# mcp-watchmode

> mcp-watchmode — pipeworx-io-mcp-watchmode. Use this tool when you need to track streaming availability of titles across multiple services, solving problems of content discovery and source identification. It provides inputs of title names and outputs comprehensive lists of streaming sources and release information. Ideal for use cases requiring up-to-date streaming metadata, such as content recommendation or media research.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-watchmode  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-watchmode

## Description

Streaming availability across 200+ services: titles, sources, releases.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-watchmode)

## 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": "pipeworx-io-mcp-watchmode"
    }
  }
}
```

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