# X(Twitter) MCP Server

> Use this tool when you need to streamline your Twitter posting process, creating and scheduling drafts of tweets and threads using large language models (LLMs) and posting directly from a chat interface. It solves the problem of manual post creation and scheduling, saving time and effort for social media managers and content creators. The tool accepts text inputs and outputs published Twitter posts, making it ideal for users who want to efficiently manage their Twitter presence.

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

## Description

A server to create drafts of X(Twitter) posts, threads using LLMs and post directly from the chat.

## 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:** social-media
- **Updated:** 2026-05-13

## Source

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

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

---
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