# Dewey

> Use this tool when you need to efficiently search and research large document collections with precise, cited answers. Dewey solves problems of information overload and tedious research by providing hybrid semantic search and agentic research queries. It takes in document collections and user queries as input, and outputs relevant, grounded answers in Markdown format via MCP-compatible agents.

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

## Description

Enables searching and researching document collections through hybrid semantic search and agentic research queries with grounded, cited answers. It allows users to list collections, scan document sections, and retrieve full Markdown content via MCP-compatible agents.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ohk8vxoxv5)
- **Repository:** <https://github.com/meetdewey/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": "meetdewey-mcp"
    }
  }
}
```

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