# facebook-group-search-mcp

> facebook-group-search-mcp — licheesight-facebook-group-search-mcp. Use this tool when you need to search Facebook groups efficiently, solving problems of information discovery and community research. It provides an interface for querying Facebook groups, taking search queries as input and returning relevant results as output. Ideal for use cases where social media data extraction and analysis are required, such as market research or social listening.

Canonical page: https://skillsregistry.net/skills/licheesight-facebook-group-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/licheesight-facebook-group-search-mcp

## Description

Facebook Group Search MCP Server for Cursor, Claude, Windsurf, and VS Code

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/LicheeSight/facebook-group-search-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": "licheesight-facebook-group-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/licheesight-facebook-group-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/licheesight-facebook-group-search-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