# Sociality MCP

> Use this tool when you need to analyze social media performance, gain post insights, and benchmark against competitors. It solves problems related to understanding audience engagement, tracking content effectiveness, and informing data-driven marketing strategies. The Sociality MCP tool accepts social media data as input and outputs actionable analytics and competitor comparisons, making it ideal for AI agents seeking to optimize online presence and engagement.

Canonical page: https://skillsregistry.net/skills/socialityio-sociality-mcp  
JSON: https://api.skillsregistry.net/v1/skills/socialityio-sociality-mcp

## Description

Social media analytics, post insights, and competitor benchmarking for AI agents.

## 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/x522nktenq)
- **Repository:** <https://github.com/socialityio/sociality-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": "socialityio-sociality-mcp"
    }
  }
}
```

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