# twitter-mcp

> twitter-mcp — evangelinekamin-twitter-mcp. Use this tool when you need to aggregate and process Twitter data, such as posts, threads, and user profiles, to solve problems like social media monitoring, content analysis, and user insight generation. It takes Twitter data as input and outputs processed information, allowing for further analysis or integration with other tools. Ideal for use cases where Twitter data needs to be fetched and parsed, such as market research, sentiment analysis, or content curation.

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

## Description

A small MCP server that reads X / Twitter posts, threads, long-form articles, and user profiles.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/evangelinekamin/twitter-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": "evangelinekamin-twitter-mcp"
    }
  }
}
```

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