# X Twitter Server

> Use this tool when you need to interact with Twitter using natural language to manage profiles, tweets, and followers. It solves problems related to Twitter API complexity, rate limits, and authentication, providing a simplified interface for fetching and posting data. Ideal for use cases requiring automated social media management, it accepts natural language inputs and outputs Twitter data, integrating seamlessly with AI tools.

Canonical page: https://skillsregistry.net/skills/rafaljanicki-x-twitter-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/rafaljanicki-x-twitter-mcp-server

## Description

Enable natural language interaction with Twitter to fetch profiles, post tweets, search trends, and manage followers and bookmarks. Simplify Twitter API v2 usage with built-in rate limit handling and secure authentication. Integrate seamlessly with AI tools for enhanced social media management.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** social-media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/rafaljanicki/x-twitter-mcp-server)
- **Repository:** <https://github.com/rafaljanicki/x-twitter-mcp-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": "rafaljanicki-x-twitter-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rafaljanicki-x-twitter-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rafaljanicki-x-twitter-mcp-server/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