# twitter-mcp-server

> twitter-mcp-server — anuragratna-twitter-mcp-server. Use this tool when you need to analyze sentiments of tweets or post updates on Twitter, solving problems related to social media monitoring and opinion mining. It takes in tweet data as input and outputs sentiment analysis results, providing valuable insights into public opinions. Ideal for use cases involving social media tracking, customer feedback analysis, or market research, where understanding tweet sentiments is crucial.

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

## Description

tweet, sentiment analysis

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **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/anuragratna/twitter-mcp-server)

## 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": "anuragratna-twitter-mcp-server"
    }
  }
}
```

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