# cineverse-mcp-discovery

> cineverse-mcp-discovery — dhurialokb2468-cineverse-mcp-discovery. Use this tool when you need to discover and classify media content from open datasets, leveraging machine learning and Model Context Protocol (MCP) to ensure accurate and reliable results. It solves problems related to media organization, search, and recommendation by providing a robust discovery platform. Ideal for use cases involving large-scale media catalogs, content curation, and metadata management.

Canonical page: https://skillsregistry.net/skills/dhurialokb2468-cineverse-mcp-discovery  
JSON: https://api.skillsregistry.net/v1/skills/dhurialokb2468-cineverse-mcp-discovery

## Description

Media discovery platform built by harvesting open datasets, applying machine learning text classification, and implementing Model Context Protocol (MCP) agentic RAG guardrails.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/dhurialokb2468/cineverse-mcp-discovery)

## 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": "dhurialokb2468-cineverse-mcp-discovery"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dhurialokb2468-cineverse-mcp-discovery` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dhurialokb2468-cineverse-mcp-discovery/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