leverage vector search with Ollama models, solving problems related to information discovery and knowledge retrieval. It takes in search queries as input and outputs relevant results, making it ideal for use cases where rapid access to specific code or documentation is required.

Canonical page: https://skillsregistry.net/skills/weston-barger-ragtag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/weston-barger-ragtag-mcp

## Description

A local RAG MCP server that enables AI tools like Claude to search indexed codebases and documentation using vector search with Ollama models.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qpaalhisg6)
- **Repository:** <https://github.com/weston-barger/ragtag-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": "weston-barger-ragtag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/weston-barger-ragtag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/weston-barger-ragtag-mcp/pull`

---
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