# mcp-twikit

> Use this tool when you need to interact with Twitter search and timeline, solving problems such as monitoring brand mentions, tracking hashtags, and analyzing user engagement. It provides an interface to input search queries and timeline parameters, and outputs relevant tweets and user data. Use mcp-twikit to streamline Twitter data collection and analysis in various contexts, including social media marketing and customer service.

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

## Description

Interact with Twitter search and timeline

## Trust

- **Trust score (0–1):** 1.00
- **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:** [Glama](https://glama.ai/mcp/servers/e9i9dd08w8)
- **Repository:** <https://github.com/adhikasp/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-mcp-twikit"
    }
  }
}
```

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