# Mastodon

> Use this tool when you need to automate interactions with Mastodon social media accounts, creating and scheduling posts with customizable visibility and media attachments. It solves problems of manual posting and engagement management, providing a secure and efficient way to manage Mastodon presence. With inputs of post content and credentials, and outputs of published toots, it is ideal for use cases such as automated content scheduling and social media management.

Canonical page: https://skillsregistry.net/skills/the-focus-ai-mastodon  
JSON: https://api.skillsregistry.net/v1/skills/the-focus-ai-mastodon

## Description

Mastodon MCP provides tools for interacting with Mastodon social media accounts through the Model Context Protocol. Developed by The-Focus-AI, this server implementation enables creating toots (posts) with customizable visibility settings and media attachments including images, videos, and audio files. It securely manages credentials using 1Password CLI for authentication with Mastodon instances, defaulting to floss.social but configurable via environment variables. The implementation is particularly useful for automated social media posting, content scheduling, and managing Mastodon engagement without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/the-focus-ai-mastodon)
- **Repository:** <https://github.com/the-focus-ai/mastodon-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": "the-focus-ai-mastodon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/the-focus-ai-mastodon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/the-focus-ai-mastodon/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