# Twitter

> Use this tool when you need to interact with Twitter for social media analysis, monitoring, or automation, as it provides capabilities for searching tweets, viewing timelines, posting updates, and sending direct messages. It solves problems related to Twitter data retrieval and interaction, with features like rate limiting and markdown formatting for easy readability. Ideal for workflows requiring automated Twitter interactions, it takes Twitter credentials as input and outputs formatted tweet data.

Canonical page: https://skillsregistry.net/skills/adhikasp-twikit  
JSON: https://api.skillsregistry.net/v1/skills/adhikasp-twikit

## Description

MCP-Twikit provides Twitter search and interaction capabilities for AI assistants through the FastMCP framework. Built by Adhika Setya Pramudita, it leverages the Twikit library to enable both read operations (searching tweets, viewing timelines, retrieving user tweets) and write operations (posting tweets, sending direct messages) with built-in rate limiting. The implementation authenticates using Twitter credentials stored as environment variables, manages cookies for persistent sessions, and formats tweet data in markdown for easy readability, making it ideal for workflows requiring Twitter monitoring, social media analysis, or automated Twitter interactions.

## Trust

- **Trust score (0–1):** 0.94
- **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/adhikasp-twikit)
- **Repository:** <https://github.com/zo-valentine/mcp-twikit>

## 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": "adhikasp-twikit"
    }
  }
}
```

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