# yearbook-mcp-public

> Use this tool when you need to search and retrieve information from a vast collection of U.S. yearbooks, solving problems such as people search, alumni research, and historical data analysis. It takes in queries with names and returns relevant results from over 300,000 indexed yearbooks, covering 22,000 schools across the U.S. This tool is ideal for AI agents requiring access to large-scale historical people data, providing outputs such as extracted person mentions and associated yearbook metadata.

Canonical page: https://skillsregistry.net/skills/bryanmichael-hue-yearbook-mcp-public  
JSON: https://api.skillsregistry.net/v1/skills/bryanmichael-hue-yearbook-mcp-public

## Description

e-yearbook.com MCP (Model Context Protocol) server. The server lets any MCP-aware AI agent search over 300,000 U.S. yearbooks indexed by name.
Over 22,000 schools across all 50 U.S. states and territories
Over 300,000 distinct (school, year) yearbooks
Over 100M extracted person mentions

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **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/nhpufd0so0)
- **Repository:** <https://github.com/bryanmichael-hue/yearbook-mcp-public>

## 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": "bryanmichael-hue-yearbook-mcp-public"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bryanmichael-hue-yearbook-mcp-public` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bryanmichael-hue-yearbook-mcp-public/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