# StreamXpress MCP Server

> StreamXpress MCP Server — fasenchen-streamxpress-mcp. Use this tool when you need to control and automate TS stream playback for testing, simulation, or broadcast applications. It solves problems related to stream management, output configuration, and remote control by providing a programmable interface for file loading, rate adjustment, and TS-over-IP/RF output setup. It accepts commands and configuration inputs, and outputs controlled TS streams through DekTec StreamXpress devices.

Canonical page: https://skillsregistry.net/skills/fasenchen-streamxpress-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fasenchen-streamxpress-mcp

## Description

Enables AI to control DekTec StreamXpress for TS stream playback, including file loading, rate adjustment, and TS-over-IP/RF output configuration through remote control.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gpvfehdonp)
- **Repository:** <https://github.com/FasenChen/StreamXpress_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": "fasenchen-streamxpress-mcp"
    }
  }
}
```

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