# twitter-read

> Use this tool when you need to analyze Twitter engagement data and metrics, such as tweet performance, mentions, and replies. It enables AI agents to read Twitter data, track engagement, and search tweets based on engagement metrics. Ideal for use cases requiring social media monitoring, sentiment analysis, and influencer tracking.

Canonical page: https://skillsregistry.net/skills/polsia-inc-twitter-read-mcp  
JSON: https://api.skillsregistry.net/v1/skills/polsia-inc-twitter-read-mcp

## Description

An MCP server for reading Twitter/X engagement data and metrics, enabling AI agents to measure tweet performance, track mentions, analyze replies, and search tweets with engagement metrics.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tqa2snm88o)
- **Repository:** <https://github.com/Polsia-Inc/twitter-read-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": "polsia-inc-twitter-read-mcp"
    }
  }
}
```

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