# Social MCP Connector

> Use this tool when you need to access live social media data from Meta and TikTok, such as follower counts and recent posts, to inform marketing strategies or track brand performance. It provides aggregated overviews and insights, solving problems related to social media monitoring and analytics. The tool accepts query inputs and returns relevant social data outputs, making it ideal for use cases requiring up-to-date social media metrics.

Canonical page: https://skillsregistry.net/skills/davolu-social-mcp-connector  
JSON: https://api.skillsregistry.net/v1/skills/davolu-social-mcp-connector

## Description

A remote MCP server that provides tools to query live Meta (Facebook+Instagram) and TikTok organic social data, such as follower counts, insights, recent posts, and aggregated overviews.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lmr7fhwpbu)
- **Repository:** <https://github.com/davolu/social-mcp-connector>

## 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": "davolu-social-mcp-connector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davolu-social-mcp-connector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davolu-social-mcp-connector/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