# grazer-mcp

> Use this tool when you need to discover and gather relevant content from multiple platforms, including BoTTube and other extensible sources, to feed AI agents with diverse and worthy data. It solves the problem of content scarcity and platform limitations, providing a unified interface for content discovery. The grazer-mcp tool takes in platform-specific queries and outputs a curated set of content, making it ideal for use cases requiring diverse and high-quality training data.

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

## Description

Multi-platform content discovery for AI agents over MCP — graze worthy content across BoTTube and an extensible set of sources.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v2qbzunhu7)
- **Repository:** <https://github.com/Scottcjn/grazer-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": "scottcjn-grazer-mcp"
    }
  }
}
```

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