# O'Reilly Content Search

> Use this tool when you need to find relevant technical learning resources, such as books and articles, and require a personalized search experience with filtered results and detailed metadata. It solves the problem of discovering curated educational content for technical professionals, providing a convenient and efficient way to search and retrieve resources. The tool takes in search queries and filters as input and outputs relevant learning resources with metadata, making it ideal for use in conversation interfaces where users seek educational content.

Canonical page: https://skillsregistry.net/skills/oreilly-content-search  
JSON: https://api.skillsregistry.net/v1/skills/oreilly-content-search

## Description

ORM Discovery MCP provides a bridge to O'Reilly Media's content search API, enabling AI assistants to find relevant books, articles, and other learning resources. Built with FastMCP, it offers tools for searching O'Reilly content with filters and retrieving detailed metadata including titles, authors, ratings, and topics. The server also includes a persona system that allows the assistant to adopt different professional perspectives when responding to queries. This implementation is particularly valuable for technical professionals seeking curated educational resources without leaving their conversation interface.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/oreilly-content-search)
- **Repository:** <https://github.com/odewahn/orm-mcp-tools>

## 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": "oreilly-content-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oreilly-content-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oreilly-content-search/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