# Transistor

> Use this tool when you need to manage podcasts and episodes, solving problems like automated content updates and streamlined audio publishing. It interacts with the Transistor.fm API, accepting inputs like podcast metadata and episode files, and outputs managed podcast content. Ideal for podcasters and audio content creators seeking to simplify their workflow.

Canonical page: https://skillsregistry.net/skills/gxjansen-transistor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gxjansen-transistor-mcp

## Description

Interact with the Transistor.fm API to manage podcasts and episodes.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/gxjansen/Transistor-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": "gxjansen-transistor-mcp"
    }
  }
}
```

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