# X (Twitter)

> Use this tool when you need to automate Twitter interactions, conduct social media research, or manage Twitter accounts programmatically. It enables Large Language Models to post, search, and reply to tweets through a straightforward interface, leveraging the Twitter API v2. Ideal for AI assistants, social media research, and automated customer engagement, it accepts API requests as input and returns tweet data as output.

Canonical page: https://skillsregistry.net/skills/crazyrabbitltc-twitter  
JSON: https://api.skillsregistry.net/v1/skills/crazyrabbitltc-twitter

## Description

This Twitter MCP server, developed by Dennison Bertram, enables Large Language Models (LLMs) to interact with Twitter (X) through the Model Context Protocol. Built with TypeScript and leveraging the Twitter API v2, it provides tools for posting tweets, searching tweets, and replying to tweets. The implementation stands out by offering a straightforward setup process and integration with Claude Desktop, making it accessible for users without extensive technical knowledge. It's particularly useful for AI assistants or applications needing to automate Twitter interactions, conduct social media research, or manage Twitter accounts programmatically, enabling tasks like sentiment analysis, trend monitoring, or automated customer engagement.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/crazyrabbitltc-twitter)
- **Repository:** <https://github.com/crazyrabbitltc/mcp-twitter-server>

## 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": "crazyrabbitltc-twitter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/crazyrabbitltc-twitter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/crazyrabbitltc-twitter/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