# gst-mcp

> Use this tool when you need to develop and introspect GStreamer pipelines, as it enables natural language queries to understand elements, caps, and construct pipelines. It solves problems of complex pipeline development and debugging by providing an interface for LLMs to interact with GStreamer through text-based inputs and receiving structured pipeline outputs. Ideal for use cases where automated pipeline construction and introspection are required, such as AI-powered multimedia processing and development.

Canonical page: https://skillsregistry.net/skills/wizenink-gst-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wizenink-gst-mcp

## Description

MCP server for GStreamer introspection and pipeline development. Enables LLMs to understand GStreamer elements, caps, and construct pipelines through natural language queries.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/niw42vfnxx)
- **Repository:** <https://github.com/wizenink/gst-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": "wizenink-gst-mcp"
    }
  }
}
```

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