# SocialData MCP Server

> SocialData MCP Server — thesethrose-socialdata-mcp-server. Use this tool when you need to manage and process social media data at scale, solving problems related to data collection, processing, and analysis for social media monitoring, sentiment analysis, and influencer identification. It takes in social media posts, comments, and other online data as input and outputs actionable insights, trends, and patterns. Ideal for use cases requiring large-scale social media data processing, such as market research, customer service, and social media marketing.

Canonical page: https://skillsregistry.net/skills/thesethrose-socialdata-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/thesethrose-socialdata-mcp-server

## Description

A comprehensive Model Context Protocol (MCP) server that provides tools for interacting with the SocialData API. This server allows you to fetch Twitter/X data, monitor user activity, and analyze social media engagement programmatically.

## Trust

- **Trust score (0–1):** 0.98
- **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/c04b4bpjr3)
- **Repository:** <https://github.com/TheSethRose/SocialData-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": "thesethrose-socialdata-mcp-server"
    }
  }
}
```

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