# Twitter Server

> Use this tool when you need to interact with Twitter programmatically, such as posting tweets or searching for specific content, and integrate it with your development workflow through git. It allows for automated posting and searching, solving problems like social media automation and content discovery. The tool accepts search queries and tweet content as inputs and returns relevant Twitter data as output.

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

## Description

A Model Context Protocol server that allows interaction with Twitter, enabling posting tweets and searching Twitter.

## 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:** 2026-04-27

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/enescinar/twitter-mcp)
- **Repository:** <https://github.com/EnesCinr/twitter-mcp#readme>

## 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": "enescinar-twitter-mcp"
    }
  }
}
```

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